Lifecycle Marketing Manager

Who We Are Notion is the collaborative AI workspace where teams and agents think together. We’re building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About the Role Notion has millions of users who rely on Lifecycle Marketing to help them get value from our products quickly, repeatedly, and in ways that stick. 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. 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. 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 (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. What You’ll Achieve 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. Skills You’ll Need to Bring 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. 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. Compensation and Benefits Notion is committed to providing highly competitive cash compensation, equity, and benefits. For roles based in San Francisco or New York City, the estimated base salary range for this role is $150,000 - $210,000 per year. Equal Opportunity & Accommodations We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know. #J-18808-Ljbffr