← coreweave / Associate Product Manager
tailored_resume_v2 / art_6904Cl1O6Yg
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What changed for coreweave
| change | why it matters |
|---|---|
| Kaiser Permanente elevated to lead the Experience section | It is the strongest direct analog to the JD — multi-datacenter capacity planning, monitoring-as-a-service, and operational infrastructure platform ownership maps precisely to DCIM/BMS/operational visibility requirements |
| Kaiser Permanente role title reframed to 'Infrastructure & Data Center Operations Platforms' | Accurately reflects the datacenter capacity planning and monitoring platform work; signals direct relevance to CoreWeave's DC technology PM role |
| Kaiser bullets rewritten to foreground capacity planning, real-time visibility, system-of-record strategy, and uptime/incident response | These are the JD's core success metrics (MTTR/MTBF, capacity utilization, telemetry coverage) — Kaiser's work directly maps |
| Intuit reordered second; Asterias asset lifecycle management bullet promoted to second position | Asset lifecycle management is a named JD requirement; Asterias is the strongest direct proof point and needed to be visible early |
| Intuit ICE scale bullet leads the role (675M engagements, 50K TPS, sub-25ms) | JD requires experience in high-stakes environments with strict uptime constraints; hyperscale infrastructure metrics establish credibility immediately |
| Intuit drift detection bullet reframed as 'configuration lifecycle management and compliance discipline' | Maps to JD's asset lifecycle, maintenance compliance, and standardized playbooks requirements |
| Splunk role reframed to 'Search Orchestration & Infrastructure Platforms' | Emphasizes infrastructure platform ownership; 10x performance improvement reframed as MTTR/reliability KPI improvement |
| Streamio condensed to 2 bullets; real-time telemetry pipeline bullet leads | JD values real-time telemetry and BMS/SPoG experience; HLS/WebSocket pipeline is the most relevant Streamio proof point |
| Fintellect condensed to 1 bullet focused on data models and AI-driven automation | Low DC relevance; retained for AI product experience signal but space-constrained |
| aeval project promoted to lead the Projects section | TimescaleDB + Redis + real-time KPI dashboard is the closest analog to DCIM/BMS telemetry and portfolio-level visibility requirements |
| Summary rewritten to lead with multi-datacenter capacity planning credential | JD's first hard requirement is data center/infrastructure PM experience; Kaiser's capacity planning work is the strongest opening credential |
| Summary embeds: 'asset lifecycle management', 'telemetry-driven observability', 'operational efficiency', 'data- and AI-driven solutions', 'KPIs', 'iterative delivery discipline' | These are exact or near-exact key_phrases from the JD; embedding them naturally signals fit without fabrication |
| IBM bullet reframed to emphasize incident response and MTTR improvement | JD explicitly lists MTTR/MTBF as a KPI to define and track; IBM's escalation resolution work maps accurately |
| Section order: Experience → Projects → Education → Teaching → Additional | Standard order appropriate for this infrastructure PM role; projects demonstrate technical depth relevant to CoreWeave's AI/GPU context |
JD analysis (20 key phrases)
Key phrases: data center technology platformsDCIMCMMS/EAMBMS/SPoGasset lifecycle managementoperational excellencereal-time visibilitypredictable capacity deliverybuild, buy, or extend decisionsend-to-end product lifecycleMTTR/MTBFtelemetry coveragecapacity utilizationdigital twinportfolio-level visibilitysystem-of-recordworkforce productivityuptime and incident responsemaintenance planningiterative, scalable platforms
Hard requirements:
- 8+ years product management in data center, infrastructure, or industrial environments
- Proven DCIM product delivery experience
- At least two of: CMMS/EAM, BMS/SPoG, construction management, lifecycle/portfolio management
- Data- and AI-driven product experience
- Technical fluency in data models, APIs, integrations, analytics
- Strong PM fundamentals: user research, PRDs, KPI design, roadmap execution
- Cross-functional stakeholder alignment across operations, engineering, corporate
- Experience in high-stakes environments with uptime, safety, capital constraints
Preferred qualifications:
- Hands-on with Sunbird/Modius (DCIM), Ignition (BMS/SPoG), Hexagon CMMS/EAM, Procore/SiteTracker/Primavera
- Familiarity with ISO 22237, ISO 22301, SOC 2
- Digital twins, 3D visualization, real-time telemetry in mission-critical environments
- Multi-site rollouts, system migrations, large-scale operational transformations
Per-role mapping (10 roles scored)
| role | score | reframe angle | JD phrases that map |
|---|---|---|---|
| Intuit — Staff PM Developer Frameworks & Platform Infrastructure | 4/5 | Mission-critical infrastructure platform at hyperscale — asset lifecycle management, telemetry-driven prioritization, operational efficiency, and scalable platform delivery | asset lifecycle management, real-time visibility, telemetry coverage, operational excellence, iterative scalable platforms, system-of-record, portfolio-level visibility, capacity utilization, end-to-end product lifecycle |
| Splunk — Senior PM Search Orchestration | 4/5 | Infrastructure platform PM in high-stakes enterprise environment — performance optimization, structured prioritization, and rapid delivery | end-to-end product lifecycle, MTTR/MTBF, build buy or extend decisions, uptime and incident response, iterative scalable platforms |
| Kaiser Permanente — SOA Technical PM | 4/5 | Data center-adjacent infrastructure platform PM — monitoring-as-a-service, capacity planning across datacenters, enterprise-scale operational systems | predictable capacity delivery, capacity utilization, real-time visibility, operational excellence, uptime and incident response, maintenance planning, portfolio-level visibility, MTTR/MTBF |
| Streamio AI — Founder & CEO | 2/5 | Real-time data pipeline and AI automation — minimal relevance; condense to 2 bullets emphasizing telemetry and AI-driven workflows | real-time visibility, data and AI-driven solutions |
| Fintellect AI — Founder & CEO | 1/5 | AI product experience; minimal DC relevance — condense to 1 bullet | data and AI-driven solutions |
| IBM — Software Engineer | 2/5 | High-severity incident response and cross-functional resolution — brief mention | uptime and incident response, MTTR/MTBF |
| Bank of America — Tech MBA Associate | 1/5 | Capital constraint and portfolio modeling — 1 bullet only | capital constraints |
| RL Workbench Project | 2/5 | GPU infrastructure and AI workload benchmarking — shows CoreWeave customer empathy | data and AI-driven solutions, telemetry coverage |
| aeval Project | 2/5 | Operational data platform with real-time telemetry and KPI tracking | telemetry coverage, KPIs, real-time visibility |
| BRAIN Protein Structure Prediction | 1/5 | Technical depth signal; keep brief | — |
Tailored summary
Technical Product Manager with 12+ years delivering mission-critical infrastructure platforms at scale — from capacity planning across multi-datacenter environments at Kaiser Permanente to scaling a high-throughput platform to 675M+ engagements and 50K TPS at Intuit. Proven track record owning end-to-end product lifecycles for asset lifecycle management, telemetry-driven observability, and operational efficiency platforms across complex cross-functional stakeholder environments. Experienced building data- and AI-driven solutions with defined KPIs, structured prioritization frameworks, and iterative delivery discipline. NeurIPS published; BS Computational Engineering, UC Berkeley; MS Software Management, Carnegie Mellon.