AI Factory Partnerships Lead - OEM & Infrastructure Alliances

1 мес. назад

320k–350k USD / годСШАLeadHybrid

go-to-marketpricingalliance management

Lead partnerships and alliances to define and launch a pre-integrated AI factory bundle with OEMs and silicon partners.

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, powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
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.
AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.

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 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.
Bundle construction
Build alliances across the stack
Define the reference bundle with as the serving and orchestration layer
Validate joint architectures with 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

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)

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