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Operator AI/ML Engineer at Rackner

Designs, develops, and deploys AI-enabled solutions and process automations across educational and operational environments while ensuring responsible AI governance and compliance.

Mid Remote Posted about 16 hours ago RemoteFirstJobs Product
What this role involves

AI/ML Specialist

Location: Remote

Clearance Level: Active Secret

Overview

Rackner is seeking an AI/ML Specialist to support the responsible design, development, evaluation, and deployment of artificial intelligence and automation capabilities across educational and operational environments.

The AI/ML Specialist will help identify high-value AI use cases, assess technical and organizational readiness, develop and deploy AI-enabled solutions, and support governance, monitoring, and adoption activities. This role will work across stakeholders, technical teams, data teams, and program leadership to integrate AI capabilities into existing business processes while ensuring solutions align with responsible AI principles, Government policy, and organizational strategy.

The AI/ML Specialist will also support the evaluation of emerging AI and large language model platforms, develop intelligent automation solutions, and contribute to AI governance, procurement readiness, and enterprise adoption.

Responsibilities

  • Support the responsible integration of artificial intelligence into educational and operational business processes
  • Design, develop, test, and deploy AI-driven solutions and process automations
  • Conduct AI readiness assessments for proposed use cases
  • Perform feasibility, benefit, risk, and implementation analyses using standardized evaluation frameworks
  • Evaluate candidate AI use cases based on mission value, data readiness, technical complexity, security, governance, and expected return
  • Develop technical supplements to enterprise AI governance frameworks, including:
    • AI tool evaluation and adoption criteria
    • Model performance monitoring and evaluation protocols
    • AI risk and control requirements
    • AI incident detection and response procedures
    • Human oversight and escalation mechanisms
  • Design and implement AI-enabled business process automations using Government-authorized platforms such as:
    • Power Automate
    • Power Apps
    • Copilot Studio
    • Comparable workflow and intelligent automation platforms
  • Develop AI-enabled solutions through established solution delivery processes, including:
    • Intake and requirements assessment
    • Solution design
    • Prototype development
    • Testing and validation
    • Security and governance review
    • Production deployment
    • Post-deployment monitoring
  • Build and maintain AI agents and agent-enabled workflows
  • Develop intelligent document processing capabilities for classification, extraction, summarization, routing, and related use cases
  • Integrate AI capabilities with enterprise applications, data platforms, APIs, and workflow systems
  • Develop and maintain automated workflows incorporating AI or machine learning components
  • Support AI tool evaluation, pilot program development, and proof-of-concept initiatives
  • Develop evaluation criteria, test plans, success metrics, and recommendations for AI pilots
  • Evaluate emerging AI, machine learning, generative AI, and large language model platforms for organizational applicability
  • Assess Department of Defense-developed, Government-provided, and commercially acquired AI/LLM platforms
  • Support procurement readiness activities for AI tools, including requirements definition, technical evaluation, risk identification, and adoption criteria
  • Develop AI-enabled analytics capabilities including:
    • Predictive modeling
    • Forecasting
    • Natural-language query
    • Classification and anomaly detection
    • Decision-support capabilities
  • Support development of semantic models and AI-ready data products within enterprise Lakehouse environments
  • Develop Python-based AI/ML prototypes, integrations, evaluations, and automation components
  • Support model and solution testing for accuracy, performance, reliability, bias, robustness, and operational suitability
  • Establish and maintain model performance metrics and monitoring processes
  • Support identification, triage, documentation, and response for AI-related incidents or unexpected model behaviors
  • Collaborate with data engineers, analysts, governance teams, cybersecurity teams, and application developers to operationalize AI capabilities
  • Translate stakeholder needs into AI use cases, technical requirements, solution designs, and acceptance criteria
  • Support stakeholder engagement, demonstrations, workshops, training, and adoption activities
  • Develop technical documentation, implementation guides, evaluation reports, and user-facing materials
  • Support change management and adoption efforts for AI-enabled processes
  • Ensure AI solutions align with applicable organizational AI strategies, AI guidelines, security requirements, and responsible AI principles

Qualifications

  • Experience designing, developing, evaluating, or implementing AI/ML solutions
  • Experience with responsible AI frameworks, governance, or risk-management practices
  • Experience with Power Automate, Copilot Studio, or comparable AI and workflow automation platforms
  • Python proficiency
  • Experience working with APIs, data sources, and enterprise applications to integrate AI-enabled capabilities
  • Experience evaluating, piloting, or deploying AI, machine learning, generative AI, or LLM-based tools in organizational environments
  • Understanding of the AI/ML solution lifecycle, including requirements gathering, development, testing, deployment, monitoring, and maintenance
  • Experience developing prototypes, proofs of concept, or production AI-enabled applications
  • Familiarity with model evaluation, performance measurement, and monitoring approaches
  • Ability to assess technical feasibility, business value, implementation complexity, and risk for AI use cases
  • Strong analytical, problem-solving, communication, and documentation skills
  • Experience working with technical and non-technical stakeholders
  • Ability to translate operational needs into practical AI-enabled solutions
  • Active Secret clearance

Preferred Qualifications

  • Familiarity with the Department of Defense Responsible AI Strategy and related DoD AI guidance
  • Experience developing or implementing AI governance frameworks
  • Experience with generative AI and large language models
  • Experience building AI agents or agentic workflows
  • Experience with retrieval-augmented generation, embeddings, semantic search, or vector databases
  • Experience developing intelligent document processing solutions
  • Experience with Microsoft Fabric, Azure AI, Azure OpenAI, or related Microsoft cloud AI services
  • Experience with Power Platform technologies, including Power Apps and Power Automate
  • Experience developing predictive analytics, forecasting, or natural-language analytics capabilities
  • Experience with model evaluation frameworks, guardrails, human-in-the-loop controls, or AI observability
  • Experience evaluating AI tools for security, privacy, reliability, bias, and organizational fit
  • Experience supporting AI procurement, technology selection, or pilot programs
  • Familiarity with AI capabilities within enterprise Lakehouse or semantic-model architectures
  • Experience within Department of Defense, federal, or education environments

About Rackner

Rackner is a software consultancy focused on building mission-critical systems for the U.S. government. Our teams work across cloud platforms, DevSecOps, AI/ML, distributed systems, and modern software engineering initiatives supporting federal agencies and national security missions. Rackner engineers and technical teams collaborate closely with leadership, program teams, and mission stakeholders to design, demonstrate, and improve software systems that address complex operational challenges.

Benefits & Perks

At Rackner, we believe that when our people grow, our company grows with them, and we are committed to supporting their growth, development and success. We are proud to offer a creative and forward-thinking environment that includes:

• Company-supported certifications aligned to current and future program work,

including cloud, Kubernetes, DevSecOps, security, AI/ML, project management, and

related technical areas

• Clear advancement tracks and future leadership opportunities

• 401(k) with 100% match up to 6%

• Comprehensive medical, dental, vision, life, and disability coverage

• Generous PTO and paid holidays

• Home-office equipment plan and remote work support

• Fitness and wellness reimbursement

• Weekly pay schedule and modern perks, including team events

Equal Opportunity

Rackner is an equal opportunity employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics.

Read the full description
Operator AI/ML Engineer at Rackner

Designs, develops, and deploys AI-enabled solutions and process automations while supporting governance, readiness assessments, and enterprise adoption of AI capabilities.

Mid Remote Posted about 16 hours ago RemoteFirstJobs Product
What this role involves

AI/ML Specialist

Location: Remote

Clearance Level: Active Secret

Overview

Rackner is seeking an AI/ML Specialist to support the responsible design, development, evaluation, and deployment of artificial intelligence and automation capabilities across educational and operational environments.

The AI/ML Specialist will help identify high-value AI use cases, assess technical and organizational readiness, develop and deploy AI-enabled solutions, and support governance, monitoring, and adoption activities. This role will work across stakeholders, technical teams, data teams, and program leadership to integrate AI capabilities into existing business processes while ensuring solutions align with responsible AI principles, Government policy, and organizational strategy.

The AI/ML Specialist will also support the evaluation of emerging AI and large language model platforms, develop intelligent automation solutions, and contribute to AI governance, procurement readiness, and enterprise adoption.

Responsibilities

  • Support the responsible integration of artificial intelligence into educational and operational business processes
  • Design, develop, test, and deploy AI-driven solutions and process automations
  • Conduct AI readiness assessments for proposed use cases
  • Perform feasibility, benefit, risk, and implementation analyses using standardized evaluation frameworks
  • Evaluate candidate AI use cases based on mission value, data readiness, technical complexity, security, governance, and expected return
  • Develop technical supplements to enterprise AI governance frameworks, including:
    • AI tool evaluation and adoption criteria
    • Model performance monitoring and evaluation protocols
    • AI risk and control requirements
    • AI incident detection and response procedures
    • Human oversight and escalation mechanisms
  • Design and implement AI-enabled business process automations using Government-authorized platforms such as:
    • Power Automate
    • Power Apps
    • Copilot Studio
    • Comparable workflow and intelligent automation platforms
  • Develop AI-enabled solutions through established solution delivery processes, including:
    • Intake and requirements assessment
    • Solution design
    • Prototype development
    • Testing and validation
    • Security and governance review
    • Production deployment
    • Post-deployment monitoring
  • Build and maintain AI agents and agent-enabled workflows
  • Develop intelligent document processing capabilities for classification, extraction, summarization, routing, and related use cases
  • Integrate AI capabilities with enterprise applications, data platforms, APIs, and workflow systems
  • Develop and maintain automated workflows incorporating AI or machine learning components
  • Support AI tool evaluation, pilot program development, and proof-of-concept initiatives
  • Develop evaluation criteria, test plans, success metrics, and recommendations for AI pilots
  • Evaluate emerging AI, machine learning, generative AI, and large language model platforms for organizational applicability
  • Assess Department of Defense-developed, Government-provided, and commercially acquired AI/LLM platforms
  • Support procurement readiness activities for AI tools, including requirements definition, technical evaluation, risk identification, and adoption criteria
  • Develop AI-enabled analytics capabilities including:
    • Predictive modeling
    • Forecasting
    • Natural-language query
    • Classification and anomaly detection
    • Decision-support capabilities
  • Support development of semantic models and AI-ready data products within enterprise Lakehouse environments
  • Develop Python-based AI/ML prototypes, integrations, evaluations, and automation components
  • Support model and solution testing for accuracy, performance, reliability, bias, robustness, and operational suitability
  • Establish and maintain model performance metrics and monitoring processes
  • Support identification, triage, documentation, and response for AI-related incidents or unexpected model behaviors
  • Collaborate with data engineers, analysts, governance teams, cybersecurity teams, and application developers to operationalize AI capabilities
  • Translate stakeholder needs into AI use cases, technical requirements, solution designs, and acceptance criteria
  • Support stakeholder engagement, demonstrations, workshops, training, and adoption activities
  • Develop technical documentation, implementation guides, evaluation reports, and user-facing materials
  • Support change management and adoption efforts for AI-enabled processes
  • Ensure AI solutions align with applicable organizational AI strategies, AI guidelines, security requirements, and responsible AI principles

Qualifications

  • Experience designing, developing, evaluating, or implementing AI/ML solutions
  • Experience with responsible AI frameworks, governance, or risk-management practices
  • Experience with Power Automate, Copilot Studio, or comparable AI and workflow automation platforms
  • Python proficiency
  • Experience working with APIs, data sources, and enterprise applications to integrate AI-enabled capabilities
  • Experience evaluating, piloting, or deploying AI, machine learning, generative AI, or LLM-based tools in organizational environments
  • Understanding of the AI/ML solution lifecycle, including requirements gathering, development, testing, deployment, monitoring, and maintenance
  • Experience developing prototypes, proofs of concept, or production AI-enabled applications
  • Familiarity with model evaluation, performance measurement, and monitoring approaches
  • Ability to assess technical feasibility, business value, implementation complexity, and risk for AI use cases
  • Strong analytical, problem-solving, communication, and documentation skills
  • Experience working with technical and non-technical stakeholders
  • Ability to translate operational needs into practical AI-enabled solutions
  • Active Secret clearance

Preferred Qualifications

  • Familiarity with the Department of Defense Responsible AI Strategy and related DoD AI guidance
  • Experience developing or implementing AI governance frameworks
  • Experience with generative AI and large language models
  • Experience building AI agents or agentic workflows
  • Experience with retrieval-augmented generation, embeddings, semantic search, or vector databases
  • Experience developing intelligent document processing solutions
  • Experience with Microsoft Fabric, Azure AI, Azure OpenAI, or related Microsoft cloud AI services
  • Experience with Power Platform technologies, including Power Apps and Power Automate
  • Experience developing predictive analytics, forecasting, or natural-language analytics capabilities
  • Experience with model evaluation frameworks, guardrails, human-in-the-loop controls, or AI observability
  • Experience evaluating AI tools for security, privacy, reliability, bias, and organizational fit
  • Experience supporting AI procurement, technology selection, or pilot programs
  • Familiarity with AI capabilities within enterprise Lakehouse or semantic-model architectures
  • Experience within Department of Defense, federal, or education environments

About Rackner

Rackner is a software consultancy focused on building mission-critical systems for the U.S. government. Our teams work across cloud platforms, DevSecOps, AI/ML, distributed systems, and modern software engineering initiatives supporting federal agencies and national security missions. Rackner engineers and technical teams collaborate closely with leadership, program teams, and mission stakeholders to design, demonstrate, and improve software systems that address complex operational challenges.

