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Retention Product Manager

External
thesiscareers logoThesiscareers · New York, NY
Full-timeOn-siteToday
MoveWebhooks
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About the role

The human brain is the most complex object in the universe, yet society has accepted one-size-fits all approaches to cognition. The "solutions" (think coffee, energy drinks, and even a friend's rx) were mediocre at best and frankly, made no sense to us. So, we created Thesis, the world's first customized nootropics company. If you've never heard that word before, it's just a fancy way of saying brain supplements. In five years, most will be taking nootropics on the daily and chances are, they'll be ours. With an exceptional efficacy rate, the world has taken notice - we've raised over $13M in venture capital, garnered interest from leading neuroscientists and athletes, and established ourselves as the industry's leading brand. Now, we're looking for incredible people to help us share the gift of enhanced cognitive function with the world. If you're looking to be a part of a movement - one that involves both immense self-growth and an ambitious mission to pioneer an industry - we'd love to have you on the team. We are hiring an AI-first Retention Product Manager to own the customer's post-purchase product experience and the operating systems behind our retention programs. This includes app and portal onboarding, subscription management, post-purchase education, loyalty and referral programs, and the AI-enabled production and QA workflows that power our lifecycle marketing. This is a hybrid role for someone with strong lifecycle fundamentals who has grown into product thinking: defining requirements, shipping improvements with engineering, instrumenting outcomes, and treating AI as a core capability rather than a tool they occasionally use. You can build a Klaviyo flow yourself - but you'd rather build the system that produces a hundred of them reliably. How You'll Make an Impact Own retention-impacting product surfaces: app and portal onboarding, subscription management, account experience, and post-purchase education. Design, build, and operate AI-enabled production systems for retention - briefing, email/flow build, QA, research, and reporting workflows. Translate retention strategy into product requirements and ship improvements in partnership with product, engineering, and design. Run experiments that span product and lifecycle touchpoints: in-app prompts paired with email/SMS journeys, cancellation-save experiences, education sequences. Build and operate loyalty, referral, VIP, and advocacy programs - platform selection, integration, and lifecycle activation. Execute hands-on in Klaviyo when needed: flows, segmentation, QA. Instrument retention product work so impact is measurable: event tracking, dashboards, experiment readouts. Document systems and processes so workflows scale beyond you. We're Excited About Your: Experience spanning lifecycle marketing and product management - you've owned a product surface or shipped product work, not just campaigns. A demonstrated AI-native working style: you build with AI tools daily, design workflows around them, and know where they fail. Technical fluency: APIs, webhooks, integrations, automation platforms, and basic data work. You don't need engineering for everything. Solid Klaviyo (or equivalent ESP) skills - enough to execute and to collaborate deeply with lifecycle marketing. Strong experimentation instincts: hypothesis, test design, measurement, honest readouts. High ownership and clear judgment about what moves retention versus what only creates activity.

Requirements

  • Subscription or replenishment-based DTC experience, especially with a companion app or customer portal.
  • Wellness, health, supplement, or consumable product experience.
  • Loyalty or referral platform experience.
  • Light scripting or no-code/low-code build experience.
  • Experience standing up AI/automation workflows for a marketing or CX team.
  • What great looks like:
  • Retention product surfaces have a clear owner, roadmap, and measurable improvement cadence.
  • AI-enabled production systems run reliably with documented QA - operating infrastructure, not experiments.
  • Loyalty and referral move from idea to tested program without new headcount.
  • Product and lifecycle stop being separate lanes: experiments routinely span both.
  • Pay Transparency:
  • A Few of Our Perks and Benefits:
  • 💵 Competitive compensation with an exceptionally generous equity package
  • 🩺 Competitive Health

Benefits

Health insuranceEquity / stock options

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