← dealpath / Senior Product Manager, AI
tailored_resume_v2 / art_Lc9voAVsid4
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What changed for dealpath
| change | why it matters |
|---|---|
| Summary rewritten to lead with real estate AI agents and agentic/MCP/RAG experience | JD's top requirements are AI product shipping, agentic systems, MCP, and RAG — candidate has all three via Streamio and Fintellect |
| Streamio bullets reordered to lead with Redfin/Zillow real estate CMA agent bullet | JD is a real estate investment platform; direct real estate AI workflow automation is the strongest proof point and should be first |
| OpenClaw bullet reframed to emphasize MCP SDK, agentic systems, and build-vs-buy decision-making | JD explicitly requires working knowledge of MCP and agentic systems; candidate has production implementation |
| Streamio monetization bullet retained and reframed | JD bonus points include experience developing monetization strategies for AI products |
| Fintellect RAG pipeline bullet leads the Fintellect section | RAG pipelines is a hard JD requirement; ChromaDB + multi-LLM orchestration is the strongest technical proof point from that role |
| Fintellect investment workflow bullets reframed to map to 'deal lifecycle' language | JD explicitly calls out deal lifecycle from sourcing to asset management; Fintellect's investment AI maps directly |
| aeval project moved to lead the Projects section | JD explicitly requires building and maintaining AI evals to validate model performance; aeval is the most direct proof point |
| Intuit title adjusted to 'Platform Infrastructure & Developer Experience' (accurate scope) | Removes 'Developer Frameworks' framing less relevant to Dealpath; emphasizes enterprise SaaS platform scale |
| Intuit section condensed to 4 bullets; SDK/language assessment bullets cut | Developer tooling specifics are low-relevance to Dealpath AI role; scale metrics and business outcomes retained |
| Real Estate Broker/Sales Agent license surfaced as first Additional Information bullet | JD bonus points include real estate experience; this credential directly signals domain fluency to a real estate investment platform |
| Speaking engagements (DeveloperWeek, .conf18/.conf19) grouped with publications in Additional Information | JD requires external thought leadership including speaking at industry events; candidate has established track record |
| Bank of America bullet reframed to emphasize investment portfolio modeling | JD bonus points include private equity/investment management experience; Monte Carlo simulation on $494M portfolio signals quantitative investment domain fluency |
| AutoEval and Deep Learning Education Platform projects cut | Space constraint; robotics eval and textbook demos are lowest relevance to real estate investment AI role |
JD analysis (20 key phrases)
Key phrases: AI product roadmapagentic systemsRAG pipelinesMCPAI evalsmodel qualityhuman calibrationvibe codingproof of conceptsdeal lifecyclereal estate investmentend-to-end executionthought leadershipenterprise clientsbuild-vs-buy decisionscross-functional collaborationmodel in development to a feature in productioncontinuous improvementhuman in the loopAI strategy
Hard requirements:
- 8+ years product management with meaningful AI product shipping
- Experience working alongside ML engineers on AI evals and model improvement
- Ability to prototype and vibe-code AI proof-of-concepts
- Working knowledge of LLMs, RAG pipelines, agentic systems, MCP
- Experience with human-in-the-loop AI products and feedback loops
- Enterprise client engagement and expectation setting
- External thought leadership (webinars, content, speaking)
- Ability to distill complex AI into executive-ready narratives
- SF or NYC office 3+ days/week
Preferred qualifications:
- Experience in real estate, private equity, or investment management
- Background in enterprise SaaS, collaboration software, or data visualization
- Experience developing monetization strategies for AI products
Per-role mapping (7 roles scored)
| role | score | reframe angle | JD phrases that map |
|---|---|---|---|
| Streamio AI — Founder & CEO | 5/5 | Lead with real estate AI agents and MCP/agentic systems; position as hands-on AI product builder with direct real estate workflow automation experience | agentic systems, MCP, real estate investment, proof of concepts, end-to-end execution, AI product roadmap, human in the loop |
| Fintellect AI — Founder & CEO | 4/5 | Position as investment-domain AI product with RAG + multi-LLM orchestration — maps to deal lifecycle AI and investment workflow automation | RAG pipelines, agentic systems, deal lifecycle, enterprise clients, AI evals, build-vs-buy decisions |
| Intuit — Staff Product Manager | 3/5 | Enterprise SaaS platform scale and cross-functional execution; de-emphasize developer tooling specifics, emphasize scale and data-driven prioritization | enterprise SaaS, cross-functional collaboration, end-to-end execution, continuous improvement |
| Splunk — Senior Product Manager | 3/5 | Enterprise SaaS data platform experience; customer-focused delivery with measurable performance outcomes | enterprise clients, end-to-end execution, continuous improvement, cross-functional collaboration |
| Kaiser Permanente — SOA Technical PM | 2/5 | Condense to 1-2 bullets emphasizing enterprise scale and platform thinking | enterprise clients |
| IBM — Software Engineer | 1/5 | Single bullet, keep for tenure and enterprise BI credibility | — |
| Bank of America Merrill Lynch — Tech MBA Associate | 2/5 | Lead with investment portfolio modeling to signal finance/investment domain fluency | real estate investment, deal lifecycle |
Tailored summary
AI Product Leader with 12+ years shipping AI-powered products across real estate, investment, and enterprise SaaS — including agentic systems with MCP, RAG pipelines, multi-LLM orchestration, and RL post-training workbenches. Built and shipped real estate AI agents (Redfin/Zillow CMA automation) and domain-specific investment AI from 0 to 1, with hands-on experience building AI evals, diagnosing model failures, and driving human-in-the-loop feedback loops from prototype to production. Scaled enterprise platforms to 675M+ engagements at Intuit; NeurIPS published researcher.