Product Manager, Growth Lifecycle

Cantina Labs is a social AI company developing a suite of advanced real-time models that push the boundaries of expression personality and realism. We bring characters to life transforming how people tell stories connect and create. We build and power ecosystems. Cantina our flagship social AI platform is just the beginning.

If youre excited about the potential AI has to shape human creativity and social interactions join us in building the future!

Were hiring a Lifecycle Product Manager to own how Cantina reaches users outside the app and brings them back to value inside it. Sitting on the product management team youll own the end-to-end user journey across email push and in-product messaging and critically the deep-linked landing and post-click experiences that complete the loop. Youll develop a deep qualitative and quantitative understanding of how people move through Cantina turn that into a lifecycle strategy that grows activation retention and resurrection and partner with Data and Engineering to launch measure and compound improvements. This is a hands-on role with company-wide visibility: youll write the strategy ship the journeys run the experiments and bring senior stakeholders along.

• Own the lifecycle strategy and roadmap for Cantinas owned channels mapping journeys across onboarding activation continuation retention resurrection and monetization.

• Lead the design launch iteration and optimization of templates and journeys across email push and in-product messaging including the deep-linked landing and post-click product experiences that complete the loop.

• Optimize the lifecycle portfolio not just individual sends: improve message inventory relevance personalization prioritization and per-user frequency so users get fewer better-timed messages.

• Build a deep evidence-based picture of the user journey combining product analytics cohort and funnel analysis with qualitative signals like session reviews support themes and user research and use it to find where users stall and what would move them.

• Design and run experiments (A/B tests holdouts incrementality reads) and hold the bar on measurement: retained activity and incremental value not opens and clicks.

• Partner with the Data team to build the measurement system behind lifecycle instrumentation eligibility and audience definitions dashboards and experiment readouts.

• Partner with Engineering to ship campaigns end to end: triggers personalization payloads deep links and the in-product surfaces each journey lands on.

• Define the operating model intake templates approvals QA and quality standards so lifecycle scales across teams without channel chaos or user fatigue.

• Set and communicate strategy to senior stakeholders translating a messy portfolio into a clear multi-quarter direction and defending tradeoffs with data.

• 6 years in product management growth lifecycle/CRM or retention ideally in a consumer mobile or AI product operating at scale.

• Demonstrated ownership of lifecycle or engagement programs that moved a real business metric (activation D30 retention resurrection or conversion) with the analysis to prove it.

• Strong quantitative fluency: comfortable writing your own SQL and working in a BI/analytics tool (Mixpanel Amplitude Hex Looker or similar) to build funnels cohorts and retention curves without waiting on a queue.

• Hands-on experience with a lifecycle/CRM platform (Braze Iterable or similar) segmentation triggered canvases personalization and deliverability.

• Rigorous experimentation judgment: you understand holdouts incrementality sample sizing and the difference between a delivery metric and a value metric.

• Technical and product fluency across event and identity models APIs deep linking and push/email infrastructure enough to design a system with Engineering. Coding not required.

• Excellent written communication and cross-functional influence with a track record of aligning senior stakeholders across Product Engineering Data Design and Marketing.

• Craft-level instinct for messaging: you can write the copy critique the journey and tell when a notification is helpful versus annoying.

• Preferred: experience with AI/consumer-social products localization or multi-market lifecycle and building lifecycle tooling or self-service platforms with Engineering.

Compensation:

The anticipated annual base salary range for this role is between $175000 - $250000. When determining compensation a number of factors will be considered including skills experience job scope location and competitive compensation market data.

Benefits:

• Competitive salary and generous company equity

• Medical dental and vision insurance 99.99% of premiums covered by Cantina

• 42 days of paid time off including:

  • 15 PTO days

  • 10 sick days

  • 15 company holidays

  • 2 floating holidays

• Generous parental leave & fertility support

• 401(k) retirement savings plan

• Lifestyle spending account $500/month to use however youd like

• Complimentary lunch and snacks for in-office employees

• One Medical membership and more!

Required Experience:

IC