Lifecycle Growth Manager (AI)

Location: In-person role based in the San Francisco office, United States

Company

Cursor AI is building a super intelligence stack spanning compute, models and applications including Grok Bot, Grok Build, Grok Imagine, Grok Voice, X, Cursor and the API.

What you will do

• Own lifecycle growth strategy and roadmap across activation, paid conversion, team expansion, retention and winback for consumer and business products.
• Use SQL and product data to size opportunities, build audiences and triggers, and measure revenue impact.
• Architect multi-step cross-channel journeys across email, push and in-app messaging with event triggers, branching, suppression logic and personalization.
• Improve lifecycle data systems covering identity, events, attributes and eligibility, and partner with engineering on warehouse syncs, APIs and webhooks.
• Run programs as experiments with holdouts, measure incremental lift, manage the program portfolio and make decisions on inconclusive results.
• Build in-product messaging, experiments, internal tools, templates and automated QA using code and AI agents.

Requirements

• 8+ years of experience in Lifecycle, Growth PMM or Product Growth at a high-growth product company.
• Ability to think fluently about lifecycle for consumers and businesses, including self-serve and sales-led models.
• Technical depth with SQL, event, identity and attribute systems, APIs, webhooks and warehouse syncs.
• Hands-on experience running complex programs in a major lifecycle platform such as Braze, Customer.io or Iterable.
• Experience building lifecycle systems with engineering, not only running campaigns on top of existing systems.
• Demonstrated programs that improved revenue, paid users or retention, supported by holdout experiments.
• Strong experimentation judgment focused on incrementality, cohort quality and lifetime value rather than opens and clicks.
• Experience shipping in-product messaging or experiments with product and engineering.
• Ability to set direction, align product, engineering, data and design, and explain decisions clearly to leadership.
• Habit of using AI agents and code to increase execution capacity.

Culture & Benefits

• In-person work from the San Francisco office.
• Work spans lifecycle marketing, product management, product marketing and marketing engineering.
• Programs are evaluated through experimentation, holdouts and incremental business impact.