AI Product Manager (Growth Marketing)

Notion; United States; On-site; USD 180,000 - 240,000; Full time

Job summary

Notion seeks a senior Growth Marketing leader to shape and scale self-optimizing paid marketing systems. This role drives the transition of an experimentation program from prototype to operating system, applying deep paid-growth expertise and cross-functional collaboration.

You will map signal interactions, establish an operating model, and guide AI-enabled agentic infrastructure to enable efficient, data-driven decisions across Meta, LinkedIn, Google, and other platforms.

Qualifications

• Experience shaping and scaling paid marketing systems.
• Strong experimentation mindset and data-driven decision making.
• Ability to partner across BizOps, Growth, Ecosystems, and Marketing.

Responsibilities

• Shape and scale self-optimizing paid marketing systems.
• Turn experimentation program from prototype into operating system.
• Collaborate with cross-functional teams across major platforms and internal groups.

Skills

Paid marketing

Experimentation

Cross-functional leadership

Analytics

Tools

APIs

Automation pipelines

Agentic systems

Job description

• 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
• 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
• Graduate the program from managing the experimental budget to managing the majority of paid spend, while maintaining efficiency and Notion’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

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 outcomesStrong 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 reliableExpert 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 decisionsStrong 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 barDeep 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