Baseten

Sales Manager - Enterprise (London) at Baseten (London, United Kingdom)

Baseten· London, United Kingdom·

Role details

Employment
Full-Time

Baseten at a glance

AI inference platform for deploying, optimizing, and running machine learning models in production at scale.

Baseten runs trained AI models in production for other companies, handling the GPUs, autoscaling, runtime, and performance tuning so engineering teams get a fast, reliable API without operating the infrastructure themselves. It supports open source, custom, and fine tuned models across managed cloud, hybrid, and self hosted deployments.

$2B+ raised · latest: Series F · $1.5B · June 2026 (valuations of $13B and $11B across two tranches) · backed by Altimeter Capital, Conviction, Spark Capital, Sands Capital

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, 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 help build and lead our founding team of Enterprise Account Executives in London. 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. You'll help recruit the first reps, run deals alongside them while the team ramps, and contribute to the playbook for how Baseten wins European enterprises. It's a founding seat with real influence on how we build here, close to our founders and GTM leadership.

RESPONSIBILITIES

  • Recruit, hire, and ramp the founding team of Enterprise AEs in London. This is your highest-leverage work in year one
  • 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 the region, including which verticals to attack first
  • Operate as a player-coach early on, 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 European enterprise requirements into roadmap and GTM input
  • Build a culture of accountability, learning, and collaboration from the first hire forward

REQUIREMENTS

  • 6+ 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, government)
  • A track record of recruiting strong sellers, ideally as a first or early hire in a new team or region
  • 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 London 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).

Why work at Baseten

  • Hard Technical Problems: Engineers work on the most challenging problems in modern infrastructure—model serving, low-level GPU optimization, networking, distributed systems, and observability. This is a high-agency, high-impact engineering environment.
  • High Growth Trajectory: The company is experiencing explosive growth (224% headcount increase, active hiring). This offers significant career acceleration and ownership opportunities.
  • Strong Engineering Culture: Founded by engineers, for engineers. The culture emphasizes "first-principles thinking across the entire stack" and a "customer-obsessed" mindset. The employer rating on compensation, culture, and work-life balance is rated highly (5.0).
  • Top-Tier Team & Investors: The team has strong talent density with hires from Meta, Stripe, Google, NVIDIA, and Databricks. Being backed by top-tier VCs provides stability and a clear long-term vision.
  • Hybrid/In-Office: Based in San Francisco with a strong in-person or hybrid culture common for fast-moving infrastructure startups.

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