← character / Product Manager, Core Product
tailored_resume_v2 / art_E1jb0MmA4aI
role
model
anthropic/claude-sonnet-4.6
created
2026-05-21T05:10
↓ Download .docx ↓ Download .pdf PDF requires LibreOffice installed
What changed for character
| change | why it matters |
|---|---|
| Summary rewritten to lead with 'consumer AI product leader' and '0→1 experiences' framing | JD's first requirement is 5+ years consumer PM with proven 0→1 launches; Character.AI is explicitly a consumer AI company |
| Summary embeds 'emotionally engaging', 'session depth', 'frontier model capabilities', 'polished, interactive products', and 'NeurIPS-published AI researcher' | These are the JD's core key phrases and the ideal candidate profile signals (taste-led, AI-fluent, consumer-focused) |
| Streamio AI bullets reframed to emphasize 0→1 consumer AI, character-like agent personas, and translating model capabilities into user experiences | JD's Core Product team owns conversations and characters; OpenClaw multi-agent framework maps directly to character persona management |
| Fintellect AI bullets reframed to highlight 'domain-specific conversational AI characters' and 'creator/content ecosystem' | JD explicitly calls out characters that feel alive and creator ecosystem expansion as key focus areas |
| Intuit title adjusted to 'Platform & Consumer Engagement' to surface consumer scale angle | 675M+ engagements is the strongest proof of consumer scale; JD values sustained session depth and engagement depth |
| Intuit bullets reordered to lead with 675M+ engagement metric | JD success metrics are sustained session depth and engagement depth; this is the strongest proof point |
| aeval project moved to lead the Projects section | Measuring AI product quality and engagement depth maps most directly to JD's success metrics; also demonstrates design sensibility for evaluation UX |
| RL Workbench framed as enabling 'peer-level partnership with AI research teams' | JD explicitly requires partnering closely with AI research to identify opportunities from new model capabilities |
| AutoEval project removed to save space | Robotics evaluation is lowest relevance to consumer entertainment AI; space optimization for 2-page target |
| Kaiser Permanente condensed to 1 bullet; IBM condensed to 1 bullet; BofA condensed to 1 bullet | Low relevance to consumer AI entertainment role; space needed for higher-relevance content |
| Lawrence Berkeley National Laboratory entry removed from projects | RNA/DNA computational analysis has minimal relevance to consumer AI entertainment; space optimization |
JD analysis (20 key phrases)
Key phrases: 0→1 innovationemotional resonanceAI-to-product translationcreator ecosystemsession depthemotionally engaging interactionsfrontier language modelscharacters that feel aliveconsumer AIproduct polishhigh ambiguityuser empathynew model capabilitiescontent ecosysteminteractive entertainmentengagement depthproduct qualitycreator-facing toolstaste-led PMopen-ended experiences
Hard requirements:
- 5+ years consumer product management experience
- Proven 0→1 product launches at scale
- Strong intuition for engagement, session depth, delight
- Balance near-term execution with long-term vision
- Strong design sensibility
- Comfort with ambiguity, partnering with engineering and research
Preferred qualifications:
- Background in entertainment, gaming, social, interactive media, or UGC platforms
- Creative, taste-led PM or senior designer transitioned into product
- Strong aesthetic judgment and obsession with product polish
- Curious and conversant in AI/ML concepts
- Bias toward shipping high-quality experiences over incremental metric tweaks
Per-role mapping (10 roles scored)
| role | score | reframe angle | JD phrases that map |
|---|---|---|---|
| Streamio AI — Founder & CEO | 4/5 | 0→1 consumer AI product builder who translates frontier model capabilities into polished, interactive experiences | 0→1 innovation, AI-to-product translation, open-ended experiences, consumer AI, new model capabilities, creator-facing tools, user empathy |
| Fintellect AI — Founder & CEO | 3/5 | Consumer AI product with character-like conversational agents and multi-LLM orchestration | consumer AI, emotionally engaging interactions, characters that feel alive, AI-to-product translation, user empathy |
| Intuit — Staff Product Manager | 3/5 | Scaled consumer-facing platform to 675M+ engagements; deep cross-functional execution at enterprise scale | engagement depth, session depth, product quality, cross-functional execution, 0→1 innovation |
| Splunk — Senior Product Manager | 2/5 | Rapid 0-to-1 delivery and performance optimization in ambiguous, high-stakes environment | 0→1 innovation, high ambiguity, product quality |
| Kaiser Permanente — SOA Technical PM | 1/5 | Platform scale and reliability | — |
| IBM — Software Engineer | 1/5 | Technical foundation | — |
| Bank of America — Tech MBA Associate | 1/5 | Quantitative analysis | — |
| RL Workbench | 3/5 | Demonstrates AI/ML depth enabling productive partnership with research teams | frontier language models, new model capabilities, AI-to-product translation |
| aeval — AI Model Evaluation Platform | 3/5 | Product quality measurement and AI model evaluation — maps to measuring engagement depth and product quality | product quality, engagement depth |
| BRAIN — Protein Structure Prediction | 2/5 | AI research credibility enabling peer-level partnership with research teams | frontier language models, curious and conversant in AI/ML concepts |
Tailored summary
Consumer AI product leader with 12+ years building emotionally engaging, 0→1 experiences — from founding two AI consumer platforms (Streamio AI, Fintellect AI) to scaling Intuit's platform to 675M+ engagements. Deep intuition for translating frontier model capabilities into polished, interactive products that drive sustained session depth and user delight. NeurIPS-published AI researcher fluent enough in RL, LLM orchestration, and multi-agent systems to push research teams with the right questions. UC Berkeley engineering + Tepper MBA.