This role pays more than
92%
of similar roles. Most pay
$177,250–$219,725
— the shaded band above.
At the midpoint, this role pays about
$268k
versus about
$198k
for comparable roles.
Based on 240 similar postings.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
1391 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 1116 roles with salary data.
Senior Product Manager, Agent Optimization joins the applied research engineering team to lead the research-to-product pipeline for agent optimization. This role focuses on improving agent quality, cost efficiency, and safety by managing projects involving large-scale trace datasets, custom evals, and continual learning. You will drive product strategy, define roadmaps, and establish quality bars while collaborating with research and engineering teams to transform findings into open source tools. Key responsibilities include defining developer experiences, building adoption motions with marketing and solution teams, and translating market feedback into technical requirements. The role requires expertise in agent architectures, observability, evaluation design, and automated experimentation techniques. You will solve complex problems regarding how agents are diagnosed and improved across the industry by managing partnerships, identifying qualified workloads, and creating repeatable playbooks for tools that enhance reliability and usability within the AI ecosystem.
What does a Product Manager earn in California?
Median $221750 from 282 postings across 51 companies.
Drive product strategy and roadmaps for agent optimization projects within the research-to-product pipeline.
Translate new research findings and technical techniques into usable products and features.
Define developer experience and product interfaces for open source tools in your portfolio.
Manage partner engagements to turn market feedback into specific research directions and capabilities.
Develop adoption playbooks and messaging for agent optimization with marketing and GTM teams.
Establish success metrics across research results, product performance, and open source adoption.
Decide which projects to scale, change, stop, or incubate based on evidence and outcomes.
What we're looking for
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.
Proven track record of turning ambiguous research or emerging technical capabilities into adopted products through partnerships, 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 while guiding GTM teams through zero-to-one projects.
Evidence-driven product approach grounded in reproducible benchmarks and explicit success criteria.
Excellent written and verbal communication skills to align senior technical and business leaders.
Experience with agent infrastructure, AI observability, or developer tooling at a frontier lab or startup (preferred).
AI Inference
TensorRT-LLM
vLLM
SGLang
NVIDIA Dynamo
Triton Inference Server
Quantization
Speculative Decoding
KV Caching
LLM
Deep Learning
Generative AI
Benchmarking
Capacity Planning
Autoscaling