Senior Product Manager, AI Platform

Senior Product Manager, AI Platform

Onsite, Mountain View

The Role

We’re hiring a Senior Product Manager to lead a flagship developer-facing surface of the GMI Cloud platform.

You’ll sit at the intersection of Inference Engine, MaaS, and GTM, translating raw infrastructure capability into a developer experience that drives activation, retention, and revenue. This person will own the area end-to-end: vision, roadmap, GTM partnership, metrics, and the developer narrative that goes with it.

What We’re Looking For

Experience

• 5 years in Product Management, with at least 2 years on developer-facing or infrastructure products

• Track record shipping 0→1 platform products that developers actually adopted at scale

• Background in cloud infrastructure, developer tools, API platforms, serverless compute, or AI/ML platforms

• Bonus: experience at a fast-moving infra startup where you owned a product surface end-to-end

Domain Fluency (AI Infra & Agentic Era)

• Strong working understanding of LLMs, multimodal models, and inference workflows (latency, throughput, cost-per-token, time-to-first-token, cold-start behavior)

• Familiar with the modern AI developer stack — model APIs, SDKs (Python/TypeScript), evals, RAG patterns, orchestration tooling

• Conversant in the agent-era infrastructure shift — you understand why agentic workloads stress traditional cloud primitives differently, and what “agent-native” infrastructure means in practice (stateful execution, programmatic environments, parallel execution paths, snapshotting, computer use, RL workloads)

• Power user of modern AI tools — you build with them daily and stay current on AI/LLM trends without being told to

• Have shipped or contributed to a developer playground, sandbox, SDK, runtime, or API product

Product Craft

• Sharp instincts for developer experience (DX) — you know the difference between a 3-step quickstart that converts and a 7-step one that doesn’t

• Equally strong instincts for agent experience (AX) — designing APIs, SDKs, and abstractions that machines and humans both consume cleanly

• Comfortable owning a PLG funnel end-to-end: activation, engagement, expansion, conversion

• Fluent with usage-based / consumption-driven monetization models — you can reason about pricing, free tiers, usage triggers, and free-to-paid conversion

• Can move fluidly between API design reviews, growth experiments, pricing analysis, and customer interviews

• Fluent with the metrics that matter: activation rate, time-to-first-value, retention, token usage growth, expansion revenue, NRR

Cross-Functional Leadership

• Can translate infra complexity into a simple developer story — and a clear business narrative for the exec team

• Strong collaborator across infra engineering, design, DevRel, marketing, and enterprise sales

• Comfortable supporting technical sales motions and partnering with forward-deployed engineers on enterprise deals

• Can hold the line on product quality and DX standards while shipping at startup pace

Mindset

• Builder-first. You’d rather ship a v0.1 this week than a perfect spec next month

• Genuinely excited about shaping AI infrastructure at the moment the category is being defined

• Comfortable in fast-moving, ambiguous environments where the roadmap reshapes itself every quarter

• Bonus: active on GitHub, X/Twitter, or have shipped side projects with LLMs / agent frameworks