Hiring: Principal Product Manager, AI Platform Company: Angi Location: Denver, CO Job Posted Time: 2026-09-16 18:43:39 Target Skills & Keywords : AI, Fine-tuning, Kubernetes, LLM, Product Management, Product Strategy, SageMaker About the job Experience: •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. •8+ years of experience in Product Management, with at least 4 years focused on infrastructure, platforms, ML/AI systems, or other technical products serving internal engineering or data-science customers. •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. •At least 4 years focused on infrastructure, platforms, ML/AI systems, or other technical products serving internal engineering or data-science customers. Required Skills: •Product Management •Evaluation & Quality Enforcement: Define the roadmap for the eval engine and the pass/fail gate that runs on it, eval-gated prompt management with versioning and rollback, and per-agent accuracy scoring — so quality regressions are caught before they reach users rather than surfacing downstream in business metrics. •Trust & Autonomy Ladder: Define and champion the trust-and-autonomy ladder — the thresholds, progression criteria, evidence, approvals, and rollback logic that govern when an agent earns more independence — so agentic adoption scales with accountability instead of governance gaps. •LLM & ML Serving Infrastructure: Own the production path self-hosted LLM /open-weight model serving and traditional ML with the goal to consolidate both ML and LLM workloads under one standardized observable platform. •Cost & ROI Telemetry: Define and instrument the metrics that track the platform health as well as business impact to the platform. •Execution And Leadership •Cross-Functional Partnership: Establish deep partnerships with product engineering, architecture and data science to drive adoption and make sure the platform reflects how teams actually build and serve models. •Technical Roadmap Management: Manage a complex platform backlog spanning parallel tracks and under real capacity constraints. Make and communicate authoritative sequencing and trade-off decisions with concise and clear communications. Qualifications: •Proven track record scaling technical platforms from inception through maturity for demanding internal customers. •Technical fluency across the modern AI/ML stack — model serving and inference, API gateways/proxies, evaluation and testing frameworks, and cloud/Kubernetes infrastructure — sufficient to “swim with the fishes” with engineers and data scientists on architecture trade-offs. •Demonstrated ability to use telemetry and cost data (model performance, eval results, adoption analytics, spend data) to diagnose bottlenecks and drive product strategy. •Hands-on familiarity with LLM gateways/proxies (e.g., LiteLLM), evaluation and observability tooling (e.g., Langfuse), and model serving frameworks (e.g., KServe, SageMaker, Bedrock, Ray). •Operational familiarity with agent governance concepts — guardrails, PII controls, prompt-injection protection, and autonomy/trust frameworks — and with the tension between agent velocity and cost control. •Exceptional leadership skills with a history of influencing cross-functional teams without direct authority. Compensation: •$190,000 - $280,000 / year •This position will be eligible for a competitive year end performance bonus & equity package Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!