Benefits & Perks

At Rackner, we believe that when our people grow, our company grows with them, and we are committed to supporting their growth, development and success. We are proud to offer a creative and forward-thinking environment that includes:

• Company-supported certifications aligned to current and future program work,

including cloud, Kubernetes, DevSecOps, security, AI/ML, project management, and

related technical areas

• Clear advancement tracks and future leadership opportunities

• 401(k) with 100% match up to 6%

• Comprehensive medical, dental, vision, life, and disability coverage

• Generous PTO and paid holidays

• Home-office equipment plan and remote work support

• Fitness and wellness reimbursement

• Weekly pay schedule and modern perks, including team events

Equal Opportunity

Rackner is an equal opportunity employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics.

Read the full description
Operator AI agent engineer at Sticker Mule

Builds, deploys, and manages AI agents across the organization to automate workflows, improve performance, and serve customers better.

Mid Remote Posted 1 day ago RemoteFirstJobs Product
What this role involves

Sticker Mule is building the most lucrative commerce platform on the Internet by combining software, manufacturing, and AI in one stack.

We’re hiring an engineer to build, run and manage a team of AI agents to help us innovate faster, improve performance, and better serve customers.

Work performed

  • Identify where agents can help and build them accordingly.

  • Work with department leads to assess AI needs.

  • Help connect agents to appropriate third-party and internal tools.

  • Measure results and remove agents that don’t deliver.

  • Test new tools and models as they ship and adopt what works.

  • Advise others on AI capabilities to help them perform.

Requirements

  • Experience building agents that run on their own and do meaningful work

  • Strong with Grok, Claude, OpenAI, and open source

  • Comfortable in Go, TypeScript, GraphQL, Postgres, GCP

  • Writes clearly in English

Compensation

  1. Salary: $150,000–$250,000 USD

  2. $20,000 signing bonus

  3. 4 weeks vacation + country-specific holidays

  4. Fully remote

Read the full description
Operator AI agent engineer at Sticker Mule

Builds, deploys, and manages AI agents across the business to automate workflows, improve performance, and serve customers better.

Mid Remote Posted 1 day ago RemoteFirstJobs Product
What this role involves

Sticker Mule is building the most lucrative commerce platform on the Internet by combining software, manufacturing, and AI in one stack.

We’re hiring an engineer to build, run and manage a team of AI agents to help us innovate faster, improve performance, and better serve customers.

Work performed

  • Identify where agents can help and build them accordingly.

  • Work with department leads to assess AI needs.

  • Help connect agents to appropriate third-party and internal tools.

  • Measure results and remove agents that don’t deliver.

  • Test new tools and models as they ship and adopt what works.

  • Advise others on AI capabilities to help them perform.

Requirements

  • Experience building agents that run on their own and do meaningful work

  • Strong with Grok, Claude, OpenAI, and open source

  • Comfortable in Go, TypeScript, GraphQL, Postgres, GCP

  • Writes clearly in English

Compensation

  1. Salary: $150,000–$250,000 USD

  2. $20,000 signing bonus

  3. 4 weeks vacation + country-specific holidays

  4. Fully remote

Read the full description
Operator AI Solutions Architect - Business Intelligence at Henry Schein One

Lead the design and implementation of AI solutions across the organization, serving as the bridge between business stakeholders, data teams, and engineers to identify AI opportunities and deliver scalable solutions.

Lead Remote Posted 3 days ago RemoteFirstJobs Product
What this role involves

Shape what’s next in dental technology.

Join Henry Schein One!

Join a global leader redefining dental practice management and do work that actually matters. At Henry Schein One, we are a team of care catalysts: people who fuel innovation, challenge the status quo, and bring an entrepreneurial mindset to everything we do. Your ideas fuel innovation that enhances patient care and drives real results for practices.

We don’t just talk about impact; we build it! Backed by a trusted reputation, our leaders foster an inclusive and supportive environment where we stay solely focused on our mission, empowering you to think boldly, collaborate creatively, and grow. We have high expectations for performance and delivering results; as part of a winning team, you’ll work hard, challenge the status quo, and bring a growth mindset. Here, your strengths are recognized, your development matters, and your wins celebrated.

We are seeking an AI Solutions Architect for our Business Intelligence team that is responsible for advanced data pipelines, data structures, transformations, and final output datasets for consumption by AI and individuals of various business functions. You will be designing, governing, and implementing AI solutions that drive business value across the organization. You serve as the bridge between business stakeholders, data teams, engineers, and executive leadership to identify opportunities for adoption of AI and deliver scalable, secure, and reliable solutions. You will lead the design of AI-enabled products and processes, ensure alignment with enterprise architecture standards, and establish best practices for responsible AI usage.

This position is remote within the United States with up to 10% travel as needed.

What You Will Do

  • Lead the Business Systems and Analytics team on advanced data projects
  • Partner with internal customers to gather end-to-end AI requirements, issues, and scope of complex projects
  • Partner with business leaders to identify and prioritize AI opportunities
  • Develop AI roadmaps aligned with organizational goals and technology strategy.
  • Evaluate emerging AI technologies, platforms, and industry trends
  • Provide guidance on responsible AI, governance, compliance, and risk management and establish architecture standards, patterns, and reference frameworks for AI initiatives
  • Design end-to-end AI architectures including data ingestion, model development, deployment, monitoring, and governance

Technical Skills

  • Data Engineering: ETL development and MySQL
  • Analytics: Descriptive and predictive analytics development, plus semantic layer design
  • Documentation: Markdown file creation with YAML headers
  • Content/Knowledge Management: OKF/Wiki design and implementation
  • Programming: Python required; HTML/CSS/JavaScript a plus

What We Are Looking For

  • 8+ years of related experience in business intelligence, data engineering or related experience
  • Excellent planning, organizational, and project management skills
  • Proven independent decision-making, analytical, and problem-solving abilities
  • Outstanding verbal and written communication skills, including presentation and public speaking
  • Ability to build and maintain partnerships and relationships at all levels
  • Consultative skills with the ability to resolve complex issues effectively
  • Excellent interpersonal, negotiation, and conflict-resolution skills, with the ability to deliver difficult messages effectively

What Will Set You Apart

  • Bachelor’s Degree in a related field
  • Working fluency within Domo, Claude and/or Cursor

The posted range for this position is $125,000 - $165,000, which is the expected starting salary range for an employee who is new to the role to fully proficient in the role. Many factors go into determining employee pay within the posted range including prior experience, current skills, location/labor market, internal equity, etc.This position is eligible for a bonus target not reflected in the range.

What You’ll Gain as a #TeamSchein Member

A robust benefits package including health coverage, retirement savings with company match, paid time off, parental leave, wellbeing resources, education support, and MORE!

Henry Schein, Inc. is an Equal Employment Opportunity Employer and does not discriminate against applicants or employees on the basis of race, color, religion, creed, national origin, ancestry, disability that can be reasonably accommodated without undue hardship, sex, sexual orientation, gender identity, age, citizenship, marital or veteran status, or any other legally protected status.

Unfortunately, Henry Schein One is not currently hiring individuals residing in Delaware, Hawaii, North Dakota, Rhode Island, Vermont, Puerto Rico, and other US territories.

Read the full description
Operator AI Solutions Architect - Business Intelligence at Henry Schein One

Leads AI solutions architecture and implementation across the organization, designing end-to-end AI systems, establishing governance standards, and partnering with stakeholders to identify and prioritize AI opportunities.

Lead Remote Posted 3 days ago RemoteFirstJobs Product
What this role involves

Shape what’s next in dental technology.

Join Henry Schein One!

Join a global leader redefining dental practice management and do work that actually matters. At Henry Schein One, we are a team of care catalysts: people who fuel innovation, challenge the status quo, and bring an entrepreneurial mindset to everything we do. Your ideas fuel innovation that enhances patient care and drives real results for practices.

We don’t just talk about impact; we build it! Backed by a trusted reputation, our leaders foster an inclusive and supportive environment where we stay solely focused on our mission, empowering you to think boldly, collaborate creatively, and grow. We have high expectations for performance and delivering results; as part of a winning team, you’ll work hard, challenge the status quo, and bring a growth mindset. Here, your strengths are recognized, your development matters, and your wins celebrated.

We are seeking an AI Solutions Architect for our Business Intelligence team that is responsible for advanced data pipelines, data structures, transformations, and final output datasets for consumption by AI and individuals of various business functions. You will be designing, governing, and implementing AI solutions that drive business value across the organization. You serve as the bridge between business stakeholders, data teams, engineers, and executive leadership to identify opportunities for adoption of AI and deliver scalable, secure, and reliable solutions. You will lead the design of AI-enabled products and processes, ensure alignment with enterprise architecture standards, and establish best practices for responsible AI usage.

This position is remote within the United States with up to 10% travel as needed.

What You Will Do

  • Lead the Business Systems and Analytics team on advanced data projects
  • Partner with internal customers to gather end-to-end AI requirements, issues, and scope of complex projects
  • Partner with business leaders to identify and prioritize AI opportunities
  • Develop AI roadmaps aligned with organizational goals and technology strategy.
  • Evaluate emerging AI technologies, platforms, and industry trends
  • Provide guidance on responsible AI, governance, compliance, and risk management and establish architecture standards, patterns, and reference frameworks for AI initiatives
  • Design end-to-end AI architectures including data ingestion, model development, deployment, monitoring, and governance

Technical Skills

  • Data Engineering: ETL development and MySQL
  • Analytics: Descriptive and predictive analytics development, plus semantic layer design
  • Documentation: Markdown file creation with YAML headers
  • Content/Knowledge Management: OKF/Wiki design and implementation
  • Programming: Python required; HTML/CSS/JavaScript a plus

What We Are Looking For

  • 8+ years of related experience in business intelligence, data engineering or related experience
  • Excellent planning, organizational, and project management skills
  • Proven independent decision-making, analytical, and problem-solving abilities
  • Outstanding verbal and written communication skills, including presentation and public speaking
  • Ability to build and maintain partnerships and relationships at all levels
  • Consultative skills with the ability to resolve complex issues effectively
  • Excellent interpersonal, negotiation, and conflict-resolution skills, with the ability to deliver difficult messages effectively

What Will Set You Apart

  • Bachelor’s Degree in a related field
  • Working fluency within Domo, Claude and/or Cursor

The posted range for this position is $125,000 - $165,000, which is the expected starting salary range for an employee who is new to the role to fully proficient in the role. Many factors go into determining employee pay within the posted range including prior experience, current skills, location/labor market, internal equity, etc.This position is eligible for a bonus target not reflected in the range.

What You’ll Gain as a #TeamSchein Member

A robust benefits package including health coverage, retirement savings with company match, paid time off, parental leave, wellbeing resources, education support, and MORE!

Henry Schein, Inc. is an Equal Employment Opportunity Employer and does not discriminate against applicants or employees on the basis of race, color, religion, creed, national origin, ancestry, disability that can be reasonably accommodated without undue hardship, sex, sexual orientation, gender identity, age, citizenship, marital or veteran status, or any other legally protected status.

Unfortunately, Henry Schein One is not currently hiring individuals residing in Delaware, Hawaii, North Dakota, Rhode Island, Vermont, Puerto Rico, and other US territories.

Read the full description
Operator GTM AI Operations - India at JumpCloud

Designs and deploys AI-powered outbound workflows across GTM systems to automate prospecting, enrichment, and engagement while improving pipeline generation and seller productivity.

Mid Remote Posted 4 days ago RemoteFirstJobs Product
What this role involves

All roles at JumpCloud® are Remote unless otherwise specified in the Job Description.

