Global Account Manager, Developer Relations - Meta
NVIDIA is hiring a Global Account Manager, Developer Relations - Meta in Santa Clara, United States. It pays $224k-$357k a year and Level rates it ; you can apply on NVIDIA.
Level's read on this job
- Level rates this sales role Works on AI ●●●○: the daily work is on AI products, without building the model.
- The listed pay starts 60% above the typical sales posting on Level.
- Tools and skills the posting cites include OpenAI, vLLM and PyTorch.
- Level classifies it as a senior role.
- Level lists 2,700+ other open roles at NVIDIA.
AI in this role
As a Global Account Manager, Developer Relations, you'll be responsible for the technical charter for expanding integration of NVIDIA's libraries and frameworks across one of our largest and most strategic partners. You will work with teams across NVIDIA and Meta to drive the integration of NVIDIA's libraries and frameworks into Meta’s platforms, aligning with their long-term business and technical goals. This highly visible position works with our product and engineering organization to deliver joint solutions that move the needle, and extends that impact through the technologies and projects the partner stewards.
The ideal candidate brings an outstanding blend of Meta ecosystem and large-scale AI infrastructure proficiency, a deep passion for developer advocacy, and strong technical account management experience.
What you’ll be doing:
Drive adoption of NVIDIA software libraries and frameworks across business, product, engineering, and research teams
Work closely with the NVIDIA account, developer relations, solutions architecture, and developer technology teams on product and engineering integration priorities and coordination
Accelerate critical workloads by demonstrating and integrating the NVIDIA software stack into partner products, platforms, and pipelines. Guide and support the partner in integration by bringing NVIDIA's developer technology, engineering, solutions architecture and product resources to accelerate adoption and foster co-engineering of next-generation solutions
Engage technical leaders to drive best-practice integrations and resolve technical challenges, using regular syncs to track adoption, surface new workflows, and channel critical field insights back to NVIDIA 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 within partner’s executive leadership, architect, research and developer communities, driving early adoption of new tools, libraries, frameworks, and SDKs
Identify integration opportunities to deliver differentiated solutions and unique value propositions — particularly in inference optimization, model training, recommender systems, kernel-level performance, and data processing
Champion partner’s needs and perspectives within NVIDIA, influencing product strategy and roadmap
Act as NVIDIA's PIC (Pilot in Command) to lead cross-functional teams — including product management, engineering, solutions architects, developer relations, marketing, legal, sales, and ecosystem teams — ensuring partnership success
Grow adoption of NVIDIA libraries and frameworks upstream in the open-source projects the partner maintains and contributes to, and support downstream adoption across the ecosystem
What we need to see:
Bachelor's degree in Computer Science, Engineering, Electrical Engineering, or a related field, or a Master's degree or equivalent experience
12+ years of overall professional experience in the technology industry in developer relations, product management, technical partnerships, business development, solutions architecture, or systems and performance engineering, including 3+ years of direct hands-on experience in inference serving and efficiency improvements, machine learning model development, recommendation algorithms and ranking at scale, GPU kernel development, AI/ML software development, or data processing
Deep understanding of large-scale AI infrastructure — frontier model training and inference platforms, recommender and ranking systems, data processing platforms — and the software stack that runs them
Technical depth sufficient to engage partner research and performance engineering teams as a peer — able to reason about model architecture, kernel and attention implementations, distributed training and inference, and performance tradeoffs
Consistent record to structure and drive progress of complex technical engagements, negotiate requirements, prioritize issues, and collaborate with internal and external stakeholders 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 partners or open-source communities
Experience influencing partner product roadmaps
Ways to stand out from the crowd:
MBA or MS or PhD in computer science, electrical engineering or similar field
Familiarity with NVIDIA software libraries and platforms (e.g., CUDA-X, CUTLASS, CuTeDSL, cuEmbed, cuVS, cuDF, cuEquivariance, NCCL, NVSHMEM, NIXL, NVTrust, NVAttestation, TRT-LLM)
Contributor or maintainer standing in the open -source projects partners run in production — PyTorch, OpenAI Triton, vLLM, SGLang, Faiss, Presto/Velox
Experience engaging AI research organizations - publications, upstream contributions, or co-authored performance work
Deep experience working at or alongside Meta
With attractive compensation 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 other objective job-related factors. The expected base salary ranges for this position are: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 November 3, 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 - Meta at NVIDIA rates 71 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.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in sales jobs at this level
Pay
- This job starts at
- $224k
- Typical sales job
- $140k
This posting starts 60% above the typical sales job. See sales jobs
Questions you could be asked
- Tell me about a research question you investigated. What did you find?
- Walk me through how you've used OpenAI in your day-to-day work.
- What are the limits of vLLM that you've run into, and how did you work around them?
- What's a project where you used PyTorch hands-on?
- Describe a typical day in a role like this one: which parts run through AI directly?
Adapt your resume
- List these exact terms on your resume: AI Research, OpenAI, vLLM, and PyTorch. 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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