Senior Product Manager, Agent Optimization

Job not on LinkedIn

🔥 12 hours ago

🏄 California – Remote

🏄 California – Remote

💵 $208k - $379.5k / year

⏰ Full Time

🟠 Senior

✅ Product Manager

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Drive product strategy and roadmaps for portfolio projects • Set priorities, quality bars, and product outcomes with research and engineering teams • Engage agent builders, observability and evaluation tool providers, and partners to secure early-access engagements • Make joint research and integrations successful and turn market feedback into research directions and stronger product capabilities • Translate research findings and techniques into usable products and features • Define developer experience and product interfaces for open source tools • Improve reliability, usability, documentation, benchmark coverage, and interoperability across tools • Build adoption motion with Product Marketing, Solution Architects, and GTM teams • Identify qualified partners and workloads, guide pilots, and create repeatable adoption playbooks • Establish messaging and narrative for agent optimization and continuous improvement loops • Define and inspect evidence of success across research, products, partners, open source adoption, and publications • Own outcomes and decide what to scale, change, stop, or incubate next

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, AI/ML, or a related field, or equivalent experience • 12+ years of product management or closely related experience building technically sophisticated, zero-to-one AI or developer products • Record of turning ambiguous research or emerging technical capabilities into adopted products through partnership motion, integrations, or open source • Technical fluency in agent architectures, observability, evaluation design, and automated experimentation techniques • Ability to engage mature customers and ecosystem partners independently, recruit design partners, uncover production constraints, and guide GTM teams through emerging zero-to-one projects • Positive relationship with Engineering and Research teams; ability to ask sharp questions, convert uncertainty into decisions, and support teams without prescribing implementation • Evidence-driven product approach grounded in reproducible benchmarks, explicit success criteria, and clear judgment about supported claims • Excellent written and verbal communication, portfolio-level prioritization, and ability to align senior technical and business leaders around a clear product narrative • Experience building agent infrastructure, AI observability, evaluation, optimization, or developer tooling at a frontier AI lab or high-caliber startup • Direct experience designing benchmarks, eval systems, experimentation approaches, or contributing to research publications for AI products • Track record with open-source communities, SDKs, platform integrations, or developer ecosystems • Hands-on familiarity building production agents and improving them on quantitative and qualitative dimensions

🏖️ Benefits

• Equity • Comprehensive benefits package