Level

NVIDIA

Global Account Manager, Developer Relations - Google

AI in this role

Drive integration of NVIDIA software libraries and AI models across major developer ecosystems like Google Cloud and DeepMind.

jaxnvidia-cudatensorflowpytorch
ai-agentsai-researchdeveloper-relationsaccount-managementtechnical-supportpartnership-management

As a Global Account Manager, Developer Relations, you'll be responsible for 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 Alphabet — including Google Cloud, Google DeepMind, and Waymo — to drive the integration of NVIDIA's libraries, open models, and frameworks into their 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 Google 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, models, and frameworks throughout business, product, and engineering groups

  • Work closely with the NVIDIA account and technical teams on product and engineering integration priorities and coordination

  • Accelerate critical workloads by showcasing and incorporating the NVIDIA software stack into partner products, platforms, and pipelines. Support the partner 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 strong relationships with executive and technical collaborators across partner organizations — from C-suite sponsors to the developers building production software

  • Advocate for NVIDIA software among the partner’s technical leaders, architects, and developer groups, encouraging early adoption of tools, libraries, SDKs, models, and blueprints

  • Identify unique integration opportunities to deliver differentiated solutions and compelling value propositions — particularly in agentic workflows, data processing and model optimization

  • Champion partner’s needs and perspectives within NVIDIA, influencing product strategy, roadmap and go-to-market initiatives

  • Act 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 success

  • Collaborate with GTM teams including marketing and cosell teams to incubate partnerships, deliver early joint wins with key LHAs and highlight joint successes

What 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, large-scale distributed training, GPU-accelerated query processing and data pipelines, and/or vector search

  • Deep 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 them

  • Proven ability to structure and implement complex technical engagements, negotiate requirements, prioritize issues, and collaborate with internal and external partners across sales, legal, product, and marketing teams

  • Exceptional 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 partners

  • Experience influencing partner product roadmaps

Ways to stand out from the crowd:

  • MBA, MS, or PhD in computer science, electrical engineering, or a related field

  • Hands-on experience with NVIDIA software libraries, frameworks, and models (e.g., CUDA-X, NVIDIA Agent Toolkit, CUTLASS, CuTeDSL, cuDNN, NCCL, CUPTI, cuVS, cuDF, nvCOMP, Dynamo, Triton, TRT-LLM, TensorRT, Nemotron, Cosmos, NeMo Framework, NeMo RL, NeMo Gym, Megatron-Core, Megatron Bridge).  Familiarity with JAX and XLA training stacks at scale.

  • Experience engaging with AI Research organizations

  • Expertise in building frameworks to capture developer sentiment and market shifts, translating real-time ecosystem dynamics into actionable intelligence for industry strategy and product rationalization

  • Deep experience working at or alongside Alphabet — Google Cloud, Google DeepMind, or Waymo

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 October 2, 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.

How we rate this

Global Account Manager, Developer Relations - Google at NVIDIA rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI AgentsAI ResearchDeveloper RelationsAccount ManagementTechnical SupportPartnership ManagementJaxNvidia Cuda

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Tell me about a research question you investigated. What did you find?
  3. Tell me about a project where developer relations was part of your work. What did you do?
  4. Tell me about a project where account management was part of your work. What did you do?
  5. Tell me about a project where technical support was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI Agents, AI Research, Developer Relations, Account Management, and Technical Support. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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