Job description

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 baseten.co, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE 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, healthcare, and beyond. 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. That makes this a consultative sale. You'll spend as much time helping a VP of Engineering pressure-test their AI strategy as you will selling against an alternative, mapping use cases, framing build-vs-buy, and giving clear recommendations grounded in what you've seen work at the frontier. Then you'll do the enterprise work: multithreading across a buying committee, navigating security and procurement, and turning a first workload into an eight-figure relationship. You'll work alongside our founders, forward-deployed engineers, and GTM leadership, in a seat where the playbook is still being written. RESPONSIBILITIES - Own a revenue target end to end, from prospecting and outbounding through closing Tier 1 accounts in your verticals - Act as a strategic advisor on AI adoption: identify use cases, shape architecture decisions, and lead with clear, opinionated recommendations - Multithread across large organizations, from the engineers running evals to the executives funding the program to security, legal, and procurement - Win lighthouse customers that become references for their entire industry - Partner with forward-deployed engineering on technical evaluations, POCs, and architecture reviews - Feed signal back to product and engineering. What enterprises need next is a roadmap input we don't get anywhere else REQUIREMENTS - 8+ years of enterprise B2B sales experience in technology, ideally infrastructure, API/platform, or developer tooling - A track record of closing seven- and eight-figure deals by navigating multi-stakeholder buying committees and long, complex cycles - Demonstrated ability to run a consultative sale. You've helped customers define a strategy, not just evaluate a product - Strong technical acumen: you can hold your own on model serving, GPU infrastructure, latency, and API architecture - Experience selling into large digital natives or regulated industries (financial services, healthcare/life sciences, insurance, government) - Excellent communication and comfort with high autonomy in a fast-moving environment NICE TO HAVE - Direct experience selling AI/ML infrastructure, cloud compute, or model deployment platforms 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).

Requirements

Must-haves

You'll work alongside our founders, forward-deployed engineers, and GTM leadership, in a seat where the playbook is still being written.
Own a revenue target end to end, from prospecting and outbounding through closing Tier 1 accounts in your verticals
Act as a strategic advisor on AI adoption: identify use cases, shape architecture decisions, and lead with clear, opinionated recommendations
Multithread across large organizations, from the engineers running evals to the executives funding the program to security, legal, and procurement
Win lighthouse customers that become references for their entire industry
Partner with forward-deployed engineering on technical evaluations, POCs, and architecture reviews
Feed signal back to product and engineering. What enterprises need next is a roadmap input we don't get anywhere else
8+ years of enterprise B2B sales experience in technology, ideally infrastructure, API/platform, or developer tooling
A track record of closing seven- and eight-figure deals by navigating multi-stakeholder buying committees and long, complex cycles
Demonstrated ability to run a consultative sale. You've helped customers define a strategy, not just evaluate a product
Strong technical acumen: you can hold your own on model serving, GPU infrastructure, latency, and API architecture
Experience selling into large digital natives or regulated industries (financial services, healthcare/life sciences, insurance, government)
Excellent communication and comfort with high autonomy in a fast-moving environment

Nice-to-haves

Direct experience selling AI/ML infrastructure, cloud compute, or model deployment platforms

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiapimlmachine learning

Platform: ashby
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto

Parental Leave