← baseten / Product Manager, Enterprise
tailored_resume_v2 / art_qSOTYwVyOks
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What changed for baseten
| change | why it matters |
|---|---|
| Summary rewritten to lead with 'enterprise infrastructure PM turning bespoke deal-by-deal gaps into supported, priced capabilities' | JD's core mandate is exactly this: 'turn enterprise readiness from a deal-by-deal scramble into a platform-wide, priced product' |
| Intuit reordered to lead experience section and ICE platform bullet restructured to foreground 'platform-wide capability' and 'supported, priced product' framing | 675M+ engagements / 50K TPS is the strongest enterprise platform scale proof point; JD's key success metric is converting bespoke work into priced capability |
| Intuit GCP-to-AWS migration bullet reframed as 'multi-cloud deployment ownership across regulated enterprise environments' | JD explicitly requires multi-cloud and multi-region deployment experience |
| Intuit MSaaS Drift Detection bullet reframed as 'compliance posture and governance at platform scale' | JD requires compliance posture ownership; drift detection is the closest factual match |
| Kaiser Permanente title reframed to include 'Enterprise Platform Infrastructure' and lead bullet foregrounds healthcare-regulated environment | JD bonus: regulated industries (healthcare); Kaiser is the strongest regulated industry proof point |
| Splunk bullet 2 reframed: '10x performance for Fortune 500 beta customer — turning a deal-blocking requirement into a platform-wide capability' | JD explicitly calls out converting 'deal-blocking requirements from sales' into product |
| Streamio bullets condensed to 3, leading with identity/access controls and usage-based billing | JD hard requirement: shipped SSO/RBAC and usage-based billing; Kinde OAuth + Stripe tiered plans is the factual match |
| Fintellect condensed to 2 bullets, leading with multi-provider LLM orchestration as 'regulated financial services' production model serving | JD bonus: regulated financial services + ML infrastructure experience |
| RL Workbench project moved to lead projects section and explicitly references Baseten Loops | Baseten launched Loops (Training SDK for Frontier RL) May 2026; benchmarking TRL/VeRL/OpenRLHF/NeMo RL is direct technical credibility |
| IBM condensed to 1 bullet reframed as 'credibility with Fortune 500 enterprise buyers built from the engineering side' | JD requires being credible in the room with enterprise buyers; IBM provides engineering-side enterprise credibility with minimal space cost |
| BofA condensed to 1 bullet emphasizing regulated financial services and quantitative rigor | JD bonus: regulated financial services; keeps the role without consuming space |
| Teaching section condensed to 1 bullet combining all courses | Space optimization — teaching is low-relevance for this enterprise PM role; kept for completeness per anti-pattern rules |
JD analysis (20 key phrases)
Key phrases: enterprise-readyenterprise readiness surfacemulti-cloud and multi-region deploymentsSSO/RBACSOC 2/HIPAAVPC/PrivateLinkusage-based billingspend controlscompliance postureidentity and accessdeployment optionssellable, supported capabilitiesdeal-blocking requirementsregulated customersplatform-wide capabilityper-deal exceptionsGTM and Enterprise Engineeringsupported, priced productoperational rigormission-critical inference
Hard requirements:
- 8+ years product management with enterprise or B2B infrastructure depth
- Shipped enterprise readiness surface: multi-cloud/multi-region deployments, SSO/RBAC, SOC 2/HIPAA, VPC/PrivateLink, usage-based billing
- Credible with security, compliance, and procurement buyers
- Think in supported, priced products not per-deal exceptions
- Security, compliance, identity, networking, or billing depth
Preferred qualifications:
- ML infrastructure experience
- Experience selling into or building for regulated industries (healthcare, financial services, government)
- Technical depth — credible with engineers who build it
Per-role mapping (9 roles scored)
| role | score | reframe angle | JD phrases that map |
|---|---|---|---|
| Intuit — Staff Product Manager, Developer Frameworks & Platform Infrastructure | 4/5 | Enterprise platform infrastructure PM who turned bespoke developer pain into supported, priced platform capabilities at Fortune 500 scale — directly maps to Baseten's enterprise readiness mandate | platform-wide capability, supported, priced product, multi-cloud deployments, operational rigor, deal-blocking requirements into product, enterprise readiness surface |
| Splunk — Senior Product Manager, Search Orchestration | 4/5 | B2B infrastructure PM with enterprise customer credibility, shipped production microservices, and drove 10x performance for Fortune 500 accounts — maps to Baseten's enterprise engineering partnership | enterprise or B2B infrastructure, credible in the room with engineers who build it, regulated customers, sellable, supported capabilities |
| Kaiser Permanente — SOA Technical Product Manager | 4/5 | Healthcare-regulated enterprise infrastructure PM — directly maps to Baseten's regulated industry bonus and compliance posture requirements | regulated industries (healthcare), compliance posture, enterprise readiness surface, multi-region deployments, identity and access |
| Streamio AI — Founder & CEO | 3/5 | Builder who shipped identity/access controls and usage-based billing from scratch — demonstrates product thinking on enterprise readiness surface | usage-based billing, identity and access, deployment options, multi-cloud |
| Fintellect AI — Founder & CEO | 3/5 | Built for regulated financial services with production LLM infrastructure — maps to Baseten's regulated industry bonus and ML infrastructure depth | regulated industries (financial services), ML infrastructure experience, mission-critical inference |
| IBM — Software Engineer, Business Intelligence Products | 2/5 | Enterprise software engineering foundation — credibility with Fortune 500 accounts | credible in the room with enterprise buyers |
| Bank of America Merrill Lynch — Tech MBA Summer Associate | 2/5 | Financial services regulated industry exposure | regulated industries (financial services) |
| RL Workbench — Post-Training RL Platform | 4/5 | Hands-on ML infrastructure builder who benchmarked the same RL frameworks Baseten Loops targets — strongest technical credibility signal | ML infrastructure experience, mission-critical inference, technical depth |
| aeval — AI Model Evaluation Platform | 3/5 | Built production ML evaluation infrastructure with safety gates — maps to compliance posture and governance | compliance posture, ML infrastructure experience |
Tailored summary
Enterprise infrastructure PM with 12+ years turning bespoke, deal-by-deal platform gaps into supported, priced capabilities at scale — from Intuit's ICE platform (675M+ engagements, 50K TPS, sub-25ms TP99) to Splunk Cloud's Go microservices and Kaiser Permanente's healthcare-regulated Logging-as-a-Service (1.7 TB/day, 200+ enterprise customers). Shipped identity/access controls, usage-based billing, and multi-cloud deployments; credible with security, compliance, and procurement buyers and with the engineers who build it. Hands-on ML infrastructure builder: RL post-training workbench benchmarking TRL, VeRL, OpenRLHF, and NeMo RL. NeurIPS published.