About JumpCloud®

JumpCloud® is the AI-powered unified IT management platform designed to secure the modern workforce. By consolidating identity, device, and access management, JumpCloud provides intelligent, secure IT that scales from human users to autonomous AI agents. We help organizations around the globe eliminate complexity and turn AI risk into an optimized advantage, ensuring the right people and agents have secure access to the right resources at all times.

JumpCloud is Intelligent, Secure IT.

What You’ll Be Doing:

Reporting to the Sr. Director of Marketing Operations, this role will focus on designing, building, and operationalizing agentic outbound systems that improve pipeline generation efficiency and seller productivity.

Core Objectives:

Build Agentic Outbound Systems

  • Design and deploy AI outbound workflows that automate account sourcing, contact acquisition, research, prioritization, personalization, sequencing, and engagement orchestration.

Operationalize AI at Scale

  • Move beyond isolated AI experiments by building repeatable, production-ready workflows that integrate across Salesforce, Marketo, Clay, sequencing platforms, enrichment providers, and engagement tools.

Improve Outbound Efficiency

  • Reduce manual BDR work through automation while increasing outbound quality, targeting precision, personalization, and activity scalability.

Accelerate Pipeline Generation

  • Support the evolution of JumpCloud’s outbound programs through AI targeting, signal-based prioritization, automated enrichment, and intelligent workflow orchestration.

Ship Fast and Iterate

  • Rapidly prototype, deploy, measure, and improve GTM workflows with a strong bias toward execution and measurable business impact.

We’re Looking For:

A highly technical GTM operator who enjoys building systems, automations, and workflows that solve real revenue problems. This person thrives in fast-moving environments, is comfortable working across both strategy and execution, and prefers shipping solutions over discussing hypotheticals.

Success in this role is measured by deployed workflows and operational improvements that increase outbound efficiency, pipeline generation, or seller productivity.

Required Qualifications:

GTM Systems & Operations

  • Hands-on experience working within modern GTM systems including Salesforce, Marketo, Gong Engage, enrichment providers, and outbound engagement platforms.

  • Experience building and maintaining workflows across tools such as Clay, Openprise, Zapier, Replit, or similar orchestration platforms.

  • Strong understanding of outbound operations, lead/account flows, enrichment strategies, segmentation, and GTM data management.

  • In-depth understanding of how MCPs work and demonstrated experience applying best practices for MCP utilization and efficiency.

AI & Automation

  • Practical experience applying AI and automation to GTM workflows beyond experimentation.

  • Experience working with LLMs (preferably Claude Cowork & Code), prompt workflows, structured outputs, AI-assisted personalization, and integrating AI outputs into operational systems.

  • Familiarity with APIs, automation logic, webhooks, and lightweight scripting to connect systems and automate processes.

  • Understanding of concepts such as agentic workflows, signal-based automation, RAG, embeddings, or AI orchestration frameworks is a plus.

Builder Mentality

  • Proven ability to independently build and operationalize workflows from idea → deployment → iteration.

  • Comfortable using no-code, low-code, and lightweight coding approaches to deliver solutions quickly.

  • Strong troubleshooting mindset with the ability to identify bottlenecks and improve workflow reliability at scale.

Cross-Functional Collaboration

  • Ability to partner effectively with Marketing, Sales, RevOps, and Data teams to align priorities and execute quickly.

  • Strong communication skills with the ability to explain technical concepts clearly to both technical and non-technical stakeholders.

Operating Style

  • Highly self-directed and execution-oriented with a strong bias toward action.

  • Comfortable operating in ambiguity and iterating quickly as priorities evolve.

  • Motivated by solving operational problems and building systems that create measurable business impact.

#LI-YA1

Where you’ll be working/Location:

JumpCloud is committed to being Remote First, meaning that you are able to work remotely within the country noted in the Job Description.

This role is remote in the country of India. You must be located in and authorized to work in India to be considered for this role.

Language:

JumpCloud® has teams in 15+ countries around the world and conducts our internal business in English. The interview and any additional screening process will take place primarily in English. To be considered for a role at JumpCloud®, you will be required to speak and write in English fluently.  Any additional language requirements will be included in the details of the job description.

Why JumpCloud?

If you thrive working in a fast, SaaS-based environment and you are passionate about solving challenging technical problems, we look forward to hearing from you! JumpCloud® is an incredible place to share and grow your expertise! You’ll work with amazing talent across each department who are passionate about our mission. We’re out of the box thinkers, so your unique ideas and approaches for conceiving a product and/or feature will be welcome. You’ll have a voice in the organization as you work with a seasoned executive team, a supportive board and in a proven market that our customers are excited about.

One of JumpCloud®’s three core values is to “Build Connections.” To us that means creating “ human connection with each other regardless of our backgrounds, orientations, geographies, religions, languages, gender, race, etc. We care deeply about the people that we work with and want to see everyone succeed.” - Rajat Bhargava, CEO

Please submit your résumé and brief explanation about yourself and why you would be a good fit for JumpCloud®.  Please note JumpCloud® is not accepting third party resumes at this time.

JumpCloud® is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Scam Notice:

Please be aware that there are individuals and organizations that may attempt to scam job seekers by offering fraudulent employment opportunities in the name of JumpCloud. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers. Please note that JumpCloud will never ask for any personal account information, such as credit card details or bank account numbers, during the recruitment process. Additionally, JumpCloud will never send you a check for any equipment prior to employment.

All communication related to interviews and offers from our recruiters and hiring managers will come from official company email addresses (@jumpcloud.com) and will never ask for any payment, fee to be paid or purchases to be made by the job seeker. If you are contacted by anyone claiming to represent JumpCloud and you are unsure of their authenticity, please do not provide any personal/financial information and contact us immediately at [email protected] with the subject line “Scam Notice”

#LI-Remote #BI-Remote

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, transcribing or summarizing interviews, and assessing responses. These tools assist our recruitment team but do not replace human judgment in hiring decisions, which are ultimately made by humans. Please see our Privacy Policy (https://jumpcloud.com/privacy) for more information about our personal data practices.

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Operator Solution Engineer at RelationalAI

Embeds with enterprise customers to design and deploy AI decision systems using RelationalAI's platform, working with executives and data teams to solve high-stakes business problems.

Mid Remote Posted 7 days ago RemoteFirstJobs Product
What this role involves

Who We Are

At RelationalAI, we’re solving one of the most important challenges in artificial intelligence: how to teach large language models the logic, semantics, and business context of the modern enterprise.

Frontier models are trained almost entirely on public data — they can speak about the world, but they don’t understand your business. We fix that.

RelationalAI has pioneered a breakthrough called Superalignment — technology that enables LLMs to learn natively from private, structured enterprise data inside the data cloud.

By combining this with relational knowledge graphs and our proprietary neuro/symbolic-relational reasoners, we deliver trustworthy decision intelligence: systems that use semantic models to truly understand how a business operates and can reason across its data to drive better outcomes.

We’re a globally distributed team of engineers, scientists, and builders redefining how AI learns from data. We believe that high-stakes decisions deserve frontier intelligence — intelligence that’s explainable, aligned, and grounded in reality.

If you’re driven by curiosity, thrive in complexity, and want to help build the system that brings true understanding to enterprise AI, you’ll feel right at home here.

The Role

You will be embedded inside our customers’ hardest problems, and you will own the outcome until it works in production.

You’ll sit with executives, domain experts, and data teams to find the decisions that actually move their business - inventory that’s in the wrong place, risk concentrations nobody can see, fraud patterns that only emerge across three systems, capacity plans built on guesses. Then you’ll model their world in our ontology, formulate the reasoning problem, write the PyRel, and ship something that runs against their real data in their own Snowflake account.

Every engagement here produces two deliverables.

The first is the one the customer sees: a working decision system that changes how they operate.

The second is the one that matters most to us: the pile of things you had to invent because our platform didn’t have them yet. The modelling pattern you hand-rolled. The constraint formulation that should have been a primitive. The three-hour workaround where an API should have existed. You bring those back, you argue for them, and the strongest of them become product.

That second deliverable is why this role exists. If you only ever deliver the first one, we’ve hired a consultant. We’re not hiring consultants.

You’ll operate with unusual autonomy: you decide what’s worth building, when a workaround is acceptable and when it’s technical debt we’ll regret, and when to tell a customer their real problem is not the one they asked about. You’ll be technical enough that when something breaks in a customer environment, you find the root cause yourself rather than filing a ticket and waiting.

What You’ll Do

  • Own outcomes end to end - discovery, modelling, implementation, performance tuning, production hardening, and the measurement that proves it worked. Not a handoff at each stage. Yours.
  • Build, not describe - design and ship decision solutions on our modelling, reasoning, and learning stack: ontologies over customer data, rules, graph analytics, optimisation formulations, predictive models
  • Fill the gaps yourself - when a customer workflow is blocked on something the platform doesn’t do, scope it and build it. Then push the general version upstream: read our source, form a hypothesis before you escalate, open the PR.
  • Close the loop with Product - every deployment generates a signal. Bring back reproductions, patterns, and specific failure modes (“the only way I could express this was by abusing X in this way”), not vibes. You are one of the loudest inputs into our roadmap.
  • Run technical discovery that gets to the truth - workshops, demos, and proofs of concept designed to find out whether we can actually solve the problem, not to look impressive.
  • Leave things better than you found them - document as you go, in the repo, same week. Turn one-off work into reusable reference implementations so the next person starts where you finished. No branch of yours should be diverging for a month.
  • Refuse shortcuts that compound - no undocumented config drift, no “it works now” without knowing why it broke, no restarting the service before you’ve captured the evidence.

Who You Are

You thrive in ambiguity and move with intent. You’re motivated by deep understanding and meaningful impact.

  • Owner, not participant. You take full accountability for the outcome, not your slice of it. When something is broken and it’s nobody’s job, it becomes yours.
  • You build. Your instinct in the face of a hard problem is to open an editor, not a deck. You’d rather show a working prototype on real data than a diagram of one.
  • High conviction, low ego. You argue hard for what you believe, you’re direct about what’s wrong, and you change your mind quickly when the evidence turns. You challenge ideas without making it personal - people leave arguments with you feeling sharper, not smaller.
  • Rigorous. You root-cause things. You can explain both why it broke and why your fix works. Surface symptoms don’t satisfy you.
  • Fast in unfamiliar territory. Dropped into a codebase, a domain, or a data model you’ve never seen, you’re useful within days. “I only do backend” and “that’s not my job” are phrases you don’t use.
  • High tolerance for friction. Enterprise environments are messy - broken data, VDI access, security reviews, politics. You route around it and keep shipping.
  • Impact-driven. You want the thing you built to still be running, and still be load-bearing, two years from now.

What This Role Is Not

We’d rather be blunt than waste your time:

  • It is not demo-and-handoff pre-sales. You don’t disappear after the POC; you’re there when it goes to production.
  • It is not staff augmentation. You own outcomes, not hours or ticket queues.
  • It is not advisory. We deliver working software, not recommendations.
  • It is not a support role. You deploy new things; you don’t maintain someone else’s legacy.

Qualifications

  • 5+ years building and shipping production software, at least some of it inside customer or partner environments
  • Demonstrated end-to-end ownership: you have personally taken something from an ambiguous problem statement to running in production, and you can walk us through the whole arc, including what went wrong
  • Strong SQL and deep familiarity with cloud data platforms (Snowflake, BigQuery, Databricks, Redshift)
  • Strong programming ability - Python primarily; comfort with declarative or logic-style languages is a real advantage
  • Comfortable reading unfamiliar source code, interpreting stack traces, and debugging systems you didn’t write
  • Able to hold your own with both a VP of Supply Chain and a staff data engineer, in the same meeting
  • Comfortable operating in high-autonomy, high-velocity, low-instruction environments

Preferred Qualifications

  • Built analytical, decision, or reasoning applications that reached production and stayed there
  • Experience with optimization, constraint solving, rule engines, graph algorithms, or ML on structured data
  • Semantic modelling, data pipelines, and governance in real enterprise settings
  • Track record of upstream contribution - features, tools, or abstractions you built for one customer that became standard for everyone
  • Prior experience in enterprise technology, AI, or analytics platforms

How We Hire

Our loop is designed to test the job, not trivia. Expect a technical screen; a session where you navigate and extend a system you’ve never seen before; a problem-decomposition session on a realistic customer scenario; and a conversation about ownership with the hiring manager. We’re looking for how you think when you don’t know the answer.

The Solution Engineer position offers a base salary range of $170,000 to $200,000, along with equity and comprehensive benefits. Please note that this range serves as a guideline; actual total compensation may vary based on factors such as experience, skill set, qualifications, and geographic location.

