← gleanwork / Product Manager, Enterprise Intelligence
tailored_resume_v2 / art_mDrtM0PK0uw
role
model
anthropic/claude-sonnet-4.6
created
2026-06-03T20:49
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What changed for gleanwork
| change | why it matters |
|---|---|
| Summary rewritten to lead with enterprise platform intelligence at scale (675M+ engagements, 30+ SKUs) and RAG/retrieval/agentic AI credentials | JD's first requirement is enterprise intelligence product ownership with technical fluency in retrieval, knowledge graphs, and structured/unstructured data |
| Intuit reordered to lead experience section and reframed as 'Platform Intelligence & Developer Infrastructure' | Intuit is the strongest proof point for enterprise context layer, organizational visibility, telemetry-driven prioritization, and measurable business impact at scale — all core JD requirements |
| Intuit bullets reordered: Asterias (enterprise context layer) and telemetry/BigQuery bullets moved to positions 2–3 | JD explicitly calls out 'enterprise context layer,' 'knowledge graph,' and 'structured and unstructured data' — Asterias and telemetry work are the closest analogues |
| Fintellect AI reordered before Streamio AI in experience section | Fintellect's RAG retrieval pipeline, domain agents, and analytics dashboards map more directly to Glean's enterprise intelligence product (retrieval, proactive insights, dashboards) than Streamio's streaming infrastructure |
| Fintellect bullets reframed to explicitly mirror JD language: 'enterprise context and retrieval layer,' 'proactive, context-aware advisory interactions,' 'structured and unstructured data,' 'actionable intelligence' | JD key phrases directly match what Fintellect built; accurate reframing maximizes perceived fit |
| Streamio AI condensed to 3 bullets focused on OpenClaw multi-agent orchestration, real estate domain agents, and 0-to-1 product strategy | Streaming/HLS infrastructure bullets are low-relevance to enterprise intelligence PM role; agentic orchestration and customer discovery are the relevant proof points |
| Splunk reframed as 'Search & Intelligence Platform' with retrieval and structured/unstructured data language leading | Glean's core is enterprise search and retrieval; Splunk search ownership is the strongest historical analog and should be framed in JD language |
| aeval project moved to lead the projects section | aeval's evaluation platform (factuality, reasoning, safety, CI/CD intelligence gates) most directly demonstrates enterprise intelligence product thinking with measurable quality standards — a JD priority |
| IBM and BofA condensed to single bullets each | Low relevance to enterprise intelligence PM role; space optimization for higher-relevance content while maintaining role continuity |
| Kaiser Permanente condensed to 2 bullets emphasizing enterprise-scale data intelligence and cross-functional stakeholder service | 1.7TB daily volume / 200+ enterprise customers is relevant enterprise scale signal; capacity planning details are low-relevance |
JD analysis (20 key phrases)
Key phrases: enterprise intelligenceenterprise context layerproactive, contextual insightsknowledge graphagentic capabilitiesstructured and unstructured dataactionable workflowsdashboards and recommendationsambiguous opportunity spacegranular product implementationproduct strategy and roadmapcross-functional partnerscustomer-focused prioritizationorganizational visibilityproduct craftAI fluencyenterprise SaaS connectorsretrievalWork AI platformmeasurable business impact
Hard requirements:
- 5+ years product management experience
- B2B SaaS / enterprise software / AI products / analytics / workflow-intelligence platforms
- Track record of owning and shipping meaningful product areas
- Strong product sense for translating ambiguous problems into clear product experiences
- Technical fluency with engineering and data teams on structured/unstructured data, knowledge graphs, retrieval, intelligence layers
- Granular product thinking: UI behavior, interaction models, adoption sequencing
- Comfort operating in highly ambiguous spaces
- Excellent written and verbal communication
- Cross-functional collaboration
Preferred qualifications:
- Deep interest in AI and enterprise software
- Experience with proactive intelligence / analytics products
- Early AI adopter in own product craft
- Ability to shape product team and roadmap at lean startup scale
- Customer discovery and go-to-market collaboration
Per-role mapping (7 roles scored)
| role | score | reframe angle | JD phrases that map |
|---|---|---|---|
| Streamio AI — Founder & CEO | 3/5 | 0-to-1 agentic AI product builder with multi-agent orchestration and customer discovery experience | agentic capabilities, proactive, contextual insights, actionable workflows, customer-focused prioritization, product strategy and roadmap |
| Fintellect AI — Founder & CEO | 3/5 | Enterprise intelligence analog: RAG-powered context layer + domain agents + analytics dashboards | retrieval, structured and unstructured data, actionable workflows, dashboards and recommendations, proactive, contextual insights, enterprise context layer |
| Intuit — Staff Product Manager | 5/5 | Enterprise platform intelligence at scale: telemetry-driven prioritization, organizational visibility, measurable productivity impact across 30+ product SKUs | enterprise context layer, organizational visibility, measurable business impact, actionable workflows, cross-functional partners, product strategy and roadmap, structured and unstructured data, dashboards and recommendations |
| Splunk — Senior Product Manager | 4/5 | Enterprise search and intelligence platform PM: retrieval systems, metadata services, query performance, Fortune 500 customer prioritization | retrieval, structured and unstructured data, enterprise software, product strategy and roadmap, measurable business impact, customer-focused prioritization |
| Kaiser Permanente — SOA Technical Product Manager | 2/5 | Enterprise-scale data platform and analytics product management | enterprise software, structured and unstructured data |
| IBM — Software Engineer | 1/5 | Enterprise BI and cross-functional execution foundation | enterprise software |
| Bank of America Merrill Lynch — Tech MBA Summer Associate | 1/5 | Quantitative analytics foundation | — |
Tailored summary
Enterprise AI product leader with 12+ years shipping intelligence platforms at scale — from owning Intuit's platform context layer across 675M+ engagements and 30+ product SKUs, to building RAG retrieval pipelines, multi-agent orchestration frameworks, and proactive AI workflows as a founder. Deep technical fluency across knowledge retrieval, structured and unstructured data, LLM orchestration, and agentic AI. Proven track record translating ambiguous enterprise intelligence opportunities into concrete product experiences with measurable business impact. NeurIPS published researcher; MS Software Management, Carnegie Mellon.