Responsibilities

• Own NCAs from the unactivated customer base as your primary metric — build the roadmap, experiment backlog, channel mix, and investment model to grow it
• Design, run, and iterate activation programs by customer segment: onboarding sequences, re-engagement triggers, milestone nudges, upgrade moments — across email, push, in-app, and paid retargeting
• Partner with the PM who owns the product side of this metric, maintaining a shared view of what's being tested and where the highest-leverage interventions are
• Turn conversion data into clear signals for product learning and development
• Own in-app marketing touchpoints for the activation funnel — banners, modals, tooltips — as the marketing layer on top of the product experience, in close coordination with PM and Content Design
• Design and manage an AI-native marketing operating system from scratch — agent architecture for hypothesis generation, test planning, content production, copy QA, and performance reporting; you're building this, not inheriting a stack
• Own the marketing stack, tooling selection, and budget — evaluate what earns a place, cut what doesn't, and build infrastructure that lets you test faster over time

Requirements

• 8+ years in product marketing, lifecycle marketing, or growth, with experience owning a conversion or activation metric end to end — not supporting someone else who did
• Genuine PM instincts: you think in funnels and experiments, and have built roadmaps and made tradeoffs based on impact vs. effort
• Built onboarding/activation programs from scratch across email, push, and in-app, with conversion data to show for it
• Fluency with in-app marketing tooling (Braze, Iterable, Appcues, or equivalent) and the ability to QA your own implementations
• Comfort working directly in data — you can build a funnel analysis and QA conversion events without waiting on an analyst
• Experience designing or operating AI-assisted workflows in marketing/growth, with a point of view on where agents add leverage vs. where human judgment matters
• Ability to work directly with engineers and PMs to scope instrumentation and tooling — you don't write the code, but you know what to spec

Preferred

• Fintech, payments, or two-sided marketplace experience is a plus
• Background in engineering or product management is a strong plus — those who started there tend to move faster on instrumentation and data modeling

Benefits

• Flexible paid time off
• Health, dental, and vision + 401k plan with company matching
• Paid parental, medical, military and family care leave
• Mental Health & Family Forming Benefits
• Employee Stock Purchase Plan (ESPP)
• Continuing education