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Salary
$185k – $205k per year
Location
Hybrid (San Francisco, United States)
Seniority
Staff · 5+ years exp
Visa
H-1B filings in 12 months: 38
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 2, 2026. First seen by Alion on Sep 14, 2026. Baseten scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Baseten is an American company founded in 2019 that runs machine learning models in production for companies that would rather not operate GPU infrastructure themselves. Its position is inference rather than training: it handles model packaging, autoscaling, cold start latency and multi-cloud capacity, which are the unglamorous problems that determine whether a model-powered product is fast and affordable enough to ship. Headquartered in San Francisco and backed at a multi-billion dollar valuation, it serves companies deploying open and custom models, and it competes with both the hyperscalers and the model providers' own hosted endpoints.

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

Our Sales and Solutions teams navigate hard technical conversations spanning inference performance, GPU economics, latency budgets, deployment shape. As Baseten’s platform matures, we need a dedicated owner to translate launch velocity into field readiness. As our first Product Enablement Lead, you'll sit between Product, Marketing, and Sales GTM and own how Baseten's products, features, campaigns, and market moments like the launch of GLM-5.2 or Kimi K3 or the sudden evolution of Tokenomics as a discipline get translated into field execution. You will own how these launches land with the field, how AEs and SAs stay credible on a highly dynamic technical ecosystem, and how what the field hears from customers makes it back to Product.

This is a hands-on individual contributor role. You are the bridge between product, marketing, and sales. You'll build the system and run it, which includes cross-functional program leadership, direct training and enablement of in-seat reps, and content and curriculum development for managers, sellers, and new hires. Success here will depend on your ability to build repeatable systems and rhythms and to partner across the business and with your enablement colleagues to ensure alignment and speed of execution.

RESPONSIBILITIES

  • Own launch readiness: partner with Product and Marketing on positioning, write internal launch comms, and run readiness sessions so AEs and SAs can sell new products on day one.

  • Build and deliver technical enablement that makes the field credible on inference, GPUs, latency, and deployment. Raise the floor for AEs; give SAs the depth they need.

  • Produce the customer-facing collateral that comes out of this work: decks, battlecards, and demos that hold up in front of an engineer.

  • Build repeatable systems, not just content, so enablement keeps pace with the product roadmap.

  • Own the Product Feedback system from customers and the field back to Product and Marketing. Help identify what is resonating with customers and what isn't, in order to shape positioning, packaging, and roadmap.

  • Define and report on how we know enablement is working (ramp time, adoption of new products in deals, win rate on launches).

REQUIREMENTS

  • 5+ years in product enablement, GTM enablement, field enablement, or product marketing at an infrastructure, developer tools, or AI-native company.

  • Experience enabling an internal sales field (AEs, SAs), as opposed to onboarding customers' engineers.

  • Technical depth: a CS or engineering background, prior SE/SA experience, or a track record of building demos and technical content yourself. You can hold your own in a conversation about model serving.

  • Hands-on track record. You have personally written the collateral and run the sessions, and can point to programs, talks, docs, or certifications you built.

  • Systems mindset: you think in repeatable workflows, not one-off deliverables, and you're comfortable defining success and measuring it.

  • Comfortable operating in ambiguity as the first hire in a function.

  • You actively use AI tools to drive your own productivity - in how you draft content, translate technical detail for different audiences, and accelerate your work.

  • Based in the SF Bay Area or willing to relocate.

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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