Digital Adoption & Lifecycle Manager

San Francisco, US (Remote) · San Francisco · USD 132,000-162,750 · Remote · Posted Oct 9, 2026

At a glance

Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com.

The Digital Adoption & Lifecycle Manager will own communications that drive adoption, retention, and expansion across Mixpanel's customer base. This is a builder's role focused on designing behavior-based lifecycle programs, particularly for digital-only customers, and pioneering the use of AI agents in customer success.

Build the lifecycle communication program end-to-end across onboarding, adoption, retention, and expansion.
Design behavior-based segmentation using product usage, health signals, and account attributes.
Write customer-facing copy for email and in-product messaging.
Build and ship campaigns in tools like Customer.io, HubSpot, and Statisfy.
Partner with Marketing on the shared email calendar to coordinate timing and frequency.
Support product-led adoption initiatives by translating launches into lifecycle moments.
Define success metrics for every program and run a regular reporting cadence.
Run experiments on subject lines, timing, sequencing, and channel mix.
Pilot agentic approaches to scaled customer success using AI agents.
Identify gaps in data, tooling, and process to improve infrastructure.

Experience in customer lifecycle communications, ideally in a B2B SaaS environment.
Excellent writing skills with the ability to be concise and specific for a technical audience.
Hands-on experience with lifecycle and marketing automation platforms like Customer.io, HubSpot, Braze, or Iterable.
Fluent in product analytics tools like Mixpanel.
Familiarity with customer success platforms like Statisfy, Gainsight, or Totango.
Strong ability to reason about cohorts, behavioral triggers, and audience overlap.
Data-driven mindset with experience contributing to metrics like GRR, NRR, activation rate, and time to first value.
Experience working alongside customer-facing teams.
Ability to drive projects forward independently without a defined playbook.
Active experimentation with agentic customer success and purposeful use of AI in daily workflows.

Experience launching a scaled or digital customer success program at a company that didn't have one before.
Experience serving a long-tail or self-serve customer base alongside segments with dedicated account teams.
Experience with in-product messaging tools and lifecycle orchestration beyond email.
Hands-on experience deploying an AI agent into a real customer-facing workflow.