Performance Marketing Manager

Posted 3 Days Ago
Be an Early Applicant
2 Locations
In-Office
140K-180K Annually
Mid level
Software
The Role
Own and scale Baseten's paid acquisition engine: build funnel analytics and dashboards, design experiments across channels and creatives, scale high-performing campaigns to grow qualified pipeline while reducing CAC.
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.

ABOUT

We’re looking for a Performance Marketing Manager who can own and scale Baseten’s paid acquisition engine. This role is about building a high-signal, scalable growth machine that converts ML engineers and AI builders into users, pipeline, and revenue.

RESPONSIBILITIES

  • Own paid acquisition strategy end-to-end, with rigorous funnel analytics (CAC, conversion, pipeline attribution) and clear performance dashboards.

  • Design and execute structured experimentation across channels, creative, audiences, and landing pages (hypothesis → test → scale).

  • Scale high-performing campaigns and audiences to grow qualified pipeline while reducing blended CAC.

  • Build performance marketing into a predictable, data-driven growth engine aligned to priority ICP segments.

REQUIREMENT

  • Managed and deployed an $XXM paid ads budget

  • Has deep experience running paid acquisition across Google, LinkedIn, X, Reddit, and emerging technical channels

  • Understands how to market to a technical audience (ML engineers, infra leaders, AI founders)

  • Thinks in funnels, cohorts, CAC/LTV, and pipeline contribution

  • Is highly analytical and comfortable operating in ambiguity

  • Has worked in B2B SaaS or developer tooling

  • Has an existential interest in AI and understands the current model/infrastructure landscape

  • Can translate complex infrastructure into compelling, conversion-focused messaging

  • Moves fast, tests constantly, and optimizes relentlessly

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.

Top Skills

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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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