Braun Board

Sales Manager - Enterprise (New York)

Baseten · Hybrid · New York, NY

Base
Not disclosed
OTE
Not disclosed
Posted
9d ago

Still open · checked 1h agoon Baseten's careers page

What Baseten sells

Runs AI models for apps customers use

An app maker has built an AI model that works well in testing, but getting it to run smoothly for real users is tricky. Baseten runs those models for them, with developer tools that make setup faster. The team can ship the AI feature to customers without building the behind-the-scenes machinery themselves.

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

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The Braun Read

Proceed with caution

A few things here deserve a hard look before you spend time on it.

Pay
No pay listed at all.
Transparency
Says nothing about quota, attainment, deal size, territory or sales cycle.
Pipeline
Doesn't say where pipeline comes from. Ask.
Time on market
Open 8 days.
Company hiring
12 sales roles open, hiring at a steady pace.

Red flags

None spotted.

Worth asking about

  • Player-coach. You'd lead a team and work deals yourself. Ask whether you carry a personal quota and how your pay splits between the two.

Green flags

None spotted.

Based only on what the posting says. Flags 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.

    How is time split between managing the team and carrying your own number?

    Two jobs, one paycheck. Find out which one wins when time runs out.

  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.

    Where does pipeline come from: inbound, SDRs, or me?

    Tells you how much of your week is prospecting versus selling.

  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

Recruit, coach, and sell alongside a team of Enterprise AEs selling AI inference infrastructure to large digital natives and regulated industries. Player-coach role based in New York, in office 3 days a week.

Enterprise

Selling motion

Not stated in the posting.

Who you're selling to

Buyer:
Large digital natives and enterprise category leadersIn their words: “Enterprise at Baseten means the companies with the most to gain from AI and the most complexity in getting there: large digital natives running products at massive scale, and category leaders in software, financial services, and healthcare.”
Industry:
Software, financial services, healthcareIn their words: “category leaders in software, financial services, and healthcare”
Company size:
Enterprise

Pipeline expectations

Not stated in the posting.

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 BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We're hiring a Sales Manager to build and lead a team of Enterprise Account Executives. Enterprise at Baseten means the companies with the most to gain from AI and the most complexity in getting there: large digital natives running products at massive scale, and category leaders in software, financial services, and healthcare. They have the data, the distribution, and the budget. Most are still deciding what to build, what to run themselves, and what it should cost. You'll recruit and develop reps, run deals alongside them while the team ramps, and contribute to the playbook for how Baseten wins enterprise. It's a high-influence seat, close to our founders and GTM leadership. RESPONSIBILITIES - Recruit, hire, and ramp a team of Enterprise sellers - Coach reps through long, multi-stakeholder cycles: multithreading across buying committees, navigating security and procurement, and closing seven- and eight-figure deals - Raise the bar on consultative selling. Your reps should be advising customers on AI strategy, not just running a product evaluation - Partner on shaping and executing go-to-market strategy for your territory, including which verticals to attack first - Operate as a player-coach, carrying deals yourself while the team builds - Stay deep enough on the product to guide reps through technical evaluations, POCs, and architecture reviews alongside our forward-deployed engineers - Work with Marketing, Product, Engineering, and Legal to turn enterprise requirements into roadmap and GTM input - Build a culture of accountability, learning, and collaboration REQUIREMENTS - 8+ years of closing experience, with 2+ years managing high-performing teams - Proven success in Enterprise sales, closing complex, multi-stakeholder deals inside large organizations - Experience selling into large digital natives or regulated industries (financial services, healthcare/life sciences, insurance, public sector) - A track record of recruiting strong sellers, ideally on a new or early-stage team - Strong technical acumen, ideally in AI infrastructure, cloud infrastructure, or developer platforms. You're comfortable in the weeds - Willingness to sell as well as manage while the team is small - Based in New York and able to be in office at least 3 days per week (Tuesday to Thursday) BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
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