Data Product Manager Jobs in Santa Clara, CA
Data Product Manager jobs in Santa Clara are in high demand, concentrated in the Central Expressway corridor, the Lawrence Expressway tech cluster, and the Santa Clara Square area across semiconductor, cloud infrastructure, and enterprise software sectors. Employers hiring right now include AMD, NVIDIA, and Everpure. Find a role that fits below and apply directly.
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We're building a new generation of data center CPUs at NVIDIA — Vera, Grace, and future designs purpose-built for accelerated computing and the workloads defining infrastructure. Data analytics is one of the highest-value arenas for CPU performance, and we need someone to own NVIDIA's strategy and value proposition there! This role sits at the nexus of go-to-market, software architecture, platform architecture, performance measurement, and competitive positioning — making it a true workload strategy role, not a benchmark-running one. From TPC-H and TPC-DS methodologies to collaborative solutions with the world's leading database and analytics vendors, the scope is broad and the impact is real. We're looking for a product manager who deeply understands how CPUs win in practice and can turn that insight into roadmap decisions, customer proof points, and field-ready positioning.
What you'll be doing:
- Taking responsibility for the workload and market approach for data analytics and data processing on NVIDIA data center CPUs — identifying priority workloads, customer scenarios, and the benchmarks and proof points that should guide the roadmap.
- Leading the complete lifecycle of benchmarks like TPC-H and TPC-DS: methodology, cluster and benchmarking architecture, competitive analysis, and market positioning.
- Translating disk, cache, memory, I/O, clustering, availability, and software behavior into concrete CPU, platform, and system requirements. Then advising architecture and platform teams on what to build and why.
- Building the quantitative value proposition across performance, infrastructure, software licensing, power, and TCO to position NVIDIA CPUs against challenging architectures.
- Working alongside external ISVs, database and analytics vendors, cloud providers, and strategic customers to verify requirements and build joint solutions and go-to-market approaches.
- Redefining benchmark results and customer evidence into product decisions, competitive reactions, customer proof points, and field enablement materials.
What we need to see:
- 12+ years of experience in technical product management, performance engineering, or a closely related area.
- BS or MS in Computer Science, Electrical or Computer Engineering — or equivalent experience.
- Comprehensive, practical knowledge of CPU and database performance.
- Understanding of system hardware characteristics that influence analytics performance — caching and clustering methods, high availability, memory and I/O sensitivity, and architectural trade-offs.
- Ability to influence platform and architecture teams by translating workload performance into product, platform, and feature requirements.
- Experience collaborating with external ISVs, silicon vendors, or the broader analytics ecosystem.
Ways to stand out from the crowd:
- Hands-on experience with TPC-H, TPC-DS, or comparable data analytics benchmarks, including methodology development and measurement.
- Understanding of the disk, cache, and memory sensitivities of database and analytics workloads at scale.
- Experience with market entry strategies, solution presentation, or the wider data analytics provider and cloud environment.
- Background in accelerated computing platforms or data center CPU product launches.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.See All 133+ Data Product Manager Jobs in Santa Clara
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Find Data Product Manager JobsData Product Manager Job Market in Santa Clara
Who's Hiring
- AMD40

- NVIDIA27

- Everpure27

- ServiceNow27

- Marvell Technology13

Data Product Manager Jobs in Santa Clara: Frequently Asked Questions
How do I get a data product manager job in Santa Clara?
Focus your search on semiconductor companies, cloud platform teams, and enterprise software vendors concentrated near the Central Expressway corridor and Santa Clara Square. Employers here favor candidates who can translate complex data pipelines into product decisions, so demonstrating experience with data governance, metrics frameworks, or ML-adjacent product work gives you a clear edge. Connecting with product teams at local tech campuses and applying to roles that cross data engineering and business strategy is the most effective approach in this market.
Which companies hire data product managers in Santa Clara?
Employers hiring data product managers in Santa Clara right now include AMD, NVIDIA, and Everpure, based on current listings on Migrate Mate as of November 2026. Santa Clara's employer base skews heavily toward semiconductor giants, cloud infrastructure firms, and enterprise technology companies with large internal data platforms.
Are there remote data product manager jobs in Santa Clara?
Yes, though most data product manager roles tied to Santa Clara's semiconductor and hardware-adjacent teams require some on-site collaboration. About 100% of data product manager openings tied to Santa Clara are remote or hybrid as of November 2026, with fully remote options appearing most often in cloud software and analytics platform teams rather than in chip design or embedded systems product organizations.
How can I get a data product manager job in Santa Clara with little or no experience?
The most realistic entry path in Santa Clara is moving laterally from a data analyst or business intelligence role within one of the city's large tech or semiconductor firms, where internal transfers into product are common. Entry-level associate product manager programs at cloud and enterprise software companies based in Santa Clara offer structured onboarding. Building fluency with SQL, product metrics, and roadmap tooling, and targeting companies with established APM programs or data platform teams, positions you well for that first role.
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