Account Executive - AI Native
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- Work arrangement
- hybrid
- Employment
- FullTime
- Stated compensation
- USD 180,000–230,000 1 YEAR
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Requirements
2 with evidence7 unclear or unstated- Remote policy
- hybrid
“Provider workplace type: hybrid”
From employer posting metadata - Minimum experience (years)
- 2
“2+ years of closing sales experience in a SaaS or infrastructure business, with a record of closing”
See matched passage in original description ↓ - Employment type
- FullTime
- Compensation
- USD 180,000–230,000 1 YEAR
7 fields not stated in this posting
- Employer sponsorship
- Not specified
- Geographic scope
- Not specified
- Degree requirement
- Not specified
- Security clearance
- Not mentioned
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Original job description
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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
AI Native is our segment for companies whose core product is AI, from their first model in production through serious scale. You'll be the first person at Baseten to reach many of these founders, and you'll win them early.
This is a high-velocity, high-intensity seat. You're running many early-stage opportunities at once, moving fast with founders who move fast, and going deep enough technically to be useful on day one. If you want a front-row seat to the frontier of AI and the ambition to grow into our largest accounts, this is the seat.
RESPONSIBILITIES
Source, close, and grow new business with early-stage AI companies. You own pipeline generation, not just what's handed to you
Run fast, technical sales cycles with founders and early engineering teams, from first call to first production workload
Prioritize ruthlessly across a high volume of opportunities and drive each one forward without dropping the thread
Pull in applied research and engineering when a deal needs depth, and keep everyone moving on your timeline
Bring the field back to product. You see what early AI teams need before the rest of the market does
REQUIREMENTS
2+ years of closing sales experience in a SaaS or infrastructure business, with a record of closing
Genuine curiosity about open-source models and AI infrastructure. You follow model releases and can hold a real conversation with engineers
Strong prioritization and project management instincts: you know which deal needs you today and you keep the rest alive
Comfortable selling to founders and technical buyers who expect substance, not a pitch
Thrives on intensity, ambiguity, and a fast-paced early-stage environment
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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