AI Product Manager, Growth Marketing

Who We Are

[Employer] is the collaborative AI workspace where teams and agents think together. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on [Employer].

Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.

About the Role:

Truly unique opportunity to shape and scale self-optimizing paid marketing systems for Growth. This role exists to turn our performance marketing experimentation program from a prototype into the operating system. The opportunity calls for deep paid-growth expertise and a strong grasp of how channel mechanics, audiences, creative, measurement, experimentation, and automation fit together. You’ll set the strategy and operating model, and guide the agentic infrastructure that brings it to life. You’ll partner with BizOps, Strat Fin, Growth, Ecosystems, and Marketing across Meta, LinkedIn, Google, and ChatGPT, interpreting always-on geo, cohort, creative, and spend signals in context.

This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days.

What You'll Achieve:

• By day 90:Map how geo, audience, creative, spend, measurement, experimentation, and platform constraints interact; establish an operating model that turns those signals into hypotheses, tests, and clear kill/scale decisions, with agents supporting execution.
• Build a deep understanding of onboarding and activation, and how paid acquisition connects to downstream user quality; partner with Growth PM and Ecosystems PM on meaningful improvements.
• Establish how AI and agents can strengthen the end-to-end decision system—from analysis and hypothesis generation to creative and audience development, experiment QA, and reusable workflows—improving decision quality, not only execution speed.

By the end of year one:

• Graduate the program from managing the experimental budget to managing the majority of paid spend, while maintaining efficiency and [Employer]’s quality bar for ad creative.
• Establish stronger measurement and a clear, connected view of which experiments move which metrics, why they work, and how results vary by user cohort; use that understanding to shape more personalized experiences.
• Turn the system into a repeatable model for Demand Generation, raising the standard for experimentation, measurement, and agentic marketing infrastructure across the organization.

Skills You'll Need to Bring:

• Strong systems fluency across APIs, automation pipelines, and agentic systems. You can see how platform integrations, data, measurement, workflows, and constraints fit together; shape sound architecture and tradeoffs; and partner credibly with technical teams to make the system reliable.
• Deep paid-growth subject matter expertise across platforms such as Meta, LinkedIn, and Google. You understand how channel mechanics, budgets, audiences, creative, and performance interact, and can connect those dynamics to real marketing outcomes.
• Expert measurement and performance-analysis judgment: you can interpret geo, cohort, creative, and spend signals in context, identify meaningful patterns, understand what is driving them, and make clear kill/scale decisions.
• Strong product and systems judgment across technical and marketing domains, with the ability to connect the parts into a coherent strategy and translate an ambiguous frontier into a system with a high quality bar.
• High-agency cross-functional ownership: you can work across BizOps, Strat Fin, Growth, Ecosystems, and Marketing to align decisions and deliver the full loop from strategy through operating model and infrastructure to outcomes.

[Employer] is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $191,000 - $225,000 per year.

By clicking “Submit Application”, I understand and agree that [Employer] and its affiliates and subsidiaries will collect and process my information in accordance with [Employer]’s Global Recruiting Privacy Policy and NYLL 144.

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A Note on AI

You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.

Equal Opportunity & Accommodations

We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. [Employer] is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. [Employer] provides reasonable accommodations during the application process; if you need one, please let your recruiter know.

[Employer] is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. [Employer] considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. [Employer] is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.