Why RelationalAI

At RelationalAI, you will:

  • Work from anywhere in the world
  • Earn competitive salary + equity
  • Enjoy open PTO, flexible schedules, and recharge weeks
  • Access global benefits, mental-health support, and learning stipends
  • Join a transparent, inclusive, and globally connected culture that values curiosity, excellence, and impact
  • Regular team offsites and global events – Building strong connections while working remotely through team offsites and global events that bring everyone together.
  • A culture of transparency & knowledge-sharing – Open communication through team standups, fireside chats, and open meetings.

Country Hiring Guidelines:

RelationalAI hires people from around the world. All of our roles are remote; however, some locations might carry specific eligibility requirements.

Because of this, understanding location & visa support helps us better prepare to onboard our colleagues.

Our People Operations team can help answer any questions about location after starting the recruitment process.

How to Apply

If you’re driven by understanding, powered by curiosity, and ready to help shape the next era of enterprise intelligence — we’d love to hear from you.

Join us and help build the reasoning layer for the modern enterprise.

Privacy Policy: EU residents applying for positions at RelationalAI can see our Privacy Policyhere.

California residents applying for positions at RelationalAI can see our Privacy Policy here

RelationalAI is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

Read the full description
Operator AI Automation Specialist at Pavago

Designs, builds, and optimizes AI-powered automation workflows using platforms like Zapier, Make, and n8n to eliminate manual work and improve operational efficiency across business departments.

Mid Remote Posted 7 days ago RemoteFirstJobs Product
What this role involves

AI Automation Specialist – Remote

AI Automation | Workflow Automation | Zapier | Make | n8n | OpenAI | Process Optimization

Position Type: Full-Time, Remote

Location: Remote (LATAM, Pakistan, South Africa, Eastern Europe Preferred)

Working Hours: U.S. Business Hours

About the Role

At Pavago, one of our clients is hiring an AI Automation Specialist to design, build, and optimize intelligent automation systems that eliminate manual work and improve operational efficiency across the business.

This is a hands-on, execution-focused role combining AI integration, workflow automation, system integrations, and process optimization. You’ll leverage modern automation platforms, APIs, and AI models to create scalable solutions that streamline operations across departments including operations, sales, marketing, HR, finance, and customer support.

If you’re passionate about AI, automation, and building systems that save time, reduce errors, and scale business operations, this role is an excellent opportunity to make a measurable impact.

What You’ll Own

Process Analysis & Automation Design

  • Analyze existing workflows and identify automation opportunities.
  • Design scalable AI-powered workflows that reduce manual effort.
  • Translate business requirements into efficient automation solutions.
  • Recommend automation strategies that improve scalability and operational efficiency.
  • Continuously identify process improvements and eliminate bottlenecks.

AI & Workflow Automation

  • Build, deploy, and maintain workflows using platforms such as:

    • Zapier
    • Make
    • n8n
    • Microsoft Power Automate
  • Integrate AI services including:

    • OpenAI (ChatGPT)
    • Claude
    • Gemini
    • Anthropic
    • Other LLM APIs
  • Develop AI-powered workflows for:

    • Content generation
    • Data processing
    • Classification
    • Summarization
    • Customer support
    • Lead management
    • Employee onboarding
    • Internal operations

Systems Integration

  • Connect business applications using APIs and webhooks.
  • Configure triggers, actions, filters, and conditional logic.
  • Ensure reliable synchronization across business systems.
  • Troubleshoot workflow failures, API errors, and integration issues.
  • Build scalable, maintainable automation architectures.

Optimization & Performance

  • Monitor workflow performance, reliability, and execution success.
  • Optimize automation speed, scalability, and maintainability.
  • Improve workflow logic using performance data and user feedback.
  • Continuously reduce manual effort through automation enhancements.

Documentation & Collaboration

  • Document workflows, integrations, logic, and system dependencies.
  • Collaborate with operations, marketing, leadership, and technical teams.
  • Communicate automation performance and business impact.
  • Train internal teams on automation processes and best practices.

Requirements

Must-Have Qualifications

Experience

  • Experience in:

    • Workflow Automation
    • Process Optimization
    • Systems Operations
    • Business Process Engineering
  • Hands-on experience with automation platforms such as:

    • Zapier
    • Make
    • n8n
    • Microsoft Power Automate
  • Experience integrating AI platforms including:

    • OpenAI
    • Claude
    • Gemini
    • Anthropic
    • Similar AI services

Technical Skills

  • Strong understanding of:

    • APIs
    • Webhooks
    • JSON
    • System integrations
  • Strong troubleshooting and analytical problem-solving skills.

  • Excellent communication and technical documentation abilities.

  • Reliable internet connection and professional remote workspace.

Nice-to-Have

  • Experience with Python or JavaScript.

  • Familiarity with:

    • Airtable
    • Google Sheets
    • Notion
    • Database-driven workflows
  • Experience integrating:

    • HubSpot
    • Salesforce
    • Other CRM platforms
  • Knowledge of prompt engineering and AI workflow optimization.

  • Experience with RPA tools such as:

    • UiPath
    • Automation Anywhere
  • Experience building AI agents, internal assistants, or operational automation systems.

Tools & Technologies

  • Zapier
  • Make
  • n8n
  • Microsoft Power Automate
  • OpenAI
  • Claude
  • Gemini
  • APIs & Webhooks
  • Google Workspace
  • Slack
  • Asana
  • ClickUp

What Makes You a Strong Fit

  • Passionate about automation and AI technologies.
  • Strong systems thinker with an operational mindset.
  • Able to transform business challenges into scalable automation solutions.
  • Comfortable collaborating with both technical and non-technical stakeholders.
  • Organized with excellent documentation habits.
  • Curious, adaptable, and continuously learning emerging AI technologies.
  • Self-driven and comfortable working independently in a remote environment.

What a Typical Day Looks Like

  • Analyze existing business workflows for automation opportunities.
  • Build and test AI-powered workflows.
  • Integrate business systems using APIs and automation platforms.
  • Troubleshoot workflow failures and optimize automation logic.
  • Monitor automation performance and system reliability.
  • Document automation processes and technical workflows.
  • Collaborate with stakeholders to implement operational improvements.

In short: You design and build AI-powered automation systems that reduce manual work, improve operational efficiency, and help the business scale.

Key Metrics for Success (KPIs)

  • Number of operational workflows successfully automated
  • Automation reliability and uptime
  • Reduction in manual tasks and operational inefficiencies
  • Accuracy and scalability of automation systems
  • Speed of implementation and optimization cycles
  • Quality of documentation and process clarity
  • Stakeholder satisfaction and measurable business impact

Why This Role Stands Out

  • Build impactful AI-powered automation systems used across the business.

  • Work with cutting-edge AI and automation technologies.

  • High ownership and autonomy over automation initiatives.

  • Opportunity to improve business operations at scale.

  • Collaborative, innovation-focused remote environment.

  • Clear career growth into:

    • Senior AI Automation Engineer
    • Automation Architect
    • AI Solutions Engineer
    • Business Systems Lead

Interview Process

  1. Initial Phone Screen
  2. Spark Hire Intro Video (3–5 minutes)
  3. Practical Assessment (Automation or Workflow Scenario)
  4. Final Client Interview
  5. Offer & Onboarding

What Happens After You Apply

Right after you apply, you’ll receive an email invitation from Spark Hire to record your Intro Video. This short, self-recorded video is the next step that completes your application and can be recorded whenever it’s convenient for you.

Instead of repeating yourself across multiple screening calls, you’ll introduce yourself once, and your video will be shared with the hiring team. This helps the hiring team evaluate your communication style early, making future interviews more meaningful while reducing unnecessary interview rounds.

Don’t overthink it—you can record your video as many times as you’d like before submitting it. Only your final submission will be reviewed.

Please keep an eye on both your inbox and spam folder for your Spark Hire invitation after submitting your application.

Apply Now

If you’re passionate about AI, automation, and building scalable systems that solve real business problems, we’d love to hear from you. Apply today and help transform manual operations into intelligent, AI-driven workflows.

Read the full description
Operator Solution Engineer at RelationalAI

Works with enterprise customers to design and deploy AI decision systems using RelationalAI's platform, modeling business problems and shipping production solutions.

Mid Remote Posted 7 days ago RemoteFirstJobs Product
What this role involves

Who We Are

At RelationalAI, we’re solving one of the most important challenges in artificial intelligence: how to teach large language models the logic, semantics, and business context of the modern enterprise.

Frontier models are trained almost entirely on public data — they can speak about the world, but they don’t understand your business. We fix that.

RelationalAI has pioneered a breakthrough called Superalignment — technology that enables LLMs to learn natively from private, structured enterprise data inside the data cloud.

By combining this with relational knowledge graphs and our proprietary neuro/symbolic-relational reasoners, we deliver trustworthy decision intelligence: systems that use semantic models to truly understand how a business operates and can reason across its data to drive better outcomes.

We’re a globally distributed team of engineers, scientists, and builders redefining how AI learns from data. We believe that high-stakes decisions deserve frontier intelligence — intelligence that’s explainable, aligned, and grounded in reality.

If you’re driven by curiosity, thrive in complexity, and want to help build the system that brings true understanding to enterprise AI, you’ll feel right at home here.

The Role

You will be embedded inside our customers’ hardest problems, and you will own the outcome until it works in production.

You’ll sit with executives, domain experts, and data teams to find the decisions that actually move their business - inventory that’s in the wrong place, risk concentrations nobody can see, fraud patterns that only emerge across three systems, capacity plans built on guesses. Then you’ll model their world in our ontology, formulate the reasoning problem, write the PyRel, and ship something that runs against their real data in their own Snowflake account.

Every engagement here produces two deliverables.

The first is the one the customer sees: a working decision system that changes how they operate.

The second is the one that matters most to us: the pile of things you had to invent because our platform didn’t have them yet. The modelling pattern you hand-rolled. The constraint formulation that should have been a primitive. The three-hour workaround where an API should have existed. You bring those back, you argue for them, and the strongest of them become product.

That second deliverable is why this role exists. If you only ever deliver the first one, we’ve hired a consultant. We’re not hiring consultants.

You’ll operate with unusual autonomy: you decide what’s worth building, when a workaround is acceptable and when it’s technical debt we’ll regret, and when to tell a customer their real problem is not the one they asked about. You’ll be technical enough that when something breaks in a customer environment, you find the root cause yourself rather than filing a ticket and waiting.

What You’ll Do

  • Own outcomes end to end - discovery, modelling, implementation, performance tuning, production hardening, and the measurement that proves it worked. Not a handoff at each stage. Yours.
  • Build, not describe - design and ship decision solutions on our modelling, reasoning, and learning stack: ontologies over customer data, rules, graph analytics, optimisation formulations, predictive models
  • Fill the gaps yourself - when a customer workflow is blocked on something the platform doesn’t do, scope it and build it. Then push the general version upstream: read our source, form a hypothesis before you escalate, open the PR.
  • Close the loop with Product - every deployment generates a signal. Bring back reproductions, patterns, and specific failure modes (“the only way I could express this was by abusing X in this way”), not vibes. You are one of the loudest inputs into our roadmap.
  • Run technical discovery that gets to the truth - workshops, demos, and proofs of concept designed to find out whether we can actually solve the problem, not to look impressive.
  • Leave things better than you found them - document as you go, in the repo, same week. Turn one-off work into reusable reference implementations so the next person starts where you finished. No branch of yours should be diverging for a month.
  • Refuse shortcuts that compound - no undocumented config drift, no “it works now” without knowing why it broke, no restarting the service before you’ve captured the evidence.

Who You Are

You thrive in ambiguity and move with intent. You’re motivated by deep understanding and meaningful impact.

  • Owner, not participant. You take full accountability for the outcome, not your slice of it. When something is broken and it’s nobody’s job, it becomes yours.
  • You build. Your instinct in the face of a hard problem is to open an editor, not a deck. You’d rather show a working prototype on real data than a diagram of one.
  • High conviction, low ego. You argue hard for what you believe, you’re direct about what’s wrong, and you change your mind quickly when the evidence turns. You challenge ideas without making it personal - people leave arguments with you feeling sharper, not smaller.
  • Rigorous. You root-cause things. You can explain both why it broke and why your fix works. Surface symptoms don’t satisfy you.
  • Fast in unfamiliar territory. Dropped into a codebase, a domain, or a data model you’ve never seen, you’re useful within days. “I only do backend” and “that’s not my job” are phrases you don’t use.
  • High tolerance for friction. Enterprise environments are messy - broken data, VDI access, security reviews, politics. You route around it and keep shipping.
  • Impact-driven. You want the thing you built to still be running, and still be load-bearing, two years from now.

