Braun Board

Head of Distribution Partnerships

Together AI · San Francisco, CA

Base
Not disclosed
OTE
Not disclosed
Posted
4mo ago

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

What Together AI sells

Cloud servers for running and training AI models

When an AI engineer wants to put a model into a product, they need powerful computers to run it. The problem is, the model can slow down or break once lots of people start using it. Together AI is a cloud built for AI engineers that runs models fast and reliably, so teams can run, adapt, and own their own models.

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

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The Braun Read

Ask hard questions

Too much is left unsaid. Make them answer before you invest.

Pay
No pay listed at all.
Transparency
Says nothing about quota, attainment, deal size, territory or sales cycle.
Pipeline
Mostly self-sourced. Great if you like outbound, rough if you don't.
Time on market
Open 128 days. Ask why it's been hard to fill.
Company hiring
3 sales roles open, hiring at a steady pace.

Red lights

None spotted.

Yellow lights

  • Open 90+ days. This role has been posted for three months or more. Ask why it's been hard to fill, and whether anyone left it.

Green lights

None spotted.

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.

    This role has been open a while. What's made it hard to fill?

    The answer tells you what candidates saw that made them walk.

  2. 2.

    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.

  3. 3.

    What are the base and the OTE for this role?

    No point investing hours before you know the number.

  4. 4.

    What's the annual quota, and how was it set?

    A quota built from real data is a target. Otherwise it's a hope.

  5. 5.

    What share of last year's closed deals did reps source themselves?

    Shows how much pipeline you'll have to build on your own.

  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.

Josh's top five questions for any sales interview →

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The role

Source and build 0-to-1 technology, co-sell, ISV, and OEM partnerships with data platforms, cloud marketplaces, and software ecosystems to drive token distribution from Together's inference platform.

Partnerships · Outbound

Selling motion

Channel

Who you're selling to

Buyer:
Data platforms, cloud marketplaces, ISVs and software ecosystemsIn their words: “Identify and prioritize distribution partners — data platforms, cloud marketplaces, ISVs, and software ecosystems”
Industry:
Cloud and softwareIn their words: “data platforms, cloud marketplaces, ISVs, and software ecosystems”

Pipeline expectations

Mostly self-sourced. Expect a lot of outbound.

Compensation

The posting doesn't list pay.

What is not disclosed

This posting doesn't tell you:

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

The questions above cover the big ones.

Full posting
About the Role Together AI is building the AI-native cloud — the fastest inference infrastructure on the planet, paired with a model ecosystem, orchestration layer, and data center footprint that enterprises and frontier labs depend on. As we expand the surface area through which our models and inference reach end users, we're hiring a Head of Distribution Partnerships to source and build the 0-to-1 partnerships that drive token distribution from models served on Together. This is a builder role for someone with sharp technical instincts and a strong product-partnerships background who can identify where Together's competitive edge in open-source model serving complements another platform's distribution — and then go build that relationship from scratch. You'll work across technology partnerships, co-sell motions, ISV integrations, and OEM arrangements with data platforms, cloud providers, and software ecosystems where our inference and OSS model serving capabilities create obvious joint value. You need technical fluency to scope integrations with engineering counterparts, product instincts to identify where Together's serving stack creates a compelling wedge, and the hustle to turn a cold outreach into a signed, launched partnership. You'll report into the VP of Strategic Partnerships and work closely with Product, Engineering, Marketing, and the broader Partnerships team. Responsibilities - Source and Build 0-to-1 Partnerships: Identify and prioritize distribution partners — data platforms, cloud marketplaces, ISVs, and software ecosystems — where Together's open-source model serving and inference performance is a differentiated fit. Build these relationships from first contact through signed agreement and launch. - Structure Technical & Commercial Integrations: Design partnership structures across technology integrations, co-sell arrangements, ISV partnerships, and OEM deals. Scope technical integration requirements directly with partner engineering teams and negotiate the commercial terms alongside them. - Own the Partner Lifecycle: Manage the full arc of a partnership — pipeline generation, technical scoping, commercial negotiation, legal review, launch, and ongoing account growth — with less structure and more ambiguity than a mature partner program. - Translate Product Fit into Partner Value: Work closely with Product and Engineering to understand where Together's model serving and inference capabilities offer a genuine wedge into a partner's ecosystem, and translate that into a partnership pitch that resonates with partner stakeholders. - Drive Joint Go-to-Market: Partner with Marketing and Sales to build joint co-sell motions, marketplace listings, and case studies that demonstrate real distribution impact from launched partnerships. Requirements - Experience: At least 5 years in product partnerships, business development, or technical alliance management, ideally at an infrastructure, developer tools, or platform company. - 0-to-1 Builder Mentality: Track record of sourcing and closing partnerships from scratch — comfortable with ambiguity, cold outreach, and building process where none exists yet. - Technical Acumen: Enough technical depth to scope integrations directly with engineering counterparts — APIs, SDKs, model serving, or infrastructure integrations — without needing a technical partner in every conversation. - Commercial Structuring: Experience negotiating technology partnership agreements, co-sell frameworks, ISV/OEM arrangements, or marketplace integrations. - High EQ & Self-Starter: Comfortable operating with significant autonomy, building trust with partner stakeholders quickly, and prioritizing across a broad and evolving partner landscape. Preferred Qualifications - Experience partnering with or working inside data platforms, cloud marketplaces, or enterprise software ecosystems. - Background in AI infrastructure, model serving, or inference, or strong familiarity with the open-source model ecosystem. - Experience with marketplace private offers, co-sell motions, or consumption-based commercial models. About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month. Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $ 300 - 350K OTE + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy.
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