AI Product Manager, Growth Marketing

Notion•New York, NY

2d•$191,000 - $225,000•Hybrid

About The Position

Notion is hiring an AI Product Manager, Growth Marketing to shape and scale self-optimizing paid marketing systems. The role will turn the performance marketing experimentation program from a prototype into an operating system by combining paid-growth expertise with an understanding of channel mechanics, audiences, creative, measurement, experimentation, and automation. The person will set the strategy and operating model and guide the agentic infrastructure that supports execution, partnering with BizOps, Strategic Finance, Growth, Ecosystems, and Marketing across Meta, LinkedIn, Google, and ChatGPT. In the first 90 days, the role will map how geo, audience, creative, spend, measurement, experimentation, and platform constraints interact; establish a model for turning signals into hypotheses, tests, and clear kill-or-scale decisions; learn how onboarding and activation connect paid acquisition to downstream user quality; and establish how AI and agents can improve the end-to-end decision system. By the end of the first year, the role is expected to expand the program from managing experimental budget to managing most paid spend while maintaining efficiency and Notion’s quality bar for ad creative. It will strengthen measurement, connect experiments to outcomes and user cohorts, use those insights to inform more personalized experiences, and create a repeatable model for Demand Generation and agentic marketing infrastructure. The role can be based in San Francisco or New York City. The team works from the office on Mondays, Tuesdays, and Thursdays (Anchor Days), and seeks someone who is excited to work in person alongside the team on those days. Notion offers competitive cash compensation, equity, and benefits. The estimated base salary range for this role in San Francisco or New York City is $191,000–$225,000 per year; compensation depends on factors including location, scope, and candidate experience and expertise.

Requirements

Deep paid-growth expertise across platforms such as Meta, LinkedIn, and Google.
Strong systems fluency across APIs, automation pipelines, and agentic systems.
Ability to understand how platform integrations, data, measurement, workflows, and constraints fit together; shape architecture and tradeoffs; and partner credibly with technical teams to build reliable systems.
Expert measurement and performance-analysis judgment, including interpreting geo, cohort, creative, and spend signals in context, identifying meaningful patterns and drivers, and making clear kill-or-scale decisions.
Strong product and systems judgment across technical and marketing domains.
Ability to connect complex components into a coherent strategy and translate an ambiguous frontier into a system with a high quality bar.
High-agency cross-functional ownership, including aligning decisions and delivering from strategy through operating model and infrastructure to outcomes.

Responsibilities

Set the strategy and operating model for scaling paid marketing experimentation into an operating system.
Guide agentic infrastructure that supports paid marketing strategy and execution.
Analyze how geo, audience, creative, spend, measurement, experimentation, and platform constraints interact.
Turn marketing signals into hypotheses, tests, and clear kill-or-scale decisions, with agent support for execution.
Build understanding of onboarding and activation and connect paid acquisition to downstream user quality.
Partner with Growth PM and Ecosystems PM on meaningful improvements.
Establish how AI and agents can improve analysis, hypothesis generation, creative and audience development, experiment QA, and reusable workflows.
Grow the program from managing experimental budget to managing the majority of paid spend while maintaining efficiency and ad creative quality.
Strengthen measurement and develop a connected view of experiment effects, causes, and differences by user cohort.
Use measurement insights to shape more personalized experiences.
Develop a repeatable model for Demand Generation and raise standards for experimentation, measurement, and agentic marketing infrastructure.
Work cross-functionally with BizOps, Strategic Finance, Growth, Ecosystems, and Marketing.