AI Factory Partnerships Lead - OEM & Infrastructure Alliances
Fireworks AI is hiring an AI Factory Partnerships Lead - OEM & Infrastructure Alliances for a remote role open to applicants in United States. It pays $320k-$350k a year and Level rates it ; you can apply on Fireworks AI.
Level's read on this job
- On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting lists this role as remote.
- Tools and skills the posting cites include PyTorch, Nvidia and Amd.
- Level classifies it as a lead role.
- Level lists 90 other open roles at Fireworks AI.
AI in this role
Lead OEM and infrastructure partnerships to package and scale AI factory solutions and pre-integrated bundles.
About Us:
Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
About the role
Enterprises are standing up AI factories: full-stack, on-prem and colocated deployments of compute, networking, storage, and models. Today they assemble that stack themselves and figure out the software layer on their own.
We're hiring a Partnerships Lead to collapse it into a single, pre-integrated bundle. You'll assemble alliances across OEMs (Dell, HPE, and others), silicon (NVIDIA and others), packaged with Fireworks as the operating system on top.
You'll own the bundle definition, joint pricing, go-to-market plan end to end, from first alliance conversation to repeatable revenue. The playbook doesn't exist yet. You'll write it: which OEM to lead with, how to structure the commercial stack, and what the joint reference architecture looks like. If you want to define the AI factory category rather than inherit one, this is the role.
What you'll own
Bundle construction
Build alliances across the stack
Define the reference bundle with Fireworks as the serving and orchestration layer
Validate joint architectures with Fireworks engineering
Structure and negotiate the commercial agreements
Go-to-market and execution
Build and execute the joint GTM plan: ICP, field plays, targets
Enable field sellers on joint offering
Drive deals end to end with partner sellers and own the forecast
You're a good fit if you have
10+ years in enterprise infrastructure, with at least one joint offering you built and scaled
Key relationships inside at least two of: Dell, HPE, NVIDIA, AMD, or equivalent OEM
Understand the AI factory stack
Experience in integrated offerings (appliance or validated design programs)
Nice to have
Background selling into on-prem or sovereign AI deployments, where the customer runs the hardware and the vendor runs the software
Familiarity with LLM inference economics: throughput per GPU, utilization, and why the software layer determines the ROI of the whole bundle
Why Fireworks?
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
How we rate this
AI Factory Partnerships Lead - OEM & Infrastructure Alliances at Fireworks AI 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.
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
Questions you could be asked
- What's a project where you used PyTorch hands-on?
- Walk me through how you've used Nvidia in your day-to-day work.
- What are the limits of Amd that you've run into, and how did you work around them?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: PyTorch, Nvidia, and Amd. 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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