What This Role Is Not

We’d rather be blunt than waste your time:

  • It is not demo-and-handoff pre-sales. You don’t disappear after the POC; you’re there when it goes to production.
  • It is not staff augmentation. You own outcomes, not hours or ticket queues.
  • It is not advisory. We deliver working software, not recommendations.
  • It is not a support role. You deploy new things; you don’t maintain someone else’s legacy.

Qualifications

  • 5+ years building and shipping production software, at least some of it inside customer or partner environments
  • Demonstrated end-to-end ownership: you have personally taken something from an ambiguous problem statement to running in production, and you can walk us through the whole arc, including what went wrong
  • Strong SQL and deep familiarity with cloud data platforms (Snowflake, BigQuery, Databricks, Redshift)
  • Strong programming ability - Python primarily; comfort with declarative or logic-style languages is a real advantage
  • Comfortable reading unfamiliar source code, interpreting stack traces, and debugging systems you didn’t write
  • Able to hold your own with both a VP of Supply Chain and a staff data engineer, in the same meeting
  • Comfortable operating in high-autonomy, high-velocity, low-instruction environments

Preferred Qualifications

  • Built analytical, decision, or reasoning applications that reached production and stayed there
  • Experience with optimization, constraint solving, rule engines, graph algorithms, or ML on structured data
  • Semantic modelling, data pipelines, and governance in real enterprise settings
  • Track record of upstream contribution - features, tools, or abstractions you built for one customer that became standard for everyone
  • Prior experience in enterprise technology, AI, or analytics platforms

How We Hire

Our loop is designed to test the job, not trivia. Expect a technical screen; a session where you navigate and extend a system you’ve never seen before; a problem-decomposition session on a realistic customer scenario; and a conversation about ownership with the hiring manager. We’re looking for how you think when you don’t know the answer.

The Solution Engineer position offers a base salary range of $170,000 to $200,000, along with equity and comprehensive benefits. Please note that this range serves as a guideline; actual total compensation may vary based on factors such as experience, skill set, qualifications, and geographic location.

Why RelationalAI

At RelationalAI, you will:

  • Work from anywhere in the world
  • Earn competitive salary + equity
  • Enjoy open PTO, flexible schedules, and recharge weeks
  • Access global benefits, mental-health support, and learning stipends
  • Join a transparent, inclusive, and globally connected culture that values curiosity, excellence, and impact
  • Regular team offsites and global events – Building strong connections while working remotely through team offsites and global events that bring everyone together.
  • A culture of transparency & knowledge-sharing – Open communication through team standups, fireside chats, and open meetings.

Country Hiring Guidelines:

RelationalAI hires people from around the world. All of our roles are remote; however, some locations might carry specific eligibility requirements.

Because of this, understanding location & visa support helps us better prepare to onboard our colleagues.

Our People Operations team can help answer any questions about location after starting the recruitment process.

How to Apply

If you’re driven by understanding, powered by curiosity, and ready to help shape the next era of enterprise intelligence — we’d love to hear from you.

Join us and help build the reasoning layer for the modern enterprise.

Privacy Policy: EU residents applying for positions at RelationalAI can see our Privacy Policyhere.

California residents applying for positions at RelationalAI can see our Privacy Policy here

RelationalAI is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

Read the full description
Operator Senior Financial Analyst, FP&A (AI First) at Unbounce

Builds and operates AI-driven FP&A workflows, automating recurring financial analysis and reporting while validating AI outputs for accuracy.

Senior Remote Posted 9 days ago RemoteFirstJobs Product
What this role involves

Senior Financial Analyst, FP&A (AI First)

Department: Operations

Location: Remote, Canada or US

Position Type: Full-Time, Permanent

Hours: Monday-Friday, 9AM-5PM (in your time zone)

About the Role

Unbounce is looking for a Senior Financial Analyst, FP&A (AI First) to join our FP&A team. You’ll run our budgeting and forecasting cycles, prepare monthly reporting, support the accounting team through month-end close, and partner with teams across the business to answer financial questions.

This is an AI-native role: the outputs are familiar (an annual budget, a rolling forecast, a monthly reporting package, board metrics), but you will spend a meaningful share of your time building the systems that produce them rather than producing them by hand. Every employee at Unbounce has Claude, and our billing and accounting stack was rebuilt this year on Recurly and Rillet, so the data layer underneath you is new rather than inherited.

Concretely, when a recurring analysis takes four hours by hand, we expect your instinct to be to build the thing that does it in four minutes next month, and then to be the person who can tell whether its answer is right. The second half matters more than the first. Automation without judgment is worse than no automation, and this role owns both.

We’re after someone dependable and detail-oriented who communicates clearly and whose first instinct on a repetitive task is to automate it. You don’t need to have done every item on this list. If you’re strong in most areas and willing to learn the rest, we’d like to hear from you.

What You’ll Be Doing

Build and operate AI-driven finance workflows

  • Design, build and maintain the AI agents and automated workflows that carry the recurring FP&A load: variance analysis, first-pass commentary, cohort and retention analysis, board metric refreshes, and the routine data pulls underneath all of them.
  • Use AI as a default part of your workflow, across analysis, modeling, reporting, and commentary, within our team practices and data-handling guidelines.
  • Use Claude, which every employee here already has, to speed up analysis, automate recurring reporting, draft first-pass variance commentary, and pressure-test your own assumptions before numbers go out.
  • Build the context these agents need in order to be reliable: metric definitions, documented data lineage from source system to report, and explicit rules for how each number is constructed. An agent is only as good as the context it can reach.
  • Decide what should and should not be automated. Draw and defend the line between work an agent runs unsupervised, work an agent drafts for human review, and work that stays fully manual.
  • Own the finance team’s shared library of agents, prompts, skills and calculation templates. Treat it as a deliverable in its own right, versioned and documented, so that it keeps producing when you are on vacation.
  • Own what the tools produce, review AI-assisted work to the same standard as your own, and know when a question needs judgment instead. Build the checks in: validation against source, reconciliation, and a review step that catches a wrong answer before it reaches leadership or the board.
  • Raise the ceiling for the people around you. Some of your highest-leverage work will be enabling your business partners to answer their own questions rather than producing the analysis yourself.

Planning and forecasting

  • Prepare Own the annual budget and quarterly/monthly forecast updates, gathering inputs from department leaders.
  • Maintain the company’s financial model (revenue, expenses, headcount, and cash) and keep the key assumptions up to date. Structure it so that running a new scenario is a configuration change, not a rebuild.
  • Run scenario analysis to help leadership weigh decisions, using AI to build and iterate on cases faster than a manual model rebuild allows, fast enough to be useful in the meeting where the decision is actually being made.

Reporting

  • Own the monthly reporting package: actuals versus budget and forecast, variance analysis, and commentary. AI-drafted first pass, then edited and owned by you.
  • Help prepare materials for leadership and board meetings, including our key metrics and dashboards.
  • Work with the accounting team during month-end close to make sure results are accurate and on time.

Metrics and analysis

  • Own our core SaaS metrics (ARR/MRR, net and gross revenue retention, churn, CAC, and LTV) and keep the definitions consistent.
  • Look at customer, product, and segment profitability and take the findings to the people who can act on them.
  • Build and maintain reports in our BI tools so teams can see the numbers they need, and so that analysts, dashboards and agents all draw on one trusted source rather than several competing ones.

Working with the business

  • Be the finance point of contact for Sales, Marketing, Product, and G&A, helping them manage budgets and understand spend.
  • Partner with Data and Analytics to scope reporting needs, so what we build answers the right questions.
  • Help evaluate the costs and benefits of proposed projects and investments.
  • Handle ad-hoc analysis requests as they come up.

A Little Bit About You

  • A reliable instinct for when a machine-generated answer is wrong. This is a very important qualification for this role.
  • Structured thinking: you can break a vague business question into defined, verifiable steps, which is the same skill that makes an agent work.
  • Demonstrated use of AI tools in real finance work. You can walk us through something you automated or accelerated, and how you checked the output.
  • Experience building AI-assisted workflows: prompt-based reporting, scripting, or connecting AI tools to finance data sources.
  • 3–5+ years of experience in FP&A, corporate finance, or a similar analytical finance role. We weight demonstrated ability to build with AI as heavily as two additional years of conventional experience.
  • Experience at a SaaS or subscription business, or willingness to get up to speed on the model.
  • A good understanding of common SaaS metrics (ARR, retention, churn, CAC, LTV) and what drives them.
  • Solid financial modeling and Excel/Google Sheets skills. Excel and Google Sheets are output formats here rather than the core skill; the core skill is breaking a FP&A question down precisely enough that an agent can run it reliably and repeatably.
  • A working knowledge of the three financial statements and subscription revenue recognition.
  • The ability to explain financial results clearly to people outside of finance.
  • Comfort with ERP, planning, and BI tools (e.g. NetSuite, Cube, QuickSight, or similar).
  • An understanding of how finance and business systems fit together and how data moves between them, and the ability to scope reporting needs with Data teams.
  • A willingness to work in the open, documenting what you build so that someone else can run it.
  • A Bachelor’s degree in Finance, Accounting, Economics, or a related field.

Nice to Have

  • Experience partnering with Sales or RevOps on pipeline, quota, or go-to-market planning.
  • Exposure to headcount and workforce planning alongside the People team.
  • SQL or comfort working with larger datasets.
  • MBA, CFA, or CPA.

Our Stack

  • Every employee has a Claude account. Recurly for billing and Rillet for accounting, both implemented this year. QuickSight for business intelligence.

Share Our Values

  • Customer First
  • Bias for Action
  • High Velocity Decision Making
  • Inclusion
  • Results Focused

Compensation

Our compensation bands are designed to reflect how people grow in their roles. Each level includes three stages: Developing, Proficient and Expert, which represent increasing capability, independence and impact over time.

The compensation range for this role is $95,000 to $110,000 CAD which reflects the Proficient stage of our compensation band for this job level (P3). For United States based applicants, the compensation range for this role is $100,000 to $120,000 USD.

Progression into higher stages and job levels may occur over time based on demonstrated performance, mastery of role expectations and overall impact. For specialized or hard-to-fill roles, we may extend offers above the posted range if a candidate brings exceptional experience.

Perks & Benefits

Flexibility and Time Off

  • Flexible Time Off Policy - We encourage a minimum of 4 weeks per year!
  • Remote First Team
  • Flexible Hours
  • Work From Anywhere Program

Health and Wellness

  • Health Insurance
  • Employee Assistance Program (EAP)
  • Quarterly Company Wide Recharge Days
  • End of Year Company Wide Holiday Closure
  • Maternity & Parental Leave Program
  • $2000 Lifestyle Spending Account (LSA)

Growth & Future

  • Professional Development Budget
  • Volunteer Day
  • Team Building Budget
  • Employee Referral Bonus Program ($1000)
  • Anniversary Milestone LSA Top Up
  • Birthday Day Off

We Value Individuality!

At Unbounce, we want every employee to be excited to bring their full, authentic self to work. When you bring your unique experiences, background, knowledge, perspective, and self-expression while embracing the same from others we learn from each other. We innovate and co-create an environment where team members can do the best work of their careers. We’re bolder and more brilliant together.

We’re dedicated to ensuring each team member feels a sense of belonging, feels safe, cared for, respected and valued for who they are, and trusts that their unique voice is heard, embraced, and meaningfully contributes to decision-making. We’re committed to equitable employee experience, opportunity, pay and support for every employee regardless of gender identity or expression, race, ethnicity, family or marital status, religion, socio-economic status, veteran status, national origin, age, sexual orientation, education, disability, or any other characteristic that makes you unique.

We have no tolerance for sexism, racism, xenophobia, homophobia, transphobia, ableism, ageism, or any other forms of hateful/harmful discrimination and we’re taking action against unequal pay in our community through leading the #PayUpforProgress movement.

If you require any accommodations or support during the recruitment process, please email us at careers@unbounce.com.

Our use of AI in hiring

We’re committed to keeping hiring personal. Every application is reviewed by a real person on our team, and we don’t use AI to screen or filter candidates out.

We do use AI to help with assessing candidates and summarizing interview feedback. These tools support our team in working more efficiently and reducing bias. All final hiring decisions are made by people who bring their judgment and experience to determine who joins our team.

Read the full description
Operator T-CPT-11483 GoHighLevel (GHL) Technical Virtual Assistant at 20four7VA

Manages and configures GoHighLevel workflows, automations, integrations, and systems to optimize client business operations and efficiency.

