高级产品经理,代理优化
Senior Product Manager, Agent Optimization
NVIDIA 需要一位高级产品经理,负责推动我们针对代理优化的从应用研究到产品的流程。我们的应用人工智能研究工程团队在多个与优化代理相关的领域进行投资,以提升质量、成本效率和安全性。项目包括帮助开发者在大规模追踪数据集中找到关键信号,为生产代理设计可信赖的自定义评估,以及持续学习以改进测试框架和模型行为。管理快速发展的研究和早期合作伙伴协作,打造影响整个行业代理诊断、评估和改进方式的开源工具!
你将负责:
- 为所负责项目的产品策略和相关路线图提供支持。与研究和工程团队一起设定优先级、质量标准和明确的产品成果。
- 直接与代理构建者、可观测性和评估工具供应商及其他合作伙伴合作,获取早期访问合作,确保联合研究和集成成功,并将市场反馈转化为研究方向和更强的产品功能。
- 与工程和研究团队合作,将新发现和新技术转化为可用的产品和功能。
- 为所负责产品组合中的相关开源工具定义开发者体验和产品接口。
- 与工程和相邻产品团队合作,提升可靠性、易用性、文档、基准覆盖范围,以及多种工具之间的协同工作方式。
- 与产品营销、解决方案架构师和上市团队合作,建立采用策略。识别合格的合作伙伴和工作负载,指导试点项目,并创建可重复的采用方案。
- 建立我们团队在代理优化和持续改进循环方面的沟通信息和叙述。与产品营销团队一起明确你所负责产品组合中每个产品的独特价值。
- 定义并审查成功证据,涵盖研究成果、产品成果、合作伙伴成果、开源采用情况和发表成果。负责成果并决定下一步是扩展、调整、停止还是孵化。
我们希望看到:
- 计算机科学、工程、AI/ML 或相关领域的学士或硕士学位,或同等经验。
- 12 年以上产品管理或相关经验,专注于构建技术复杂、从零到一的 AI 或开发者产品。
- 在将模糊的研究或新兴技术能力转化为被采用的产品方面有成功记录。
查看英文原文
NVIDIA needs a Senior Product Manager to lead our applied research-to-product pipeline for agent optimization. Our applied AI research engineering team invests in multiple areas related to optimizing agents for improved quality, cost efficiency, and safety. Projects include helping developers find important signals in large-scale trace datasets, crafting trustworthy custom evals for production agents, and continual learning to improve harness and model behavior. Manage fast paced research and early partner collaborations into open source tools that impact how agents are diagnosed, evaluated, and improved across the industry!
What you’ll be doing:
- Drive the product strategy and relevant roadmaps for specific projects in your portfolio. Set priorities, quality bars, and clear product outcomes together with research & engineering teams.
- Work directly with agent builders, observability and eval tool providers, and other partners to secure early-access engagements, make joint research & integrations successful, and turn market feedback into research directions and stronger product capabilities.
- Partner with engineering & research to translate new findings and techniques into usable products and features.
- Define the developer experience and product interfaces for relevant open source tools in your portfolio.
- Partner with engineering and adjacent product teams to improve reliability, usability, documentation, benchmark coverage, and how multiple tools work together.
- Build the adoption motion with Product Marketing, Solution Architects, and GTM teams. Identify qualified partners and workloads, guide pilots, and create repeatable adoption playbooks.
- Establish the messaging and narrative for how our teams talk about agent optimization and continuous improvement loops. Clarify the distinct value of each product in your portfolio together with Product Marketing.
- Define and inspect the evidence for success across research results, product results, partner outcomes, open source adoption, and publications. Own the outcomes and decide what to scale, change, stop, or incubate next.
What we need to see:
- 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.
- A record of turning ambiguous research or emerging technical capabilities into adopted products through a 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 real production constraints, and guide GTM teams through emerging zero-to-one projects.
- Positive relationship with Engineering and Research teams. Ask sharp questions, convert uncertainty into decisions, and support teams without prescribing implementation.
- An evidence-driven product approach grounded in reproducible benchmarks, explicit success criteria, and clear judgment about which claims the results support.
- Excellent written and verbal communication, portfolio-level prioritization, and the ability to align senior technical and business leaders around a clear product narrative.
Ways to stand out from the crowd:
- 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.
- A track record with open-source communities, SDKs, platform integrations, or developer ecosystems.
- Hands-on familiarity building production agents and successfully improving them on both quantitative and qualitative dimension.
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most hard-working and dedicated people on the planet working for us and, due to unprecedented growth, our Product Management teams are growing fast. If you’re a creative technologist with a genuine passion for these topics, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 208,000 USD - 327,750 USD for Level 5, and 240,000 USD - 379,500 USD for Level 6.You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until October 6, 2026.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.Originally posted on Himalayas