Who you are
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. You can answer the question of “what have you built with AI in the last 90 days?”
Comfort with designing A/B tests with pre-registered hypotheses and holdout groups. You can explain statistical significance to a non-technical stakeholder
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
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
If you’re excited about a role but your past experience doesn’t align perfectly with every bullet point listed in the job description, we still encourage you to apply
What the job involves
We’re looking for an experienced Lifecycle Marketer to join our Product team to help bring the engine that drives adoption and engagement across the customer journey into an AI-native landscape, helping to intelligently move users from first value to deeper habits and workflows
What makes this different than a standard lifecycle marketer: This is a high-impact role helping to rethink the growth engine responsible for driving customer engagement and retention at Notion. You won't just build campaigns, you'll imagine how marketing works using AI to automate, personalize and scale impact. (edited)
In this role, you’ll build always-on, intelligent growth programs that help users discover the right features at the right time, build confidence, and deepen usage over time
You’ll partner closely with Product Growth, Engineering, Product Marketing, and Data Science to turn customer context and product signals into targeted experiences across channels such as email and in-product, continuously improving them through experimentation
Just as important, you’ll help us scale by rethinking how our underlying systems that power development, delivery, measurement, and workflows can work in the world of Agent and AI automation, all with aim to make growth programs faster to ship, easier to iterate, and smarter over time
Finally, you will be a customer advocate
You’ll stay close to user needs and pain points by synthesizing inputs from research, support, community feedback, and sales-facing learnings, then partner with PMM and Product to translate those insights into messaging and experiences that resonate
You’ll also close the loop: bringing engagement data, experiment results, and behavioral patterns back to the business so that lifecycle learnings shape product decisions, roadmap priorities, and go-to-market strategy
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”. Act as a strategic operator, you’ll bring work from high-level strategy through to launch, owning everything in between
Build systems that scale: Bring systems thinking to how Lifecycle Marketing operates—from intake and campaign execution to QA, measurement, and channel governance—using AI and automation to increase velocity and quality across programs
Demonstrate deep technical fluency: Leverage knowledge of reverse ETL, data pipelines, APIs, webhooks, and event-based triggers to design sophisticated, personalized journeys that go beyond the traditional MarTech stack
Translate customer signals into targeted engagement: Synthesize research, support, community, and sales inputs into audience definitions and behavioral triggers that deliver the right message at the right moment—across email and in-product—for every user context, from new members to power users
Run rigorous experimentation: Partner with Data and Product to define hypotheses, implement tracking, measure lift, and share learnings. Bring alignment on lifecycle touchpoints with Product Growth and PMMs to ensure cohesive, not disconnected, experiences
Tell the story of what's working: Turn engagement data, experiment results, and behavioral patterns into clear readouts, roadmap influence, and persuasive narratives for stakeholders