← figma / Product Manager, AI Platform
tailored_resume_v2 / art__x_NsvV0Qh8
↓ Download .docx ↓ Download .pdf PDF requires LibreOffice installed
What changed for figma
| change | why it matters |
|---|---|
| Summary rewritten to lead with AI platform infrastructure and developer systems credentials | JD's first requirement is deeply technical PM experience on AI platform and developer tooling — 675M+ engagements and MCP/agent work are the strongest proof points |
| Streamio role title reframed to 'AI Agent Platform' | JD explicitly calls out AI agent systems and MCP servers as core platform pillars; reframe surfaces the most relevant scope accurately |
| Streamio bullets reordered: OpenClaw multi-agent framework and MCP SDK integration lead | Figma's agent infrastructure and MCP server integration are named platform areas; these are the strongest proof points |
| aeval project moved to lead the Projects section | Figma's eval platform pillar is a named ownership area; aeval is the most direct proof of eval platform methodology and infrastructure |
| Intuit bullets reordered: 675M+ scale and SDK tooling lead | JD values enterprise-scale platform and developer tooling; these are the highest-relevance Intuit proof points |
| Intuit drift detection bullet reframed as 'continuous quality infrastructure' | Mirrors JD's 'continuous quality' pillar language accurately — drift detection is a quality enforcement mechanism |
| Fintellect RAG/LLM orchestration reframed as 'build-vs-buy decision-making across frontier model providers' | JD explicitly names 'build-vs-buy calls' and 'frontier model integration' as core platform strategy responsibilities |
| Splunk role title reframed to include 'Developer Platform' | SPL/SPL2 and Go microservices are programmable developer-facing interfaces — surfaces relevance to JD's developer systems pillar |
| Bank of America role removed from experience section | Zero relevance to AI platform or developer tooling; space better used for high-relevance content within 2-page target |
| IBM condensed to single bullet emphasizing engineering foundation | Low direct relevance but validates hands-on technical fluency credential the JD requires; kept per anti-pattern rule |
| Teaching condensed to single bullet | Low relevance to this role; space optimization for 2-page target while preserving section per formatting rules |
| Deep Learning Education Platform project removed | Lower relevance than the four retained projects; space optimization for 2-page target |
JD analysis (20 key phrases)
Key phrases: AI platformdeveloper systemsAI agent systemscode generationeval platformcontinuous qualityfrontier modelsMCP serverscontext platformbuild-vs-buyplatform strategydeveloper toolingsystems thinkingagent infrastructurehands-on technical fluencyproduction codebasesenterprise customersplatform capabilitiesarchitecture decisionsprogrammable interfaces
Hard requirements:
- 8-10 years product management experience on highly technical products
- Proven experience shipping developer tools, infrastructure products, or AI-powered technical systems
- Experience with AI agent systems, code generation tools, or programmable interfaces
- Hands-on technical fluency — built and shipped things personally
- Strong systems thinking across complex components
- Track record driving strategy and execution in ambiguous, fast-moving areas
- Ability to distill highly technical concepts into clear decisions
Preferred qualifications:
- Familiarity with modern frontend frameworks, deployment pipelines, or cloud infrastructure
- Experience scaling platform capabilities across multiple product teams
- Experience launching enterprise-scale products
Per-role mapping (11 roles scored)
| role | score | reframe angle | JD phrases that map |
|---|---|---|---|
| Streamio AI — Founder & CEO | 5/5 | AI agent infrastructure and MCP-powered developer platform builder | MCP servers, AI agent systems, programmable interfaces, developer systems, hands-on technical fluency, agent infrastructure |
| Fintellect AI — Founder & CEO | 3/5 | Multi-provider AI services integration and context platform design | frontier models, context platform, AI agent systems, build-vs-buy |
| Intuit — Staff PM | 5/5 | Enterprise AI platform infrastructure and developer tooling at scale | developer tooling, platform strategy, platform capabilities, enterprise customers, developer systems, build-vs-buy, scaling platform capabilities across multiple product teams |
| Splunk — Senior PM | 4/5 | Distributed search infrastructure and developer-facing platform systems | developer systems, continuous quality, platform strategy, systems thinking |
| Kaiser Permanente — SOA Technical PM | 2/5 | Enterprise-scale platform infrastructure | enterprise customers, platform capabilities |
| IBM — Software Engineer | 2/5 | Engineering foundation underpinning PM technical depth | hands-on technical fluency |
| Bank of America — Tech MBA Associate | 1/5 | Quantitative analytical foundation | — |
| RL Workbench | 4/5 | Eval platform and continuous quality infrastructure | eval platform, continuous quality, deployment pipelines |
| aeval — AI Model Evaluation Platform | 5/5 | Eval platform and continuous quality infrastructure — lead project | eval platform, continuous quality, code generation, deployment pipelines, hands-on technical fluency |
| AutoEval — Robot Model Training | 3/5 | Automated eval infrastructure | eval platform, continuous quality, AI agent systems |
| BRAIN — Protein Structure Prediction | 3/5 | ML platform engineering depth and research credibility | hands-on technical fluency, AI platform |
Tailored summary
Technical Product Manager with 12+ years building AI platform infrastructure and developer-facing systems at scale — from shipping developer SDKs and DevPortals at Intuit (675M+ engagements, 50K TPS) to building MCP-integrated AI agent orchestration frameworks and eval platforms from scratch. Hands-on builder: production TypeScript/React apps, multi-agent gateway protocols, and a local-first eval platform with CI/CD regression detection and automated safety gates. NeurIPS published researcher with deep systems thinking across distributed infrastructure, frontier model integration, and continuous quality methodology.