Account Executive - AI Native: Startups

Reposted 16 Days Ago
San Francisco, CA, USA
Hybrid
180K-230K Annually
Junior
Software
The Role
The Account Executive is responsible for building sales processes, closing new business, and developing a strong sales pipeline while maintaining relationships with customers.
Summary Generated by Built In

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 $300M Series E, backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products.

THE ROLE

We are looking for an Account Executive to join our dynamic team. This role is a great fit for those with sales experience looking to grow within a high-growth startup environment. As an Account Executive, you will prospect and close new business alongside our founders and Marketing team. You’ll consult with our existing customer base and prospective customers to build meaningful relationships and shape our product and go-to-market roadmaps.

RESPONSIBILITIES

  • Help build the foundation and processes for customer-facing teams at Baseten

  • Lead, negotiate, and execute new sales opportunities for Baseten

  • In partnership with the marketing and BDR team, develop a strong sales pipeline to support quarterly and annual sales targets

  • Establish and maintain relationships with key stakeholders within sales accounts

  • Work cross-functionally to improve the customer experience and ensure sales effectiveness

REQUIREMENTS

  • 1-3 years of sales experience in a SaaS business

  • Experience in selling to technical audiences

  • Experience with developer/machine-learning tooling preferred, but not required

  • Proven ability to close complex sales cycles

  • Proficiency with sales and marketing automation tools

  • Interest in working at an early-stage, fast-paced startup

BENEFITS

  • Competitive compensation, including meaningful equity.

  • 100% coverage of medical, dental, and vision insurance for employee and dependents

  • Generous PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)

  • Paid parental leave

  • 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).

Top Skills

Developer/Machine-Learning Tooling
SaaS
Sales And Marketing Automation Tools
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The Company
59 Employees

What We Do

At Baseten we provide all the infrastructure you need to deploy and serve ML models performantly, scalably, and cost-efficiently. Get started in minutes, and avoid getting tangled in complex deployment processes. You can deploy best-in-class open-source models and take advantage of optimized serving for your own models. We also utilize horizontally scalable services that take you from prototype to production, with light-speed inference on infra that autoscales with your traffic. Best in class doesn't mean breaking the bank. Run your models on the best infrastructure without running up costs by taking advantage of our scaled-to-zero feature

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