Lifecycle Marketing Lead

Notion•San Francisco, CA

1d•$230,000 - $270,000•Hybrid

About The Position

Notion is seeking an experienced Lifecycle Marketer to join its Product team. This role is crucial for driving adoption and engagement across the customer journey, particularly in an AI-native landscape. The individual will be responsible for creating intelligent growth programs that help users discover features, build confidence, and deepen product usage. This position involves partnering with Product Growth, Engineering, Product Marketing, and Data Science to translate customer context and product signals into personalized experiences across channels like email and in-product. A key aspect of the role is rethinking underlying systems to leverage AI and automation for faster development, delivery, measurement, and iteration of growth programs. The Lifecycle Marketer will also act as a customer advocate, synthesizing feedback from various sources to inform messaging and experiences, and ensuring lifecycle learnings influence product decisions and strategy. The role can be based in San Francisco or New York City, with a requirement to work in the office on Mondays, Tuesdays, and Thursdays.

Requirements

8+ 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.

Nice To Haves

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

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". 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. Flex technical fluency in product-led marketing, including reverse ETL, data pipelines, APIs, webhooks, and event-based triggers to design sophisticated, personalized journeys.
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. Turn engagement data, experiment results, and behavioral patterns into clear readouts, roadmap influence, and persuasive narratives for stakeholders.
Be data-backed: 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.
Build a world-class team: Lead and define the bleed edge for a team of lifecycle marketers who are defining the future in a rapidly changing environment.