tailored_resume_v2 / art_tImAqyRGkOg
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What changed for airbnb
| change | why it matters |
|---|---|
| Summary rewritten to lead with 675M+ engagements and 275% YoY growth on consumer platform | JD's first requirement is consumer marketplace scale and measurable growth impact |
| Intuit role retitled to 'Consumer Platform & Engagement Infrastructure' and reordered bullets to lead with 675M engagements | JD prioritizes consumer marketplace scale; ICE platform is the strongest proof point |
| Intuit bullet 4 reframed to link ICE Presence revenue to 'core bookings-equivalent growth' | JD explicitly calls out 'core guest and bookings growth' as a success metric |
| Streamio AI reframed as 'AI-Powered Consumer Discovery Platform' with real estate listing discovery analogy to Airbnb | JD values entrepreneurial track record and AI-powered browsing/discovery tools; Redfin/Zillow integration is directly analogous to Airbnb listing discovery |
| Fintellect AI condensed to 2 bullets emphasizing RAG relevance pipeline and consumer go-to-market | JD calls out relevance models and product narrative/go-to-market; condensed to save space |
| Splunk retitled to 'Search & Discovery' and reframed around discovery product ownership | JD owns a discovery surface; Search Catalog/SPL maps directly to discovery infrastructure |
| aeval project moved to lead the projects section | Relevance model evaluation is most directly applicable to Airbnb's AI-powered ranking/discovery investment |
| AutoEval and Deep Learning Education Platform projects removed | Space constraint; lower relevance to consumer discovery PM role vs. aeval and RL Workbench |
| Summary embeds 5 JD key phrases: 'discovery', 'marketplace', 'AI technologies', 'relevance', '0 to 1' | Phase 4 formula — mirror JD language where experience genuinely matches |
| Kaiser and IBM condensed to 1-2 bullets each | Lower relevance to consumer discovery PM role; space optimization for 2-page target |
JD analysis (15 key phrases)
Key phrases: homepage and discoveryguest experiencebrowsing tools with the latest AI technologiesrelevance modelsdiscovery features and content formatscore guest and bookings growthlifecycle and growth marketing campaignsproduct vision, strategy, and roadmapcross-functional partnersmarketplace dynamicsmeasurable objectives and key resultsentrepreneurial track recordconsumer productsexecutive leadership alignmentproduct narrative
Hard requirements:
- 8+ years product management experience
- Consumer product experience with marketplace dynamics at global scale
- Cross-functional and executive leadership alignment
- Data-driven product strategy and business analysis
- AI/ML integration into product experience
- Product roadmap ownership across multiple business verticals
- Entrepreneurial track record — idea to reality
Preferred qualifications:
- Experience with discovery/browsing product surfaces
- Marketing collaboration and lifecycle campaigns
- Product narrative and external communication
- Relevance models and personalization
- Fast-paced execution as individual contributor
Per-role mapping (10 roles scored)
| role | score | reframe angle | JD phrases that map |
|---|---|---|---|
| Intuit — Staff PM, Developer Frameworks & Platform Infrastructure | 5/5 | Consumer platform at marketplace scale — frame ICE as a discovery/engagement platform driving cross-product growth, emphasize 675M engagements, OKR ownership, and executive alignment | product vision, strategy, and roadmap, measurable objectives and key results, cross-functional partners, executive leadership alignment, core guest and bookings growth, marketplace dynamics |
| Streamio AI — Founder & CEO | 4/5 | Entrepreneurial track record — AI-powered consumer product built from zero, with discovery and recommendation features; frame real estate vertical as analogous to Airbnb's listing discovery | entrepreneurial track record, browsing tools with the latest AI technologies, discovery features, consumer products |
| Fintellect AI — Founder & CEO | 3/5 | AI-powered consumer marketplace product with relevance/recommendation engine; condense to 2 bullets emphasizing RAG/relevance and consumer go-to-market | relevance models, consumer products, entrepreneurial track record |
| Splunk — Senior PM, Search Orchestration | 3/5 | Search and discovery product ownership — frame SPL/Search Catalog as discovery infrastructure; emphasize performance optimization and data-driven prioritization | discovery features, relevance models, measurable objectives and key results |
| Kaiser Permanente — SOA Technical PM | 2/5 | Platform scale and data-driven capacity/demand planning; condense to 1-2 bullets | marketplace data, cross-functional partners |
| IBM — Software Engineer | 1/5 | Keep 1 bullet for completeness; frame as customer-facing problem solving | — |
| Bank of America Merrill Lynch — Tech MBA Associate | 2/5 | Keep 1 bullet; frame as data-driven business analysis | business analysis |
| RL Workbench Project | 2/5 | Condense; signals AI technical depth relevant to relevance models | latest AI technologies |
| aeval Project | 2/5 | Frame as AI quality measurement infrastructure relevant to relevance model evaluation | relevance models, latest AI technologies |
| BRAIN — Protein Structure Prediction | 2/5 | Lead projects with RL Workbench; BRAIN demonstrates ML depth and NeurIPS credibility | latest AI technologies |
Tailored summary
Consumer product leader with 12+ years driving discovery, engagement, and marketplace growth at scale — including 675M+ engagements and 275% YoY growth on Intuit's cross-product consumer platform spanning QuickBooks, TurboTax, Mint, and Credit Karma. Proven track record of shipping AI-powered consumer products from 0 to 1, building executive and cross-functional alignment, and incorporating the latest AI technologies — from multi-agent orchestration to RAG-based relevance pipelines — to elevate browsing and discovery experiences. NeurIPS published researcher; UC Berkeley Engineering + CMU MBA.