Senior Remote Posted 10 days ago RemoteFirstJobs Product
What this role involves

APPLICATION INSTRUCTIONS: If you’ve already completed the 20four7VA Recruiting Process—including the Final Interview—or have previously been contracted by a 20four7VA Client, please make sure to apply via the 20four7VA Team Portal for faster processing.

Log in using your 20four7VA-issued email address to access the portal.

If you’ve just logged in to the Team Portal, please proceed to review the Independent Contractor Opportunity outlined below.

💡 Quick Tip: Upload your resume first—this will automatically populate most of the fields in the application form. Let the magic happen!

If you’re interested in this opportunity, click APPLY TO POSITION to proceed.

\*\*\******************************************************************

Title: T-CPT-11483 GoHighLevel (GHL) Technical Virtual Assistant

Independent Contractor – T-CPT-11483 GoHighLevel (GHL) Technical Virtual Assistant/Technical VA/Senior Level (Remote).

Overview

20four7VA is seeking offshore independent contractors to deliver remote services to clients worldwide, with a primary focus on developed markets such as the United States, the United Kingdom, Canada, and Australia.

A veteran-owned small business is seeking an experienced GoHighLevel Technical Virtual Assistant to manage, improve, and maintain GHL systems supporting several digital businesses.

The client already has approximately two years of experience using GoHighLevel and has existing websites, workflows, integrations, and systems in place. The immediate need is for someone with strong hands-on GHL expertise who can take the client’s direction and independently execute the technical setup within the platform.

The VA will primarily work on GHL workflows, automations, pipelines, integrations, and website management while helping ensure the client’s connected systems continue operating correctly.

The objective of each engagement is to assist the client in improving business efficiency, enhancing service delivery, or supporting operational functions through high-quality, task-specific services rendered by a qualified contractor.

Scope of Services

Contractors will be required to provide services that align with the following client tasks:

GHL Workflows & Automation

  • Build, edit, test, and maintain GoHighLevel workflows
  • Create and manage pipelines and opportunity stages
  • Configure automation triggers, actions, and follow-up sequences
  • Troubleshoot workflows that are not functioning as intended
  • Test automations before implementation
  • Monitor existing workflows and make necessary improvements
  • Help ensure contacts entering GHL trigger the correct automated processes

GHL System & Integration Support

  • Maintain and organize existing GHL accounts and assets
  • Support integrations between GHL and the client’s other applications
  • Test incoming data and automation triggers
  • Troubleshoot basic integration or data-flow issues
  • Assist with forms, contact management, email templates, and other GHL functionality
  • Recommend practical improvements based on GHL capabilities

Website Management

  • Maintain and update websites built using GoHighLevel
  • Edit pages, content, forms, links, and other website elements
  • Create or modify basic GHL website pages as needed
  • Ensure website forms and other elements connect properly to GHL workflows
  • Troubleshoot basic website issues within the GHL environment

Technical & Project Support

  • Manage assigned tasks through ClickUp
  • Document completed changes and technical configurations
  • Communicate clearly regarding technical limitations or recommended solutions
  • Test completed work before marking tasks complete
  • Assist with ongoing GHL monitoring and maintenance as needed

Each engagement is based on a defined scope of work and is governed by an independent contractor agreement. Services must be performed professionally, with adherence to any timelines, guidelines, and deliverables agreed upon in writing.

Skills

The Contractor must demonstrate proficiency in the following, depending on the Client’s requirements:

  • Hands-on GoHighLevel experience required/ expert
  • Experience building GHL workflows and automations required
  • Experience creating and managing GHL pipelines required
  • Experience with GHL websites, forms, and related assets strongly preferred
  • Experience troubleshooting GHL workflows and integrations strongly preferred
  • Experience with CRM integrations and data flows preferred
  • Strong technical troubleshooting skills
  • Strong attention to detail
  • Ability to communicate technical information clearly
  • ClickUp experience preferred

IDEAL CANDIDATE PROFILE

  • Highly proficient in GoHighLevel
  • Strong understanding of workflows, automations, and pipelines
  • Able to take a business requirement and translate it into a functional GHL setup
  • Comfortable troubleshooting existing configurations
  • Technically minded and detail-oriented
  • Able to work independently without extensive micromanagement
  • Comfortable making practical recommendations within GHL
  • Strong problem-solving and testing habits
  • Organized when managing multiple technical tasks

APPLICATION SOFTWARE KNOWLEDGEABLE / REQUIRED

  • GoHighLevel – Required
  • ClickUp – Preferred
  • Google Workspace
  • CRM / Integration Tools
  • AI Tools – Familiarity Preferred

Work Schedule

  • Contracted Hours per Week: 10 Hours
  • Scheduled Working Days: Monday through Friday (unless otherwise mutually agreed in writing)
  • Daily Working Time: Flexible – TBD

Note: The Company will make reasonable efforts to align the Assigned VA’s schedule with the Client’s preferred hours as set forth above. However, availability may vary based on time zones, capacity, and the contracted hours set in this SOW. Any changes must be mutually agreed to in writing through a revised SOW.

Terms of Engagement

  • Contractors will operate under a Master Services Agreement and a Statement of Work
  • This is not an offer of employment; contractors are not employees of 20four7VA or any client
  • All compensation is processed through 20four7VA according to the terms of the engagement

Role Summary & Requirements

  • REQUIRED SERVICE: Technical VA
  • REQUESTED EXPERIENCE TIER LEVEL: Senior Level
  • Contracted Hours per Week: 10 hours/week
  • Daily Working Time: Flexible – TBD
  • Scheduled Working Days: Monday-Friday
  • REPORTING TO/POC: To Be Determined
  • Number of VAs: 1
  • GENDER PREFERENCE: None
  • LANGUAGES SPOKEN/PREFERENCE: English
  • ACCENT PREFERENCE: Level A-C (Strong English Communication Required)
  • REGION PREFERENCES: Any

What we offer

  • Competitive rates
  • Weekly payments
  • Various open roles are available
  • Free training and upskilling
  • Constant support and guidance
  • A vibrant community always ready to support you
  • And more!
Read the full description
Operator T-CPT-11483 GoHighLevel (GHL) Technical Virtual Assistant at 20four7VA

Manages and maintains GoHighLevel platform systems, builds workflows and automations, configures integrations, and troubleshoots technical issues for client digital businesses.

Senior Remote Posted 10 days ago RemoteFirstJobs Product
What this role involves

APPLICATION INSTRUCTIONS: If you’ve already completed the 20four7VA Recruiting Process—including the Final Interview—or have previously been contracted by a 20four7VA Client, please make sure to apply via the 20four7VA Team Portal for faster processing.

Log in using your 20four7VA-issued email address to access the portal.

If you’ve just logged in to the Team Portal, please proceed to review the Independent Contractor Opportunity outlined below.

💡 Quick Tip: Upload your resume first—this will automatically populate most of the fields in the application form. Let the magic happen!

If you’re interested in this opportunity, click APPLY TO POSITION to proceed.

\*\*\******************************************************************

Title: T-CPT-11483 GoHighLevel (GHL) Technical Virtual Assistant

Independent Contractor – T-CPT-11483 GoHighLevel (GHL) Technical Virtual Assistant/Technical VA/Senior Level (Remote).

Overview

20four7VA is seeking offshore independent contractors to deliver remote services to clients worldwide, with a primary focus on developed markets such as the United States, the United Kingdom, Canada, and Australia.

A veteran-owned small business is seeking an experienced GoHighLevel Technical Virtual Assistant to manage, improve, and maintain GHL systems supporting several digital businesses.

The client already has approximately two years of experience using GoHighLevel and has existing websites, workflows, integrations, and systems in place. The immediate need is for someone with strong hands-on GHL expertise who can take the client’s direction and independently execute the technical setup within the platform.

The VA will primarily work on GHL workflows, automations, pipelines, integrations, and website management while helping ensure the client’s connected systems continue operating correctly.

The objective of each engagement is to assist the client in improving business efficiency, enhancing service delivery, or supporting operational functions through high-quality, task-specific services rendered by a qualified contractor.

Scope of Services

Contractors will be required to provide services that align with the following client tasks:

GHL Workflows & Automation

  • Build, edit, test, and maintain GoHighLevel workflows
  • Create and manage pipelines and opportunity stages
  • Configure automation triggers, actions, and follow-up sequences
  • Troubleshoot workflows that are not functioning as intended
  • Test automations before implementation
  • Monitor existing workflows and make necessary improvements
  • Help ensure contacts entering GHL trigger the correct automated processes

GHL System & Integration Support

  • Maintain and organize existing GHL accounts and assets
  • Support integrations between GHL and the client’s other applications
  • Test incoming data and automation triggers
  • Troubleshoot basic integration or data-flow issues
  • Assist with forms, contact management, email templates, and other GHL functionality
  • Recommend practical improvements based on GHL capabilities

Website Management

  • Maintain and update websites built using GoHighLevel
  • Edit pages, content, forms, links, and other website elements
  • Create or modify basic GHL website pages as needed
  • Ensure website forms and other elements connect properly to GHL workflows
  • Troubleshoot basic website issues within the GHL environment

Technical & Project Support

  • Manage assigned tasks through ClickUp
  • Document completed changes and technical configurations
  • Communicate clearly regarding technical limitations or recommended solutions
  • Test completed work before marking tasks complete
  • Assist with ongoing GHL monitoring and maintenance as needed

Each engagement is based on a defined scope of work and is governed by an independent contractor agreement. Services must be performed professionally, with adherence to any timelines, guidelines, and deliverables agreed upon in writing.

Skills

The Contractor must demonstrate proficiency in the following, depending on the Client’s requirements:

  • Hands-on GoHighLevel experience required/ expert
  • Experience building GHL workflows and automations required
  • Experience creating and managing GHL pipelines required
  • Experience with GHL websites, forms, and related assets strongly preferred
  • Experience troubleshooting GHL workflows and integrations strongly preferred
  • Experience with CRM integrations and data flows preferred
  • Strong technical troubleshooting skills
  • Strong attention to detail
  • Ability to communicate technical information clearly
  • ClickUp experience preferred

IDEAL CANDIDATE PROFILE

  • Highly proficient in GoHighLevel
  • Strong understanding of workflows, automations, and pipelines
  • Able to take a business requirement and translate it into a functional GHL setup
  • Comfortable troubleshooting existing configurations
  • Technically minded and detail-oriented
  • Able to work independently without extensive micromanagement
  • Comfortable making practical recommendations within GHL
  • Strong problem-solving and testing habits
  • Organized when managing multiple technical tasks

APPLICATION SOFTWARE KNOWLEDGEABLE / REQUIRED

  • GoHighLevel – Required
  • ClickUp – Preferred
  • Google Workspace
  • CRM / Integration Tools
  • AI Tools – Familiarity Preferred

Work Schedule

  • Contracted Hours per Week: 10 Hours
  • Scheduled Working Days: Monday through Friday (unless otherwise mutually agreed in writing)
  • Daily Working Time: Flexible – TBD

Note: The Company will make reasonable efforts to align the Assigned VA’s schedule with the Client’s preferred hours as set forth above. However, availability may vary based on time zones, capacity, and the contracted hours set in this SOW. Any changes must be mutually agreed to in writing through a revised SOW.

Terms of Engagement

  • Contractors will operate under a Master Services Agreement and a Statement of Work
  • This is not an offer of employment; contractors are not employees of 20four7VA or any client
  • All compensation is processed through 20four7VA according to the terms of the engagement

Role Summary & Requirements

  • REQUIRED SERVICE: Technical VA
  • REQUESTED EXPERIENCE TIER LEVEL: Senior Level
  • Contracted Hours per Week: 10 hours/week
  • Daily Working Time: Flexible – TBD
  • Scheduled Working Days: Monday-Friday
  • REPORTING TO/POC: To Be Determined
  • Number of VAs: 1
  • GENDER PREFERENCE: None
  • LANGUAGES SPOKEN/PREFERENCE: English
  • ACCENT PREFERENCE: Level A-C (Strong English Communication Required)
  • REGION PREFERENCES: Any

What we offer

  • Competitive rates
  • Weekly payments
  • Various open roles are available
  • Free training and upskilling
  • Constant support and guidance
  • A vibrant community always ready to support you
  • And more!
Read the full description
Operator Senior Architect, Anthropic Enablement at Nimble Gravity

Lead technical pre-sales and enablement for Claude AI implementations, configuring agentic workflows, delivering demos, and designing hands-on training for enterprise engineering teams.

