AI Factory Partnerships Lead - OEM & Infrastructure Alliances
Lead partnerships to create integrated AI factory solutions with a focus on OEM and infrastructure alliances.
Posted by employer 1 day ago
First seen on Joblaze 5 hours ago
Last verified on the company career page 5 hours ago
Skills & Technologies
What you'll build
- Bundle construction
- Build alliances across the stack
- Define the reference bundle with Fireworks
- Build and execute the joint GTM plan
- Drive deals end to end
Must have
- 10+ years in enterprise infrastructure
- Key relationships inside at least two of: Dell, HPE, NVIDIA, AMD
Nice to have
- Background selling into on-prem or sovereign AI deployments
- Familiarity with LLM inference economics
Requirements
- Experience
- 10+ years
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Joblaze summary
The AI Factory Partnerships Lead at Fireworks AI is responsible for creating and managing strategic alliances with OEMs and silicon partners to develop a pre-integrated AI factory solution. This role requires extensive experience in enterprise infrastructure, particularly in building joint offerings, and familiarity with the AI factory stack. Ideal candidates will have a strong network within companies like Dell, HPE, and NVIDIA, and a background in integrated offerings. Fireworks AI, a rapidly growing Series D company, emphasizes collaboration and innovation in the AI infrastructure space.
Joblaze insights
- Listed today — first seen on Joblaze September 26, 2026. Last confirmed on Fireworks AI's careers page September 26, 2026.
- AI/ML appears in 24.4% of 385 comparable lead sales/marketing roles in United States; Partnerships appears in 0.8% of 385 comparable lead sales/marketing roles in United States.
Quick facts
- How much experience is required?
- At least 10 years of relevant experience for this AI Factory Partnerships Lead - OEM & Infrastructure Alliances role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI factory, AI/ML, OEM, Partnerships, infrastructure.
- What seniority level is this role?
- Fireworks AI targets lead candidates for this position.
- Is this full-time or contract?
- Full-time for this AI Factory Partnerships Lead - OEM & Infrastructure Alliances role at Fireworks AI.
From the original posting
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.
Standard company text repeated across Fireworks AI's postings is omitted here.