Performance Marketing Manager

Baseten · Data AI · San Francisco, CA · GTM

Baseten is seeking a Performance Marketing Manager to own and scale their paid acquisition engine, focusing on converting ML engineers and AI builders into users, pipeline, and revenue. This role requires end-to-end ownership of paid acquisition strategy, rigorous funnel analytics, structured experimentation, and scaling high-performing campaigns to grow qualified pipeline while reducing CAC. The ideal candidate understands how to market to a technical audience, thinks in terms of funnels and metrics, and has experience in B2B SaaS or developer tooling with an interest in AI.

What you'd actually do

  1. Own paid acquisition strategy end-to-end, with rigorous funnel analytics (CAC, conversion, pipeline attribution) and clear performance dashboards.
  2. Design and execute structured experimentation across channels, creative, audiences, and landing pages (hypothesis → test → scale).
  3. Scale high-performing campaigns and audiences to grow qualified pipeline while reducing blended CAC.
  4. Build performance marketing into a predictable, data-driven growth engine aligned to priority ICP segments.

Skills

Required

  • Paid acquisition strategy
  • Funnel analytics (CAC, conversion, pipeline attribution)
  • Performance dashboards
  • Structured experimentation
  • Campaign and audience scaling
  • B2B SaaS marketing
  • Developer tooling marketing
  • Marketing to technical audiences (ML engineers, infra leaders, AI founders)
  • Funnels, cohorts, CAC/LTV, pipeline contribution analysis
  • Analytical skills
  • Operating in ambiguity
  • Fast-paced environment
  • Constant testing and optimization
  • Experience managing significant paid ad budgets (e.g., $XXM)
  • Experience with channels like Google, LinkedIn, X, Reddit, and emerging technical channels
  • Understanding of AI and ML infrastructure landscape
  • Translating complex technical concepts into compelling marketing messages

Nice to have

  • Meaningful equity
  • Competitive compensation
  • Exposure to a variety of ML startups

What the JD emphasized

  • rigorous funnel analytics
  • structured experimentation
  • scale high-performing campaigns
  • predictable, data-driven growth engine
  • Managed and deployed an $XXM paid ads budget
  • deep experience running paid acquisition across Google, LinkedIn, X, Reddit, and emerging technical channels
  • understands how to market to a technical audience
  • Thinks in funnels, cohorts, CAC/LTV, and pipeline contribution
  • existential interest in AI and understands the current model/infrastructure landscape
  • translate complex infrastructure into compelling, conversion-focused messaging