Growth Manager, Enterprise Lifecycle
San Francisco • FullTime
Posted 2mo ago
Remote Work Policy
On-site
Employment Type
FullTime
Categories
Applied AI Engineer
About the job
Perplexity is looking for an Enterprise Product Growth Manager to lead the entire nurture and engagement process for their enterprise and business buyers. This role involves managing the journey from initial contact through to closed deals and expansion. You will collaborate with Demand Generation, Sales, Product Marketing, and Revenue Operations to guide accounts through the sales funnel and develop AI-native tools to support these programs. The ideal candidate is a marketer who is comfortable writing their own SQL, prototyping agents, and automating workflows rather than executing them manually.
Responsibilities
- Develop and own Perplexity's end-to-end enterprise lifecycle user states, including outbound nurture, MQL-to-SQL conversion, opportunity acceleration, post-sale activation, expansion, and renewal, with accountability for pipeline and revenue.
- Build and operate AI-native lifecycle tooling, such as agents for audience segmentation, personalized copy generation, channel selection, and results analysis, to replace manual processes.
- Design and execute multi-channel nurture campaigns across email, in-product, notifications, Slack, and other platforms, tailored to enterprise personas and funnel stages.
- Partner with Demand Generation and Sales on top-of-funnel outbound activities to convert cold and intent-signaled accounts into engaged conversations and facilitate handoffs.
- Manage the post-sale lifecycle, including admin onboarding, end-user activation, feature adoption, intervention for at-risk accounts, and expansion plays to grow seats and ARR.
- Run all programs as experiments, defining hypotheses, controls, primary metrics, and readouts, and iterating based on performance.
Requirements
- 7+ years in product growth, lifecycle, or growth marketing at a fast-paced startup, with a proven track record of improving activation, retention, and revenue metrics, including enterprise pipeline.
- Experience owning growth end-to-end across the full user journey, from first touch and activation through expansion, monetization, and win-back.
- Deep understanding of audience segmentation, including personas, behavioral triggers, lifecycle stages, and product signals, and their translation into effective journeys and experiments.
- Ability to craft compelling copy and experiences across various channels (email, push, in-product) for different user types (end users, admins, executives).
- Experience and strong interest in building AI-driven growth engines, including programmatic personalization, agentic workflows, and rapid experimentation platforms.
- A builder mentality towards tooling, with experience extending existing growth stacks and building custom internal tools, scripts, and automated systems.
- Proficiency in SQL for cohort analysis, segment validation, and dashboard interpretation.
- Ability to operate at high velocity, shipping daily, iterating weekly, and thriving in fast-paced, early-stage environments with evolving processes.