Angi
Technology
StaffAIProductAnalyst
Neural analysis suggests this role is
optimal for Senior candidates.
“Staff AI Product Analyst at Angi. Skills: AI Product Analytics, Agentic Analytics, Evaluation Frameworks, Data Ecosystem. Define AI-native product analytics. Turn technology into use cases”
What You'll Achieve.
Reduce incidents; Prioritize roadmaps
Industry & Context.
Failure mode analysis; Root cause analysis
What They're Looking For.
Must Have
10+ years experience, 1+ years AI/LLM systems, Python proficiency, ML frameworks proficiency, Data visualization platforms proficiency, Analytics platforms proficiency, Data management practices, Data governance practices, AI evaluation frameworks, Formal evals experience, Golden datasets experience, Production monitoring experience, Exceptional communication skills
Nice to Have
Experience building agentic analytics workflows, Experience evaluating agentic analytics workflows, Orchestration frameworks experience, Multi-agent systems familiarity, Operate fluidly in ambiguity, Run structured experiments, Run pilots, Default to fast action, Default to iteration, Systems-oriented mindset, Skepticism of AI hype
What You'll Do.
Define AI-native product analytics
Turn technology into use cases
Develop robust evaluation disciplines
Establish trusted data ecosystem
Define AI-native analytics leverage
Design evaluation frameworks
Establish system standards
Define north-star metrics
Define guardrail metrics
Focus on adoption metrics
Focus on task completion metrics
Focus on quality metrics
Focus on downstream business outcomes
Align on interpretation
Align on causal framing
Map agent interactions
Ensure data requirements are explicit
Ensure analytics requirements are explicit
Ensure requirements are structured
Ensure requirements are testable
Design evaluation sets
Maintain evaluation sets
Design golden datasets
Maintain golden datasets
Design regression checks
Maintain regression checks
Guarantee completeness
Guarantee policy safety
Categorize wrong answers
Categorize tool misuse
Categorize context gaps
Categorize data edge cases
Feed insights into prompts
Feed insights into retrieval
Feed insights into tools
Feed insights into data modeling
Track abandonment rates
Track fallback patterns
Track human override rates
Maintain engineering backlog
Own internal documentation
Define human checkpoints
Define uncertainty communication
Support leadership storytelling
Partner with business leaders
Partner with Principal Analytics Engineer
Partner with data engineering teams
Translate AI capabilities
Deliver measurement artifacts
Reduce high-severity incidents
How You'll Work.
Team & Collaboration
Partner with AI product; Partner with engineering; Partner with domain experts; Align with data science; Partner with business leaders; Partner with Principal Analytics Engineer; Partner with data engineering teams
Communication Scope
Translate technical insights; Translate tradeoffs; Clear narratives
Process & Methodology
Backlog management, Roadmap prioritization
Full Job Description
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
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