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We're looking for a strategic and hands-on Lifecycle Marketing Manager to join our Growth team and own the B2B lifecycle.

This role sits at the heart of two growth motions. In our PLG motion, you'll drive product adoption among business users, designing journeys that turn sign-ups into active, engaged teams. In our SLG motion, you'll build and run nurture programs that surface high-intent leads, helping Sales prioritize and convert enterprise pipeline.

You'll work at the intersection of product, marketing, and sales, independently building the programs, signals, and journeys that move the right accounts forward at exactly the right moment. This is a high-ownership role with a direct line to pipeline and revenue.

What you will be doing
Leverage AI in your workflow - use cutting edge AI tools and techniques to test, automate and personalize at scale, sharpen targeting, and build smarter, more efficient processes.
Own PLG lifecycle funnels - design and execute onboarding, activation, and engagement journeys that drive product adoption and usage depth among our potential business users.
Run SLG nurture programs - build lead nurture sequences that educate, qualify, and surface high-intent prospects to help Sales generate enterprise pipeline.
Build smart segmentation - combine behavioral signals (product usage, feature adoption) with firmographic data (company size, industry, role) to create precise, high-converting audience segments.
Execute multi-channel campaigns - own email, in-app, and other lifecycle channels, tailored to different account types, lifecycle stages, and intent signals.
Align with Sales on handoff logic - define the triggers and signals that indicate a PLG user or nurtured lead is ready for Sales engagement, and ensure reps have the right context at the right moment.
Run a rigorous experimentation roadmap - lead A/B tests across messaging, timing, segmentation, and channels to continuously improve activation, engagement, and pipeline conversion rates.
Report and iterate - track lifecycle KPIs (activation rates, product usage depth, MQL-to-pipeline conversion, nurture engagement) and translate findings into actionable improvements.