Technical Product Manager Jobs in Santa Clara, CA
Technical Product Manager jobs in Santa Clara are concentrated in the Central Expressway corridor, the Great America Parkway district, and the Mission College area, where semiconductor, cloud infrastructure, and enterprise software companies run deep product and engineering teams. Employers hiring right now include NVIDIA, Amazon Web Services, and ServiceNow. See the openings below and apply to the ones that match your experience.
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NVIDIA is pioneering the next generation of Physical AI, enabling intelligent systems to understand, reason about, and act in the physical world. We are looking for a Senior Technical Product Marketing Manager to build the go-to-market strategy for NVIDIA Cosmos Framework, an open-source framework that helps developers build and customize world foundation models for Physical AI.
In this role, you will position Cosmos Framework as an open foundation that complements partner technologies and helps model builders—including world model, world action model, and open-model teams—develop and extend their own models. You will show how developers, robotics teams, autonomous-system innovators, AI researchers, and simulation partners can use the framework to experiment with, train, post-train, customize, evaluate, and optimize Physical AI models while integrating with diverse simulators, data pipelines, and robotics platforms. You will combine hands-on technical expertise with strategic product marketing to translate sophisticated model-development capabilities into clear developer value. Working across product management, engineering, research, developer relations, solution architects, business development, worldwide sales, corporate marketing, analyst relations, public relations, investor relations, and ecosystem partners, you will support and amplify partner-led Day 0 launches, drive developer awareness, and accelerate adoption and ecosystem growth for both partner technologies and Cosmos Framework.
What you'll be doing:
- Own technical product marketing and developer go-to-market for NVIDIA Cosmos Framework!
- Define the framework's positioning, messaging, value proposition, developer personas, adoption journeys, interoperability story, and launch strategy, establishing Cosmos Framework as an open-source foundation that complements partner technologies and helps teams develop, customize, and integrate Physical AI models.
- Help world model, world action model, and open-model builders succeed and expand adoption across robotics teams, autonomous-system developers, AI research organizations, and simulation partners through programs spanning setup, experimentation, training, post-training, customization, adaptation, evaluation, benchmarking, optimization, and integration with data and simulation workflows.
- Support partner-led Day 0 launches for world-model and open-model companies, collaborating on joint positioning, integration mentorship, technical quick starts, reference workflows, demos, workshops, sample applications, and launch assets that showcase partner technology and accelerate adoption from the first day of availability.
- Build open-source adoption and joint go-to-market programs that help world-model and open-model builders reach developers through GitHub, Hugging Face, developer communities, research organizations, cloud and AI infrastructure companies, robotics companies, simulation partners, and model-development platforms.
- Partner with product management, engineering, research, and developer relations to improve documentation, onboarding, usability, and developer experience, translating developer feedback, community signals, and adoption data into product and roadmap recommendations.
- Define success metrics for developer activation, repeat usage, community engagement, ecosystem integrations, and framework adoption.
- Coordinate NVIDIA's support for partner-led launches across developer relations, solution architects, business development, worldwide sales, corporate marketing, analyst relations, public relations, and investor relations. Represent NVIDIA Cosmos Framework with developers, researchers, customers, partners, analysts, and industry leaders.
What we need to see:
- Bachelor's or master's degree in Computer Science, Artificial Intelligence, Robotics, Engineering or equivalent experience. MBA preferred.
- 8+ years of experience in technical product marketing, product marketing, product management, developer relations, software development, or a related developer-platform role!
- Prior hands-on experience in software development, machine learning engineering, developer advocacy, technical product management, or a similarly technical role, with understanding of Python, PyTorch, model training and post-training, evaluation workflows, GitHub, containers, and accelerated computing.
- Experience building go-to-market and adoption strategies for open-source AI frameworks, models, SDKs, APIs, or developer platforms.
- Working directly with open-source maintainers, contributors, developer communities, and ecosystem partners.
- Develop technically credible content and hands-on developer experiences and use adoption metrics and community feedback to improve positioning, onboarding, and product strategy.
- Ability to translate sophisticated model-development capabilities into clear developer and business value.
- Outstanding written, verbal, and presentation skills for developer, research, business, and executive audiences. Lead cross-functional initiatives across product management, engineering, research, developer relations, business development, marketing, and executive partners.
Ways to stand out from the crowd:
- Hands-on experience building, adapting, or evaluating world models, world action models, vision-language-action models, diffusion models, or multimodal foundation models.
- Experience with NVIDIA Cosmos, NVIDIA NeMo Framework, PyTorch, Hugging Face, CUDA, or comparable open AI frameworks.
- Contributions to open-source AI or robotics projects as a maintainer, contributor, technical author, or community leader. Working across world-models, simulation, robotics, autonomous-vehicle, or embodied-AI ecosystems, with a track record of building partner-first developer programs.
We have some of the most forward-thinking, highly motivated and hardworking people in the world at NVIDIA. Are you a product professional who loves a challenge? Join our Product team and help us build the future.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 4, and 184,000 USD - 287,500 USD for Level 5.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 183+ Technical Product Manager Jobs in Santa Clara
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Find JobsTechnical Product Manager Job Market in Santa Clara
Who's Hiring
- NVIDIA86

- Amazon Web Services43

- ServiceNow22

- Applied Materials22

- Palo Alto Networks11

Top Industries Hiring
- Technology & Software
- Distribution & Wholesale
Technical Product Manager Jobs in Santa Clara: Frequently Asked Questions
How do I get a technical product manager job in Santa Clara?
Focus your search on Santa Clara's semiconductor, cloud infrastructure, and enterprise software employers, which cluster along Great America Parkway, the Central Expressway corridor, and around Mission College. Hands-on experience with APIs, hardware-software integration, or platform architecture gives candidates a real edge here. Engaging with product and engineering communities at local meetups tied to Silicon Valley's chip and cloud ecosystems also puts you in front of the hiring managers who fill these roles.
Which companies hire technical product managers in Santa Clara?
Employers hiring technical product managers in Santa Clara right now include NVIDIA, Amazon Web Services, and ServiceNow, based on current listings on Migrate Mate as of November 2026. Santa Clara's employer base skews heavily toward established technology companies in semiconductors, networking hardware, and cloud platforms rather than early-stage startups.
Are there remote technical product manager jobs in Santa Clara?
Yes, though technical product manager roles that involve hardware reviews, lab coordination, or embedded engineering collaboration tend to require on-site presence. About 67% of technical product manager openings tied to Santa Clara are remote or hybrid as of November 2026, with flexibility concentrated in platform, data, and enterprise software product management rather than in chip or hardware-facing roles.
How can I get a technical product manager job in Santa Clara with little or no experience?
The most realistic entry path in Santa Clara is moving from a technical role, such as software engineer, systems analyst, or QA engineer, into an associate or junior product manager position at one of the city's mid-size semiconductor or enterprise software companies. Many Santa Clara employers value internal candidates with engineering context over outside applicants with general product experience alone. Building familiarity with technical specifications, API documentation, or hardware product cycles strengthens any application for entry-level openings here.
Which industries hire the most technical product managers in Santa Clara?
The sectors hiring the most technical product managers in Santa Clara are Technology & Software and Distribution & Wholesale, based on current listings on Migrate Mate as of November 2026. Santa Clara's position as the geographic center of Silicon Valley means its hiring is driven by companies building foundational technology, from chip design to cloud networking infrastructure, rather than consumer-facing applications.
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