Sales Manager - Enterprise (New York)

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, 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).