← snowflake / Senior Product Manager - AI Migrations
tailored_resume_v2 / art_xnm70yfwuY8
role
model
anthropic/claude-sonnet-4.6
created
2026-06-18T16:32
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What changed for snowflake
| change | why it matters |
|---|---|
| Summary rewritten to lead with 'data platform migrations' and 'GenAI-powered products' | JD's core mission is AI-powered migrations; summary must immediately signal fit with both the migration and GenAI dimensions |
| Intuit role reordered to lead with GCP→AWS migration bullet | JD's team is the Migrations team; leading with a concrete cloud migration delivery is the strongest proof point |
| Intuit Drift Detection bullet reframed as 'post-migration validation capability' | JD explicitly calls out post-migration validation as a key technical requirement |
| Intuit title adjusted to include 'Cloud Migration & Data Infrastructure' | Accurately reflects scope and mirrors JD language around data ecosystems and migrations |
| Fintellect moved above Streamio in experience section | Fintellect's RAG/LLM orchestration pipeline is more directly relevant to JD's GenAI/LLM requirement than Streamio's streaming focus |
| aeval project moved to lead the projects section | Post-migration validation and semantic validation are explicit JD requirements; aeval is the strongest analog |
| aeval project name updated to include 'Post-Migration Validation Platform' | Accurately reframes the evaluation platform's capabilities in JD language without fabricating functionality |
| RL Workbench reframed around cross-framework benchmarking as migration validation analog | Framework benchmarking across TRL/VeRL/OpenRLHF/NeMo mirrors validating outputs across data platforms — relevant to JD's validation theme |
| Splunk title adjusted to include 'Data Platform' | JD requires SQL platform and data ecosystem experience; SPL/SPL2 and PostgreSQL ownership is directly relevant |
| IBM and BofA roles condensed to single bullets each | Low relevance to JD; retained for completeness and career narrative but condensed to preserve page budget |
| Deep Learning Education Platform project removed | Lowest relevance to migrations/data platform JD; removed to stay within 2-page target |
JD analysis (20 key phrases)
Key phrases: AI-powered migrationsGenAI-powered engineETL pipelinesdata ecosystemscode translationdeveloper toolspost-migration validationMVP mindsettechnical trade-offsdata-driven decisionsreducing overall customer migration timeagentic enterpriseLLM familiaritypartner ecosystemsfull product lifecyclesemantic validationdata engineeringSQL platformsenterprise product managementhigh-velocity culture
Hard requirements:
- 6+ years enterprise product management
- Full product lifecycle ownership
- Data ecosystems familiarity (databases, SQL, ETL, data engineering)
- Developer tools / APIs / data platform experience
- GenAI / LLM practical exposure
- Cross-functional collaboration (Engineering, Professional Services, Partners)
Preferred qualifications:
- Code translation or semantic validation experience
- LangChain or similar frameworks
- GTM and enablement understanding
- Partner ecosystem (GSIs, Professional Services) experience
- MVP mindset with high-velocity culture
- Metrics-driven decision making
Per-role mapping (10 roles scored)
| role | score | reframe angle | JD phrases that map |
|---|---|---|---|
| Intuit — Staff Product Manager | 5/5 | Enterprise-scale platform migration PM with data-driven developer tooling and cloud migration delivery | ETL pipelines, data ecosystems, developer tools, full product lifecycle, technical trade-offs, data-driven decisions, post-migration validation, SQL platforms, high-velocity culture |
| Splunk — Senior Product Manager | 4/5 | Data platform PM owning SQL-adjacent query language and microservice infrastructure with measurable performance outcomes | SQL platforms, data ecosystems, ETL pipelines, technical trade-offs, full product lifecycle, data-driven decisions |
| Kaiser Permanente — SOA Technical PM | 3/5 | Enterprise data infrastructure PM with large-scale logging and capacity planning | data ecosystems, enterprise product management, technical trade-offs |
| IBM — Software Engineer | 2/5 | Enterprise BI software engineering foundation | data ecosystems, enterprise product management |
| Bank of America Merrill Lynch — Tech MBA Associate | 1/5 | Quantitative analytical foundation | data-driven decisions |
| Streamio AI — Founder & CEO | 3/5 | AI-native founder building GenAI-powered multi-agent orchestration and developer tooling | agentic enterprise, GenAI-powered engine, developer tools, LLM familiarity, MVP mindset |
| Fintellect AI — Founder & CEO | 3/5 | LLM orchestration and AI product builder with multi-provider GenAI pipeline experience | GenAI-powered engine, LLM familiarity, data-driven decisions, MVP mindset |
| RL Workbench Project | 3/5 | Cross-framework benchmarking and validation platform — mirrors post-migration validation | post-migration validation, semantic validation, GenAI-powered engine |
| aeval Project | 4/5 | AI-powered validation and evaluation platform with automated quality gates | post-migration validation, semantic validation, data-driven decisions, GenAI-powered engine |
| BRAIN Project | 2/5 | Production ML platform with published research credibility | GenAI-powered engine, LLM familiarity |
Tailored summary
Enterprise product leader with 12+ years driving data platform migrations, developer tooling, and GenAI-powered products at scale — from owning Intuit's cloud-to-cloud migration (GCP→AWS) and scaling a platform to 675M+ engagements, to building multi-provider LLM orchestration pipelines and automated post-migration validation systems. Proven track record independently running features through the full product lifecycle across SQL platforms, ETL workloads, and data ecosystems. NeurIPS published researcher; AI-native builder with hands-on experience shipping agentic frameworks and GenAI-powered engines.