Global Account Manager, Developer Relations - Amazon

As a Global Account Manager, Developer Relations, you'll own the technical charter for advancing integration of NVIDIA's libraries, models, and frameworks across one of our largest and most strategic partners. You will work with product teams across NVIDIA and Amazon to drive the integration of NVIDIA's libraries, open models, and frameworks into Amazon’s platforms, aligning with their long-term business and technical goals. This highly visible position aligns with our product organization to deliver joint solutions that move the needle and with our enterprise go-to-market (GTM) organization to drive mutual success.The ideal candidate brings an outstanding blend of Amazon ecosystem fluency, a deep passion for developer advocacy, and strong technical account management experience. What you’ll be doing:Drive adoption of NVIDIA software libraries, open models, and frameworks throughout business, product, and engineering groupsWork closely with the NVIDIA account and technical teams on product and engineering integration priorities and coordinationAccelerate critical workloads by showcasing and incorporating the NVIDIA software stack (libraries, models, SDKs, NIMs, and blueprints) into partner products, platforms, and pipelines. Support Amazon in integration by connecting NVIDIA's DevTech, SA, Developer Relations, and Product engineering teams to boost adoption and promote collaborative development of next-generation solutions.Engage NVIDIA technical leaders to guide integrations and resolve technical challenges. Use regular syncs to track adoption, identify new workflows, and relay field insights to product teams.Build positive relationships with executive and technical collaborators across partner organizations — from C-suite sponsors to the developers building production softwareAdvocate for NVIDIA software among the partner’s technical leaders, architects, and developer groups, encouraging early adoption of tools, libraries, SDKs, models, and blueprintsIdentify unique integration opportunities to deliver differentiated solutions and compelling value propositions — particularly in agentic workflows, data processing and model optimizationChampion partner’s needs and perspectives within NVIDIA, influencing product strategy, roadmap and go-to-market initiativesAct as NVIDIA's PIC (Pilot in Command) to lead and influence cross-functional teams — including product management, engineering, solutions architects, marketing, and ecosystem teams — ensuring partnership successCollaborate with GTM teams including marketing and cosell teams to incubate partnerships, deliver early joint wins with key LHAs and highlight joint successesWhat we need to see:Bachelor's or Master's degree in Computer Science, Engineering, Electrical Engineering, or a similar field (or equivalent experience)12+ years of overall professional experience in the technology industry in developer relations, product management, technical partnerships, business development, or solutions architecture, including 3+ years of hands-on experience in applying accelerated computing to production workloads - inference serving and optimization, AI/ML/agentic software development, recommender systems and ads ranking, data processing, vector search, and/or robotics simulationDeep understanding of Hyperscalers platform ecosystems — first-party (1P) services and PaaS offerings, data processing platforms, inference platforms, agentic workflows/frameworks, model catalogs/gardens — and the software stack that runs themProven ability to structure and execute complex technical engagements, negotiate requirements, prioritize issues, and collaborate with internal and external partners across sales, legal, product, and marketing teamsExceptional ability to distill complex technical concepts and articulate value propositions to audiences ranging from developers to C-suite executives, with end-to-end experience defining, integrating, building, and bringing solutions to market with strategic customers and/or ISV partnersExperience influencing partner product roadmapsWays to stand out from the crowd:MBA, MS, or PhD in computer science, electrical engineering, or a related fieldHands-on experience with NVIDIA software libraries, frameworks, and models (e.g., Nemotron, Cosmos, NeMo Framework, CUDA-X, NVIDIA Agent Toolkit, cuVS, cuDF, NIM, Dynamo, Triton, TRT-LLM, Isaac Sim, Isaac Lab, OSMO)Familiarity with JAX and XLA training stacks at scaleExpertise in building frameworks to capture developer sentiment and market shifts, translating real-time ecosystem dynamics into actionable intelligence for industry strategy and product rationalizationDeep experience working at or alongside Amazon.With competitive salaries and a generous benefits package, we are widely considered to be one of the world’s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous person with a real passion for technology, 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 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until August 7, 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.SummaryLocation: US, CA, Santa Clara; US, Remote; US, WA, SeattleType: Full time