Lifecycle Growth Manager

San Francisco · 8+ years experience · Full-time · Onsite · Posted Oct 19, 2026

At a glance

Lifecycle Growth's job is to get more people using Grok, Grok Bot, X, Cursor and the API every day, and to turn that use into revenue.
This isn't a traditional marketing role, allowing you to do the work of a product manager, a product marketer and a marketing engineer.
The job spans consumer and business, self-serve and sales-led, requiring clear thinking about both solo users and enterprise deals.

Own lifecycle end to end across our suite of products: Grok, Grok Bot, X, Cursor and the API, from activation and conversion to paid through team expansion, retention and winback.
Use SQL and product data to size opportunities, build the audiences and triggers behind each program, and prove what actually drove revenue.
Architect multi-step, cross-channel programs across email, push and in-app, with event-based triggers, branching and suppression logic, and personalization drawn from product usage, plan and billing state, and company and role enrichment.
Drive and continuously improve the data model lifecycle runs on, including identity, events, attributes and eligibility, and partner with engineering on the warehouse syncs, APIs and webhooks that keep it accurate in real time.
Run every program as an experiment with a proper holdout, measure incremental lift, and make judgment calls when a result is inconclusive.
Manage lifecycle as a portfolio of programs, putting more behind what works and retiring what doesn't.
Own in-product messaging and experiments, from onboarding and upgrade prompts to post-purchase plan tours, and partner with product and engineering to improve our in-app comms systems.
Use code and agents to build the internal tools, templates and automated QA the team runs on, so each new program ships faster than the last.

8+ years in Lifecycle, Growth PMM or Product Growth at a high-growth product company.
The range to think fluently about lifecycle for consumers and businesses, self-serve and sales-led, and to know how each one changes the right move.
Real technical depth, including writing SQL, understanding how events, identity and attributes fit together, and comfort with APIs, webhooks and warehouse syncs.
Hands-on experience running complex programs in a major lifecycle platform, such as Braze, Customer.io or Iterable.
A history of building lifecycle systems with engineering, not just running campaigns on top of them.
Programs you can point to that moved revenue, paid users or retention, with holdouts to back it up.
Good experimentation judgment, focused on incrementality, cohort quality and lifetime value rather than opens and clicks.
Experience shipping in-product messaging or experiments alongside product and engineering.
The ability to set direction, bring product, engineering, data and design with you, and explain your thinking clearly to leadership.
A habit of using AI agents and code to get more done than a team your size should.