Product Analyst Visa Sponsorship Jobs in Colorado
Product analyst roles in Colorado are concentrated in Denver's growing tech sector, with companies like Ibotta, Vertafore, and Arrow Electronics regularly hiring data-driven analysts. Boulder's startup ecosystem and Colorado Springs' defense tech presence add further depth. International candidates with product analytics skills will find active visa sponsorship across enterprise software, fintech, and e-commerce employers throughout the state.
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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
Product Analyst Job Roles in Colorado
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Search Product Analyst Jobs in ColoradoProduct Analyst Jobs in Colorado: Frequently Asked Questions
Which companies sponsor visas for product analysts in Colorado?
Several established Colorado employers have filed H-1B visa Labor Condition Applications for product analyst roles, including Ibotta, Vertafore, Conga, and Arrow Electronics in the Denver metro. Larger enterprises like Lockheed Martin in Littleton and Optum (part of UnitedHealth Group) in Colorado Springs also have documented sponsorship histories. Mid-size SaaS and fintech companies in the Boulder and Denver tech corridors are active sponsors as well.
Which visa types are most common for product analyst roles in Colorado?
The H-1B is the most common visa for product analysts in Colorado, as these roles typically require a bachelor's degree in a specific field such as statistics, computer science, or business analytics, meeting the specialty occupation standard. OPT and STEM OPT are also widely used by recent graduates from Colorado universities while completing the transition to employer-sponsored status. Canadian and Mexican nationals sometimes qualify under the TN visa in closely related analytical categories.
How to find product analyst visa sponsorship jobs in Colorado?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to browse product analyst openings in Colorado without sorting through roles that won't support international candidates. You can filter by state and role type to surface Denver, Boulder, and Colorado Springs opportunities from employers with active sponsorship programs. Migrate Mate aggregates postings from companies that have demonstrated willingness to sponsor, saving significant research time.
Which cities in Colorado have the most product analyst sponsorship jobs?
Denver accounts for the largest share of product analyst sponsorship jobs in Colorado, driven by its concentration of tech companies, financial services firms, and enterprise software vendors. Boulder is a secondary hub with a strong startup and analytics culture around companies connected to the University of Colorado ecosystem. Colorado Springs contributes roles in defense technology and healthcare IT, though at lower volume than the Denver metro corridor.
Are there any Colorado-specific considerations for product analysts seeking visa sponsorship?
Colorado's Equal Pay for Equal Work Act requires employers to disclose compensation ranges in job postings, which gives international candidates useful context when evaluating whether an offer meets prevailing wage requirements tied to H-1B filings. The University of Colorado and Colorado State University produce consistent pipelines of OPT-eligible analytics graduates, meaning local employers are often familiar with international hiring processes. Boulder's tech density also means some smaller employers have existing immigration counsel relationships, which can streamline the sponsorship process.
What is the prevailing wage for sponsored product analyst 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.