Responsibilities

• Own always-on lifecycle journeys end-to-end: Design and run growth programs that drive adoption, repeat usage, and monetization outcomes, turning "first try" into "part of how I work".
• Build systems that scale: Develop intake, campaign execution, QA, measurement, and channel governance using AI and automation to increase velocity and quality across programs.
• Demonstrate deep technical fluency: Leverage reverse ETL, data pipelines, APIs, webhooks, and event-based triggers to design sophisticated, personalized journeys beyond the traditional MarTech stack.
• Translate customer signals into targeted engagement: Synthesize research, support, community, and sales inputs into audience definitions and behavioral triggers across email and in-product for all user contexts.
• Run rigorous experimentation: Partner with Data and Product to define hypotheses, implement tracking, measure lift, and share learnings; align lifecycle touchpoints with Product Growth and PMMs for cohesive experiences.
• Tell the story of what’s working: Turn engagement data, experiment results, and behavioral patterns into clear readouts and roadmap influence for stakeholders.
• Collaborate across teams to rethink growth systems: Collaborate with Product Growth, Engineering, Product Marketing, and Data Science to translate signals into targeted experiences and scalable processes.
• Advocate for customers: Synthesize inputs from research and feedback to translate insights into messaging and experiences that resonate and feed back into product decisions.

Requirements

• 8–10 years experience in lifecycle marketing, product management, growth marketing, product marketing, or product-led engagement, with PLG experience preferred
• Proven track record owning always-on, triggered lifecycle programs end to end that drive measurable adoption, retention, and monetization outcomes
• Strong MarTech system fluency in concepts such as reverse ETL, data pipelines, APIs, webhooks, and more that enable you to build workflows from brief to build, to launch and measure
• Systems mindset and love for building repeatable processes and improving tooling to scale quality and velocity with the help of AI and Agents.
• Comfort with designing A/B tests with pre-registered hypotheses and holdout groups.
• Strong customer empathy and segmentation instincts—able to synthesize qualitative + quantitative inputs into clear audience definitions, intent models, and lifecycle interventions.
• Excellent messaging and copy craft with a user-first lens, able to turn fuzzy problems into clear narratives and next best actions
• Strong storytelling and stakeholder management skills, with the ability to turn insights into clear strategy, priorities, and persuasive narratives
• Analytical strength and ability to define success metrics, partner with Data and Engineering on eventing, and evaluate results with discipline
• You don’t need to be an AI expert, but you’re curious and willing to adopt AI tools to work smarter and deliver better results.

Nice to Have

• Experience across B2B, B2C, and B2C2B surfaces and journeys
• Experience with Customer.io, Figma, HTML, and basic SQL
• Comfort using AI and automation tools to streamline lifecycle operations and enable personalization at scale
• Experience partnering closely with Product Growth teams and shipping in high-velocity environments

Benefits

• Notion is committed to providing highly competitive cash compensation, equity, and benefits.

Disclaimer

• This role may be based in either our San Francisco or New York City offices. We work from our offices on Mondays, Tuesdays and Thursdays (Anchor Days).