AI Product Engineer Visa Sponsorship Jobs in Colorado
Colorado's AI product engineer job market is anchored by Denver's fast-growing tech sector and Boulder's startup ecosystem, with companies like Google, Palantir, Lockheed Martin, and a range of funded AI startups actively hiring. Roles blend product thinking with machine learning infrastructure, and international candidates with the right technical background regularly attract visa sponsorship from both established firms and growth-stage companies.
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Get Access To All JobsFor over 30 years, Angi has powered the future of the home services industry, creating an environment where homeowners and pros benefit from more jobs done well.
For homeowners, our platform is a reliable way to find skilled pros. For pros, we're a reliable business partner who helps them find the winnable work they want, when they want. For employees, we're an amazing place to call home. We can't wait to welcome you.
Angi at a glance:
- Founded in 1995 as Angie’s List and rebranded in 2021
- Global company with 9 brands in 8 countries and employees worldwide
- Homeowners have turned to us for 300 million home projects and counting
About the team
The Staff AI Product Analyst will define AI-native product analytics for Angi, turning visionary technology into prioritized use cases, robust evaluation disciplines, and a trusted data ecosystem. This role is central to building Angi’s agentic product analytics capability—defining where AI-native analytics creates real leverage, designing the evaluation frameworks that earn organizational trust, and establishing repeatable system standards. As a senior individual contributor, you will have broad influence across the product analytics function and beyond, ensuring that both human teams and AI agents remain aligned on truth, quality, and usefulness.
The ideal candidate is a systems-thinking data expert who bridges the gap between deep AI capabilities and practical business outcomes.
What you’ll do
AI Product Strategy & Metrics Design
- Flagship Journey Measurement: Partner with AI product, engineering, and domain experts to define north-star and guardrail metrics for flagship AI journeys, focusing on adoption, task completion, quality, and downstream business outcomes.
- Causal Framing & Experimentation: Align closely with data science partners on test design, interpretation, and causal framing when new AI products ship.
- Data Layer Systems Thinking: Map how agents interact with metrics, raw tables, documentation, and APIs to ensure requirements for data and analytics engineering are explicit, structured, and testable.
Evaluation, Governance & Backlog Management
- Eval Framework Architecture: Design and maintain formal evaluation sets, "golden datasets," rubrics, and regression checks for agent outputs to guarantee accuracy, completeness, policy safety, and usefulness.
- Taxonomy & Failure Mode Analysis: Systematically categorize wrong answers, tool misuse, context gaps, and data edge cases, feeding those insights back into prompts, retrieval (RAG), tools, and data modeling pipelines.
- Performance Monitoring: Monitor live usage of Agentic AI analytics workflows—tracking success, abandonment, fallback patterns, and human override rates to maintain a prioritized engineering improvement backlog.
Cross-Functional Leadership & Enablement
- Playbooks & Narrative: Own internal documentation defining when to use agents, required human checkpoints, and how to communicate uncertainty. Support enablement and leadership storytelling around agentic AI analytics.
- Strategic Collaboration: Partner with business leaders, the Principal Analytics Engineer, and data engineering teams to translate complex AI capabilities into measurable business outcomes.
- Defining Success: Deliver recurring measurement artifacts (dashboards, reviews, or written readouts) that leadership uses to prioritize roadmaps, while continuously reducing high-severity incidents where agents produce incorrect metrics.
Who you are
Minimum Qualifications
- 10+ years of experience across product analytics, data science, or technical product management within a complex, high-scale operating environment.
- 1+ years of direct, hands-on experience working with AI/LLM systems in an applied context, with a specific focus on evaluating, trusting, and deploying them responsibly.
- Deep technical proficiency with Python, ML frameworks, data visualization/analytics platforms, and standard data management/governance practices.
- Proven track record designing AI evaluation frameworks, including formal evals, golden datasets, production monitoring, or equivalent rigor in a related data discipline.