Senior Remote Posted 11 days ago RemoteFirstJobs Product
What this role involves

Senior Architect, Anthropic Enablement

Remote | US

At Nimble Gravity, we help organizations turn data, AI, and technology into measurable business results. This role sits at the technical core of our Anthropic practice — leading the conversations, demos, and delivery sessions that show clients exactly what Claude Code and Claude Cowork can do, and where the next phase of work lives.

You’ll be the person in the room — often the only Nimble Gravity person in the room — with 20+ engineers or advanced knowledge workers who expect real answers, not a script. You’ll also be in the room earlier than that: on discovery calls and technical scoping sessions, helping prospects understand what’s possible before they’ve signed anything. This is a build-and-teach role. If you haven’t personally configured agentic workflows, written custom skills, or wired up MCP integrations, this isn’t the seat.

What You’ll Do

  • Lead technical pre-sales:Partner with sales and delivery leadership on active opportunities — run technical discovery, scope proof-of-concept builds, and deliver live demonstrations of Claude Code and Claude Cowork tailored to a prospect’s actual environment and workflows.
  • Deliver advanced technical enablement: Design and lead hands-on sessions for 20+ engineers or technical business users at a time — covering agentic coding workflows, custom skills, MCP server integrations, subagent orchestration, permission and tool-access models, and how to fit Claude Code and Cowork into existing engineering practice.
  • Hold technical ground solo: Field detailed questions on architecture, context management, tool permissions, data flow, security posture, and failure modes — live, without deferring to “someone technical” who isn’t in the room.
  • Frame the business case: Work with client stakeholders to identify high-value workflows, map them to what Claude Code and Cowork can actually do, and translate that into a business case business leaders will act on.
  • Spot and scope follow-on work: Treat every workshop and demo as a discovery exercise — identify where a client’s next engagement lives, and feed that directly into proposals, SOWs, and delivery roadmaps.
  • Build reusable technical assets:Create demo repos, sample skills, workshop curricula, and reference architectures that make every future engagement faster to stand up.
  • Navigate regulated environments: Advise financial services, insurance, and other regulated clients on secure, compliant configurations of Claude Code and Cowork — governance, audit trails, and data handling included.
  • Measure what matters: Track technical adoption depth, workshop-to-pipeline conversion, and follow-on scope generated — real numbers, not attendance counts.

What You’ll Bring

  • 8+ years in software engineering, solutions architecture, or technical consulting, with recent hands-on depth in agentic AI systems — this is a senior architect–level technical role, not an enablement generalist role
  • Deep, current, hands-on fluency with Claude Code and Claude Cowork specifically — configuring skills, MCP servers, subagents, and permission scopes, not just familiarity from the outside
  • A specific, named example of something you’ve built with agentic AI tooling: a custom skill, an MCP integration, a multi-step agent workflow, a CI/CD pipeline with an agent in the loop
  • Proven experience presenting to large (20+) technical audiences and holding your own against skeptical senior engineers with no one else backing you up
  • Pre-sales or technical sales engineering experience — discovery calls, live demos, SOW scoping, or technical proposal input
  • The judgment to translate technical capability into business value, and to spot where automation or agentic assistance unlocks the next phase of a client’s work
  • A track record of turning technical sessions into scoped follow-on engagements — quantifiable in pipeline or expansion revenue, not just satisfaction scores
  • Comfort operating in regulated, enterprise environments, including security and governance review of AI tooling
  • The composure to demo or debug live, in real time, without a script

Strongly Preferred, Not Required

  • Direct experience in banking, financial services, insurance, or another regulated industry
  • Experience as a sales engineer or solutions consultant at an enterprise software or AI company
  • Contributions to internal Anthropic-based tooling — custom MCP servers, shared skill libraries, or agent orchestration frameworks

About Nimble Gravity

Nimble Gravity is a team of outdoor enthusiasts, adrenaline seekers, and experienced growth hackers. We love solving hard problems and believe the right data can transform and propel growth for any organization.

Nimble Gravity is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Nimble Gravity considers all qualified applicants.

Read the full description
Operator Vercel: Member of the Technical Staff, Internal Agent

Design and build an internal AI agent (V) that automates workflows across Vercel's systems, managing architecture, integrations, evaluation systems, and multi-team capability contributions.

Senior Remote Posted 12 days ago We Work Remotely — Programming
What this role involves

Headquarters: Remote - United States

About Vercel:

Vercel is the agentic infrastructure company. We free people and agents to ship what’s next.

For more than a decade, Vercel has shaped how the web is built. As the team behind Next.js, v0, and AI SDK, we create products that help builders move from idea to production with speed, security, and exceptional developer experience.

Now, software is entering a new era, and the next generation of products will not just be used by people. They will be built, extended, and operated by agents.

We are building the platform for that future, trusted by companies like OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. Whether you’re building our products, supporting our customers, growing our community, or shaping our story, you’ll help define what comes next.

About Vercel:

Vercel is the agentic infrastructure company. We free people and agents to ship what’s next.

For more than a decade, Vercel has shaped how the web is built. As the team behind Next.js, v0, and AI SDK, we create products that help builders move from idea to production with speed, security, and exceptional developer experience.

Now, software is entering a new era, and the next generation of products will not just be used by people. They will be built, extended, and operated by agents.

We are building the platform for that future, trusted by companies like OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. Whether you’re building our products, supporting our customers, growing our community, or shaping our story, you’ll help define what comes next.

What You Will Do:

  • Design and build V as the primary agentic interface for getting work done across Vercel, from answering questions and analyzing data to executing complex, multi-system workflows.
  • Build the agent architecture that allows V to understand intent, plan work, select the right skills and tools, recover from failures, and complete long-running tasks reliably.
  • Ship polished experiences across Slack, web, and other surfaces, combining natural-language interaction with rich, interactive interfaces when chat alone is not enough.
  • Develop evaluation, observability, and feedback systems that measure whether V’s answers and actions are accurate, useful, efficient, and trustworthy.
  • Establish primitives that make it easy for teams across Vercel to contribute new capabilities without creating fragmented agents or inconsistent user experiences.
  • Help define what it means for a company to be operated through an agent and turn what we learn building V into ideas and infrastructure that can eventually benefit Vercel’s customers.

About the Role:

  • You have 7+ years of full-time software engineering experience and strong TypeScript proficiency.
  • You are comfortable working across product surfaces and system boundaries, from conversational UI and interactive data experiences to APIs, queues, databases, permissions, and production infrastructure.
  • You care about the quality of AI interactions: context selection, tool use, memory, latency, generated interfaces, uncertainty, and how the system communicates progress and asks for help.
  • You have a track record of openness and adaptability. You have moved into unfamiliar technologies, domains, or responsibilities and learned quickly. This space is changing too quickly for fixed expertise to matter more than curiosity and judgment.
  • Experience with using and building agent harnesses (OpenClaw, Hermes, Pi, etc) is a plus but not required

Benefits:

  • Competitive compensation package, including equity.
  • Inclusive Healthcare Package.
  • Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
  • Flexible Time Off.
  • We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.

The San Francisco, CA base pay range for this role is $208,000 - $312,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. 

Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

 

To apply: https://weworkremotely.com/remote-jobs/vercel-member-of-the-technical-staff-internal-agent

Read the full description
Operator AI Prompt Engineer (Skills & Prompts) at Pixalate

Designs and maintains system prompts, agent skills, and evaluation frameworks for production AI agents serving real customers.

Mid Remote Posted 13 days ago RemoteFirstJobs Product
What this role involves

AI Prompt Engineer (Skills & Prompts)

Employment Type: Full-Time

Location: Remote, Pakistan

The Role

Pixalate runs AI agents in production against real customer problems: agents that investigate invalid traffic (IVT) for clients, and analytics agents that let customers ask questions of our data directly. These agents are only as good as the instructions and skills behind them.

As an AI Prompt Engineer you own that layer. You will write and maintain the system prompts and the agent skills that decide how our agents behave: what they know, which tools they reach for, when they push back, and, critically, when they stop and ask the user a clarifying question instead of guessing. This is engineering work, not prompt tinkering. You will version your changes, measure them against evaluations, and be accountable for agent behaviour in front of real customers. You will work directly with the team building the IQ Agent and Analytics MCP, the client IVT investigator agents, and the MRT MCP.

What You’ll Do

Build and Own Agent Skills

  • Author and maintain Claude skills and plugins that define agent capabilities and behaviour
  • Design agents that ask clarifying questions and gather requirements interactively, rather than answering one-shot from incomplete information
  • Decide what belongs in a skill, what belongs in a system prompt, and what belongs in a tool
  • Maintain the skill library as products evolve, treating it as a living surface rather than a one-time build

System Prompts for Production Agents

  • Own the system prompts behind Pixalate’s client-facing agents: IVT investigator agents, IQ Agent / Analytics MCP, and MRT MCP
  • Version prompts and skills deliberately, with a clear record of what changed and why
  • Debug real agent failures: wrong tool selection, hallucinated findings, missed clarifying questions, context exhaustion

Evaluation and Measurement

  • Define what “correct” means for each agent and build evaluation suites that test it
  • Build ground-truth datasets from real customer scenarios and measure changes against them
  • Catch regressions before customers do

Context and Tool Design

  • Engineer context strategies: what the agent sees, in what order, within what budget
  • Work with engineering on MCP tool surfaces: which tools exist, how they are described, and how those descriptions drive correct selection
  • Tune for cost and latency as well as accuracy

Safety and Trust

  • Guard against prompt injection, data leakage, and unsafe tool use in customer-facing agents
  • Ensure agents represent Pixalate’s findings accurately and do not overstate confidence

What We’re Looking For

  • Demonstrable experience building LLM agents that shipped to real users, not prototypes or demos
  • Hands-on work with agent skills, plugins, system prompts, or equivalent agent-behaviour tooling
  • Evidence of evaluation discipline: you can describe an eval suite you built, the ground truth behind it, and a regression it caught. This is the single most important qualification.
  • Strong written English. This role is writing, and the writing is the product.
  • Working proficiency in Python or TypeScript, and comfort reading the codebase your agents run in
  • Understanding of tool-calling / function-calling and how agents select tools
  • Awareness of prompt injection, PII handling, and the failure modes of customer-facing AI
  • Comfortable with some U.S. timezone overlap for team meetings
  • Ad-tech, digital advertising, or fraud-detection exposure is strongly preferred: programmatic, DSPs, SSPs, CTV, or IVT and ad fraud concepts. If you do not have it, you must be prepared to learn the domain deeply in your first 90 days, because agent quality depends on it.
  • Experience with MCP (Model Context Protocol) servers or similar tool-integration standards is a plus
  • Experience with observability and tracing for LLM systems is a plus
  • Experience with retrieval systems and their failure modes is a plus
  • Data analysis background, including SQL and working with large datasets, is a plus

About us

Pixalate is an online trust and safety platform that protects businesses, consumers and children from deceptive, fraudulent and non-compliant mobile, CTV apps and websites.

We’re seeking an AI Prompt Engineer to help build and maintain the production agent systems that directly impact millions of users worldwide. Our software and data have been used to unearth multiple high profile criminal and illegal surveillance cases including:

  • UNICEF: Pixalate was recently recognized by UNICEF as a Key Innovator for protecting children’s online privacy. & UNICEF Global Compliance Tech case study
  • Gizmodo : An iCloud Feature Is Enabling a $65 Million Scam, New Research Says
  • Adweek : A 7-Figure Ad Fraud Scheme Running on Roku Underlines Murkiness of CTV
  • Washington Post : Your kids’ apps are spying on them
  • Pro Publica : Porn, Piracy, Fraud: What Lurks Inside Google’s Black Box Ad Empire
  • ABC7 News : The State of Children’s Privacy Online
  • NBC News : How many apps are tracking your children

Our team of lawyers, data scientists, engineers, economists and researchers span globally with presence in California, New York, Washington DC, London and Singapore.Pixalate is an equal opportunity employer committed to building a diverse team.

Our Culture

We believe in small teams that produce high output. Slack is a way of life and short emails are encouraged. We value a fearless attitude and bold ideas. Chess players do well here. Titles don’t mean much - you attain respect by producing results. Everyone’s a data addict and analytical thinker who thrives on collaboration.

What We Offer

At Pixalate, you will have the opportunity to work on pioneering technologies alongside some of the brightest minds in the industry. If you’re passionate about building products that protect millions of users and thrive in a fast-paced, challenging environment, you’ll fit right in.

  • A Competitive Compensation Package
  • Monthly Internet Reimbursement
  • Casual, Remote Work Environment
  • Flexible Hours
  • Opportunity for Advancement and Professional Development
  • Fun Annual Team Events
  • Being part of a high-performing global team that wants to win and have fun doing it
Read the full description
Operator Product Operations Associate at EvenUp

Owns AI Communication Agent operations by writing/testing prompts, running QA cycles, gathering customer feedback, and partnering with product and engineering to ship improvements.

