Braun Board

AI Factory Partnerships Lead - OEM & Infrastructure Alliances

Fireworks AI · Hybrid · San Francisco, CA

Base
Not disclosed
OTE
$320K–$350K
Quota attainment
Not disclosed
Posted
1mo ago

Why it matters: OTE tells you what you could earn. Attainment tells you how realistic it is.

Ask: “What percentage of fully ramped reps hit quota last year?”

Still open · checked 2h agoon Fireworks AI's careers page

What Fireworks AI sells

Tools to tune and run AI models for companies

When a company wants AI in its product, it has to pick from hundreds of models and get them running on powerful computers. The problem is, tuning a model on your own data and getting it to run fast for real users is hard technical work. Fireworks lets companies build, train, and run AI models tailored to their own data, so their AI goes live sooner.

In plain English, from their own job posts. Something wrong? Tell us

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The Braun Read

Worth a look

Solid on the basics. Use the first call to fill in the gaps.

Pay
OTE is listed. Ask what the base is.
Transparency
Says nothing about quota, attainment, deal size, territory or sales cycle.
Pipeline
A mix of self-sourced pipeline and inbound or SDR help.
Time on market
Open 37 days. Normal, but not fresh.
Company hiring
16 sales roles open, hiring at a steady pace.

Red lights

None spotted.

Green lights

  • Publishes OTE. It tells you the on-target earnings up front. Most postings don't.

Based only on what the posting says. Lights are a starting point for your first call, not a final judgment.

Questions to ask on the first call

Built from what this posting leaves out. How they answer tells you as much as what they say.

  1. 1.

    What percentage of fully ramped reps hit quota last year?

    OTE is what you could earn. This is how likely you are to earn it.

  2. 2.

    What percentage of reps on the team have been here more than 18 months?

    Tenure shows whether people stay long enough to get paid.

  3. 3.

    Has the comp plan changed in the last 12 to 18 months? What changed?

    A plan that changes every year means the goalposts keep moving.

  4. 4.

    Who sits with reps and reviews calls each week?

    Coaching is often what's behind a good or bad attainment number.

  5. 5.

    What's the base, and how is the rest paid out?

    OTE without a base doesn't tell you what you can count on.

  6. 6.

    Why is this role open? Did someone leave, or is it new?

    New headcount is growth. A replacement means someone left. Ask why.

When the offer comes

Save these for later. They land better once they've said yes to you.

  1. 1.

    Can I see the full comp plan in writing, including clawbacks and accelerators?

    What's in writing is what gets paid. Read it before you sign.

  2. 2.

    Can I see the actual comp distribution for the team last year, not just the OTE?

    The spread shows what most reps really take home. OTE is just the target.

  3. 3.

    I'd be walking away from earned commission to join. Is there room for a sign-on bonus to help cover that?

    Leaving money behind is a fair reason to ask. The worst answer is no.

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The role

Build OEM and silicon alliances (Dell, HPE, NVIDIA) to bundle Fireworks' inference software with AI factory hardware, then drive joint deals to enterprises with partner sellers.

Enterprise · Partnerships

Selling motion

Channel

Who you're selling to

Buyer:
Enterprises standing up on-prem AI factoriesIn their words: “Enterprises are standing up AI factories: full-stack, on-prem and colocated deployments of compute, networking, storage, and models.”
Company size:
Enterprise

Pipeline expectations

A mix of self-sourced pipeline and inbound / SDR support.

Compensation

$320K–$350K OTE

What is not disclosed

This posting doesn't tell you:

  • Base salary
  • Quota size
  • Quota attainment
  • Average deal size
  • Territory
  • Sales cycle length

The questions above cover the big ones.

Full posting
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.
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