About the role

Product Manager overseeing AI observability and evaluation within the ML/AI Platform team at Spotify. Collaborating with engineering leaders to enhance AI workloads and user experiences.

Responsibilities

Own the product roadmap for Spotify’s AI observability capabilities across instrumentation, data contracts, and debugging workflows.
Collaborate with stakeholders to develop the roadmap for Spotify’s AI/Agentic evaluation capabilities via LLM-as-judges and other approaches.
Build golden path instrumentation defaults (SDKs/libraries/templates) that make LLM workloads observable by default.
Partner with engineering to deliver root-cause workflows across LLM chains/agents (what changed, where time/cost is spent, which step fails, which prompt/template/model version regressed).
Drive adoption with internal teams through discovery, pilots, documentation, and ongoing enablement.
Define and track success metrics (coverage, time-to-first-trace, regressions caught pre-prod, MTTR, cost anomalies detected early).
Partner with Privacy/Security to establish safe logging and retention guidance that supports both compliance and debuggability.

2+ years of experience as a Product Manager, Technical Product Manager, or equivalent product ownership role.
Familiar with ML and AI development flows, and comfortable reasoning about LLM application patterns (prompting, RAG/agents, evaluation basics).
Aware of LLM evaluation approaches (golden datasets, regression testing, human-in-the-loop review, LLM-as-a-judge).
Comfortable partnering with engineers on technical tradeoffs and system design, even if you are not writing production code.
Strong product fundamentals: discovery, prioritization, roadmap communication, and stakeholder alignment.
Metrics-oriented and pragmatic; you can define outcomes and iterate based on evidence.