Junior Remote Posted 14 days ago RemoteFirstJobs Product
What this role involves

EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more.

We are one of the fastest-growing vertical SaaS companies in history, and we are just getting started. EvenUp is backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Learn more at www.evenuplaw.com.

We’re hiring a Product Operations Associate to own the operational side of our AI Communication Agents, the systems that communicate with medical providers, law firms, and plaintiffs on our clients’ behalf. You’ll write and iterate the prompts and logic that power these agents, run the QA and audit cycles that keep their output trustworthy, and work directly with a PM to decide what ships next.

This is a hands-on, individual-contributor role on a small, high-trust team. You’ll have real influence on the product and a direct line to both leadership and customers within weeks of starting.

This is a remote role that can be based anywhere in the United States.

What you’ll do

  • Partner with the Product Manager and Engineering to shape the Communication Agents roadmap

  • Own the client feedback loop: join customer calls, triage incoming issues, separate one-off complaints from real defects, and close the loop with law firms and Customer Success.

  • Write, iterate, and test agent prompts, scripts, logic, and configurations, shipping improvements with Engineering and Data Science while defining inputs, outputs, and escalation paths.

  • Build and maintain QA rubrics and audit processes, driving fixes through to resolution.

  • Handle reporting and ad hoc leadership requests as they arise.

What we look for

  • 2–3 years of experience in Product Operations, AI Operations, or Technical Program Management, having owned a product or operational surface end-to-end.

  • Hands-on experience prompting and evaluating LLM systems

  • Experience building or running a QA/evaluation process, plus experience working directly with customers to translate their feedback into product changes.

  • Ability to hold a high quality bar under pressure in a fast-moving, non-deterministic environment, without needing a playbook handed to you.

  • Strong written communication skills.

Benefits & Perks:

As part of our total rewards package, we offer attractive benefits and perks to our employees, including:

  • Choice of medical, dental, and vision insurance plans for you and your family.

  • Additional insurance coverage options for life, accident, or critical illness.

  • Flexible paid time off, sick leave, short-term and long-term disability.

  • 10 US observed holidays, and Canadian statutory holidays by province.

  • A home office stipend.

  • 401(k) for US-based employees and RRSP for Canada-based employees.

  • Paid parental leave.

  • A local in-person meet-up program.

  • Hubs in San Francisco and Toronto.

(Please note the above benefits & perks are for full-time employees)

Notice to Candidates:

To ensure fairness and proper consideration, we do not accept resumes or expressions of interest via email or social media messages. If you’re interested in a role, please submit your application directly through our careers page .

Please note that EvenUp may use AI notetakers and other recording devices in the recruiting process. If you interview with us, with your consent, we may record your conversations and summarize them into notes for internal use. Recording is optional, and declining will not affect your candidacy.

EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Read the full description
Operator Product Operations Associate at EvenUp

Owns operational and quality aspects of AI communication agents by writing prompts, running QA audits, and translating customer feedback into product improvements.

Junior Remote Posted 14 days ago RemoteFirstJobs Product
What this role involves

EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more.

We are one of the fastest-growing vertical SaaS companies in history, and we are just getting started. EvenUp is backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Learn more at www.evenuplaw.com.

We’re hiring a Product Operations Associate to own the operational side of our AI Communication Agents, the systems that communicate with medical providers, law firms, and plaintiffs on our clients’ behalf. You’ll write and iterate the prompts and logic that power these agents, run the QA and audit cycles that keep their output trustworthy, and work directly with a PM to decide what ships next.

This is a hands-on, individual-contributor role on a small, high-trust team. You’ll have real influence on the product and a direct line to both leadership and customers within weeks of starting.

This is a remote role that can be based anywhere in the United States.

What you’ll do

  • Partner with the Product Manager and Engineering to shape the Communication Agents roadmap

  • Own the client feedback loop: join customer calls, triage incoming issues, separate one-off complaints from real defects, and close the loop with law firms and Customer Success.

  • Write, iterate, and test agent prompts, scripts, logic, and configurations, shipping improvements with Engineering and Data Science while defining inputs, outputs, and escalation paths.

  • Build and maintain QA rubrics and audit processes, driving fixes through to resolution.

  • Handle reporting and ad hoc leadership requests as they arise.

What we look for

  • 2–3 years of experience in Product Operations, AI Operations, or Technical Program Management, having owned a product or operational surface end-to-end.

  • Hands-on experience prompting and evaluating LLM systems

  • Experience building or running a QA/evaluation process, plus experience working directly with customers to translate their feedback into product changes.

  • Ability to hold a high quality bar under pressure in a fast-moving, non-deterministic environment, without needing a playbook handed to you.

  • Strong written communication skills.

Benefits & Perks:

As part of our total rewards package, we offer attractive benefits and perks to our employees, including:

  • Choice of medical, dental, and vision insurance plans for you and your family.

  • Additional insurance coverage options for life, accident, or critical illness.

  • Flexible paid time off, sick leave, short-term and long-term disability.

  • 10 US observed holidays, and Canadian statutory holidays by province.

  • A home office stipend.

  • 401(k) for US-based employees and RRSP for Canada-based employees.

  • Paid parental leave.

  • A local in-person meet-up program.

  • Hubs in San Francisco and Toronto.

(Please note the above benefits & perks are for full-time employees)

Notice to Candidates:

To ensure fairness and proper consideration, we do not accept resumes or expressions of interest via email or social media messages. If you’re interested in a role, please submit your application directly through our careers page .

Please note that EvenUp may use AI notetakers and other recording devices in the recruiting process. If you interview with us, with your consent, we may record your conversations and summarize them into notes for internal use. Recording is optional, and declining will not affect your candidacy.

EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Read the full description
Operator Product Operations Associate at EvenUp

Owns operational workflows for AI agents, writes and iterates prompts, runs QA cycles, and partners with product/engineering to ship improvements.

Junior Remote Posted 14 days ago RemoteFirstJobs Product
What this role involves

EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more.

We are one of the fastest-growing vertical SaaS companies in history, and we are just getting started. EvenUp is backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Learn more at www.evenuplaw.com.

We’re hiring a Product Operations Associate to own the operational side of our AI Communication Agents, the systems that communicate with medical providers, law firms, and plaintiffs on our clients’ behalf. You’ll write and iterate the prompts and logic that power these agents, run the QA and audit cycles that keep their output trustworthy, and work directly with a PM to decide what ships next.

This is a hands-on, individual-contributor role on a small, high-trust team. You’ll have real influence on the product and a direct line to both leadership and customers within weeks of starting.

This is a remote role that can be based anywhere in the United States.

What you’ll do

  • Partner with the Product Manager and Engineering to shape the Communication Agents roadmap

  • Own the client feedback loop: join customer calls, triage incoming issues, separate one-off complaints from real defects, and close the loop with law firms and Customer Success.

  • Write, iterate, and test agent prompts, scripts, logic, and configurations, shipping improvements with Engineering and Data Science while defining inputs, outputs, and escalation paths.

  • Build and maintain QA rubrics and audit processes, driving fixes through to resolution.

  • Handle reporting and ad hoc leadership requests as they arise.

What we look for

  • 2–3 years of experience in Product Operations, AI Operations, or Technical Program Management, having owned a product or operational surface end-to-end.

  • Hands-on experience prompting and evaluating LLM systems

  • Experience building or running a QA/evaluation process, plus experience working directly with customers to translate their feedback into product changes.

  • Ability to hold a high quality bar under pressure in a fast-moving, non-deterministic environment, without needing a playbook handed to you.

  • Strong written communication skills.

Benefits & Perks:

As part of our total rewards package, we offer attractive benefits and perks to our employees, including:

  • Choice of medical, dental, and vision insurance plans for you and your family.

  • Additional insurance coverage options for life, accident, or critical illness.

  • Flexible paid time off, sick leave, short-term and long-term disability.

  • 10 US observed holidays, and Canadian statutory holidays by province.

  • A home office stipend.

  • 401(k) for US-based employees and RRSP for Canada-based employees.

  • Paid parental leave.

  • A local in-person meet-up program.

  • Hubs in San Francisco and Toronto.

(Please note the above benefits & perks are for full-time employees)

Notice to Candidates:

To ensure fairness and proper consideration, we do not accept resumes or expressions of interest via email or social media messages. If you’re interested in a role, please submit your application directly through our careers page .

Please note that EvenUp may use AI notetakers and other recording devices in the recruiting process. If you interview with us, with your consent, we may record your conversations and summarize them into notes for internal use. Recording is optional, and declining will not affect your candidacy.

EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Read the full description
Operator Sr Agent Architect (Germany) at Parloa

Design and deploy enterprise AI agent architectures, integrate with customer systems, and optimize conversational AI performance using prompt engineering and LLM knowledge.

Senior Remote Posted 15 days ago RemoteFirstJobs Product
What this role involves

About Parloa

Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience - one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale.

About the role

As a Sr Agent Architect at Parloa, you will act as a solution architect for enterprise AI Agent deployments. You will design end-to-end system architectures that connect Parloa’s platform to complex enterprise environments, solve multi-system integration challenges, and apply systems thinking to build reliable, scalable AI solutions for global enterprise clients.

You will also shape the conversational experience layer, using prompt engineering and your knowledge of LLMs to translate customer requirements into agent behavior. Architecture and integration depth are the core of this role. Conversational design skills are valued and can be developed on the job.

Areas of ownership

  • Design end-to-end solution architectures for AI Agent deployments, mapping how Parloa’s platform integrates into customers’ enterprise systems (CRMs, ERPs, ticketing systems, contact center platforms).
  • Build and configure integrations using integration platforms and APIs, applying systems thinking to solve complex, multi-system data flows.
  • Collaborate with Forward Deployed Engineers on complex or custom integration scenarios that go beyond standard integration capabilities.
  • Apply structured testing approaches to validate architecture, integration reliability, and AI agent performance under real-world conditions.
  • Identify and resolve blockers together with other departments at Parloa (e.g., Product, Solution Engineering, Sales) and the customer.
  • Scope AI Agent deployments, providing strategic architecture advice and execution support to customers and partners.
  • Use your knowledge of LLM internals (e.g., embeddings) to analyze customer requirements and design prompts for reliable, user-aligned agent behavior.
  • Translate complex customer workflows into structured conversational components that LLMs can execute reliably.
  • Fine-tune conversational flows and voice output (e.g., SSML, Lexicons, Regex) to align with customer brand standards.
  • Document best practices, how-to guides, and product capabilities for internal and external audiences, representing the expertise of the Agent Architect team.

Who you are

  • 3+ years of experience in enterprise customer-facing roles, with proven expertise in solution architecture, systems architecture, or enterprise integration.
  • Strong systems thinking, with a track record of solving complex technical problems across multiple systems and data sources.
  • Experience with complex SaaS implementations at scale (CRMs, ERPs, contact center platforms, ticketing systems).
  • Proficiency in REST API design, JSON/XML data structures, API testing tools (e.g., Postman), and API authentication patterns (OAuth, API keys, JWT).
  • Experience reading and consuming API documentation across enterprise SaaS platforms, including data transformation and field mapping logic.
  • Analytical and critical thinker with expertise in risk assessment and problem-solving.
  • Strong project and stakeholder management skills, with a passion for meeting milestones and effective communication.
  • Entrepreneurial mindset with initiative, results orientation, and ability to identify opportunities for impact.
  • Ability to analyze customer requirements and translate them into LLM prompts and conversational flows, with attention to subtle conversational nuance and A/B testing to assess agent performance.
  • Prior conversation design, prompt engineering (e.g., chain-of-thought, few-shot learning), or A/B testing experience is a plus, not a requirement - we will train this.
  • Excellent written and spoken German and English skills are required.

Our Recruiting Process:

Talent Acquisition → Hiring Manager → Technical Interview(s) → Bar Raiser

Why Parloa?

We’re at the beginning of a new era in customer experience, one where AI doesn’t just respond, but understands, reasons, and takes action. We’re building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren’t just support tickets; they’re defining experiences. We’re here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale and want your work to matter in real, everyday moments, this is where you do it.

At Parloa, ownership isn’t a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that’s evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them.

We’ve grown beyond the earliest startup phase, but we’ve kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one.

Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we’re scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI.

Parloa is committed to upholding the highest data protection standards for our clients’ and employees’ data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information.

Parloa is an e-verify employer in the USA. Please click here to learn more.

\* We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.

Read the full description