Product Manager, AI Platform
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- Define the platform customer, value proposition and golden path
- Turn primitives into a usable, measurable developer platform
- Scale a governed platform with reliable economics and ecosystem leverage
Benchmark: Google Cloud Vertex AI platform product leadership + Microsoft CoreAI / AI Platform + Capital Group enterprise AI platform PM + Ridgeline AI quality-platform PM signals (current Sep 2026) Current bar: platform strategy and segmentation; developer journeys; APIs/SDKs and self-service; model, RAG, agent and inference primitives; evals/observability; enterprise governance; multi-tenancy, quotas and SLOs; unit economics; ecosystem/GTM; adoption and measurable developer/customer outcomes.
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Define the platform customer, value proposition and golden path
Platform strategy, personas + jobs-to-be-done
Coverage: Developer / data scientist / enterprise-builder personas / use-case portfolio / platform boundaries / roadmap
AI platform primitives + architecture fluency
Coverage: Models / inference / RAG / embeddings / agents / tools / MCP / APIs / data and identity boundaries
Turn primitives into a usable, measurable developer platform
Developer experience, APIs/SDKs + self-service
Coverage: API contracts / SDKs / console / docs / templates / model catalog / playground / onboarding / platform adoption
Evals, observability + quality feedback loops
Coverage: Offline-online evals / traces / regression gates / experiments / latency / cost / quality dashboards
Scale a governed platform with reliable economics and ecosystem leverage
Reliability, multi-tenancy + platform economics
Coverage: SLOs / quotas / rate limits / capacity / routing / caching / model mix / chargeback / unit cost / FinOps
Governance, ecosystem + GTM/adoption
Coverage: IAM / tenant isolation / data policy / safety / marketplace-connectors / partners / pricing-packaging / enablement
Role-Readiness Proof / Capstone
Complete a 5-day AI Platform PM Lab: interview three builder personas; define platform boundaries and a golden path; write the platform strategy and API/SDK requirements; map model, RAG, agent, MCP, identity and data primitives; prototype the developer journey; define eval, observability and SLO dashboards; model quotas, capacity and per-task economics; specify governance and tenant controls; prioritize a roadmap; then deliver pricing/packaging, adoption/GTM and an executive investment memo.
Proof Rubric
- Show platform rather than feature thinking: clear internal/external customers
- reusable primitives and explicit platform boundaries
- credible API/SDK and DX judgment
- measurable eval/reliability evidence
- security and governance by design
- defensible model/capacity/cost economics
- multi-tenant and failure-mode awareness
- adoption and ecosystem metrics
- roadmap tradeoffs
- and evidence that the platform reduces builder time-to-value while improving quality, safety and operating leverage