- Exceptional communication skills with a demonstrated ability to translate highly technical AI insights and tradeoffs into clear narratives for non-technical business stakeholders.
Preferred Qualifications
- Experience building or evaluating agentic analytics workflows, orchestration frameworks, and familiarity with multi-agent systems.
- Demonstrated ability to operate fluidly in ambiguity, run structured experiments or pilots, and default to fast action and iteration.
- A systems-oriented mindset with a healthy skepticism of AI hype, focusing strictly on organizational outcomes and driving technical investments that yield true business value.
We value diversity
We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences.
Compensation & Benefits
- The salary band for this position ranges from $165,000 - $225,000 commensurate with experience and performance. Compensation may vary based on factors such as cost of living.
- This position will be eligible for a competitive year end performance bonus & equity package.
- Full medical, dental, vision package to fit your needs
- Flexible vacation policy; work hard and take time when you need it
- Pet discount plans & retirement plan with company match (401K)
- The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world
LI-Remote
For over 30 years, Angi has powered the future of the home services industry, creating an environment where homeowners and pros benefit from more jobs done well.
For homeowners, our platform is a reliable way to find skilled pros. For pros, we're a reliable business partner who helps them find the winnable work they want, when they want. For employees, we're an amazing place to call home. We can't wait to welcome you.
Angi at a glance:
- Founded in 1995 as Angie’s List and rebranded in 2021
- Global company with 9 brands in 8 countries and employees worldwide
- Homeowners have turned to us for 300 million home projects and counting
About the team
The Staff AI Product Analyst will define AI-native product analytics for Angi, turning visionary technology into prioritized use cases, robust evaluation disciplines, and a trusted data ecosystem. This role is central to building Angi’s agentic product analytics capability—defining where AI-native analytics creates real leverage, designing the evaluation frameworks that earn organizational trust, and establishing repeatable system standards. As a senior individual contributor, you will have broad influence across the product analytics function and beyond, ensuring that both human teams and AI agents remain aligned on truth, quality, and usefulness.
The ideal candidate is a systems-thinking data expert who bridges the gap between deep AI capabilities and practical business outcomes.
What you’ll do
AI Product Strategy & Metrics Design
- Flagship Journey Measurement: Partner with AI product, engineering, and domain experts to define north-star and guardrail metrics for flagship AI journeys, focusing on adoption, task completion, quality, and downstream business outcomes.
- Causal Framing & Experimentation: Align closely with data science partners on test design, interpretation, and causal framing when new AI products ship.
- Data Layer Systems Thinking: Map how agents interact with metrics, raw tables, documentation, and APIs to ensure requirements for data and analytics engineering are explicit, structured, and testable.
Evaluation, Governance & Backlog Management
- Eval Framework Architecture: Design and maintain formal evaluation sets, "golden datasets," rubrics, and regression checks for agent outputs to guarantee accuracy, completeness, policy safety, and usefulness.
- Taxonomy & Failure Mode Analysis: Systematically categorize wrong answers, tool misuse, context gaps, and data edge cases, feeding those insights back into prompts, retrieval (RAG), tools, and data modeling pipelines.
- Performance Monitoring: Monitor live usage of Agentic AI analytics workflows—tracking success, abandonment, fallback patterns, and human override rates to maintain a prioritized engineering improvement backlog.
Cross-Functional Leadership & Enablement
- Playbooks & Narrative: Own internal documentation defining when to use agents, required human checkpoints, and how to communicate uncertainty. Support enablement and leadership storytelling around agentic AI analytics.
- Strategic Collaboration: Partner with business leaders, the Principal Analytics Engineer, and data engineering teams to translate complex AI capabilities into measurable business outcomes.
- Defining Success: Deliver recurring measurement artifacts (dashboards, reviews, or written readouts) that leadership uses to prioritize roadmaps, while continuously reducing high-severity incidents where agents produce incorrect metrics.
Who you are
Minimum Qualifications
- 10+ years of experience across product analytics, data science, or technical product management within a complex, high-scale operating environment.
- 1+ years of direct, hands-on experience working with AI/LLM systems in an applied context, with a specific focus on evaluating, trusting, and deploying them responsibly.
- Deep technical proficiency with Python, ML frameworks, data visualization/analytics platforms, and standard data management/governance practices.
- Proven track record designing AI evaluation frameworks, including formal evals, golden datasets, production monitoring, or equivalent rigor in a related data discipline.
- Exceptional communication skills with a demonstrated ability to translate highly technical AI insights and tradeoffs into clear narratives for non-technical business stakeholders.
Preferred Qualifications
- Experience building or evaluating agentic analytics workflows, orchestration frameworks, and familiarity with multi-agent systems.
- Demonstrated ability to operate fluidly in ambiguity, run structured experiments or pilots, and default to fast action and iteration.
- A systems-oriented mindset with a healthy skepticism of AI hype, focusing strictly on organizational outcomes and driving technical investments that yield true business value.
We value diversity
We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences.
Compensation & Benefits
- The salary band for this position ranges from $165,000 - $225,000 commensurate with experience and performance. Compensation may vary based on factors such as cost of living.
- This position will be eligible for a competitive year end performance bonus & equity package.
- Full medical, dental, vision package to fit your needs
- Flexible vacation policy; work hard and take time when you need it
- Pet discount plans & retirement plan with company match (401K)
- The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world
LI-Remote
AI Product Engineer Job Roles in Colorado
See all 36+ AI Product Engineer Jobs in Colorado
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Search AI Product Engineer Jobs in ColoradoAI Product Engineer Jobs in Colorado: Frequently Asked Questions
Which companies sponsor visas for AI product engineers in Colorado?
Several Colorado employers have a documented history of sponsoring work visas for AI and technical product roles. These include Palantir Technologies (headquartered in Denver), Google's Boulder engineering office, Lockheed Martin's advanced technology division, and a growing number of AI-focused startups backed by Colorado's venture community. Larger enterprise software and defense tech firms in the Denver metro tend to have established immigration support infrastructure.
Which visa types are most common for AI product engineer roles in Colorado?
The H-1B visa is the most common visa category for AI product engineers in Colorado, as the role typically requires at least a bachelor's degree in computer science, engineering, or a related field, which satisfies the specialty occupation standard. Candidates with advanced degrees may also explore the EB-2 NIW pathway for self-sponsorship. Australians working in this field may qualify for the E-3 visa, which has no lottery and renews indefinitely.
Which cities in Colorado have the most AI product engineer sponsorship jobs?
Denver accounts for the largest share of AI product engineering roles with visa sponsorship in Colorado, driven by its concentration of tech companies, defense contractors, and AI startups. Boulder is a close second, with a strong university-linked pipeline from CU Boulder and a dense startup community. Colorado Springs has a smaller but growing presence, particularly among defense and aerospace technology employers.
How to find ai product engineer visa sponsorship jobs in Colorado?
Migrate Mate filters job listings specifically for roles offering visa sponsorship, so you can search AI product engineer positions in Colorado without sifting through companies that don't sponsor. The platform is built for international candidates and surfaces employers who have an active sponsorship history. Searching by state and role on Migrate Mate saves significant time compared to manually screening general job boards.
Are there state-specific factors that affect AI product engineer visa sponsorship in Colorado?
Colorado's Equal Pay for Equal Work Act requires employers to disclose compensation ranges in job postings, which gives international candidates clearer information when evaluating roles and assessing whether an offer meets H-1B prevailing wage requirements. The state's concentration of defense and aerospace employers also means some AI product roles may require U.S. citizenship or security clearance eligibility, which can affect sponsorship availability for international applicants.
What is the prevailing wage for sponsored ai product engineer jobs in Colorado?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.