DiscoverStartupsQuit GeniusJobs at Quit Genius: Explore current Opportunities
Quit Genius company logo
The #1 digital clinic for tobacco, alcohol and opioid addictions51-200 Employees
  • B2C
  • B2B
  • Growth Stage
    Expanding market presence
  • Top Investors
    This company has received a significant amount of investment from top investors
  • YC Funded
    Startup funded by Y Combinator

Jobs at Quit Genius

Quit Genius is a multi-award-winning mobile therapy program to help smokers quit for good. Since launching in June 2017 we've experienced incredible user growth and are already the world leaders in quitting smoking. We are backed by some of the most prestigious investors in San Francisco and London including Y Combinator and Village Global (backed by Jeff Bezos, Mark Zuckerberg and Bill Gates). Apple has made Quit Genius the main feature on the App Store worldwide in over 35 countries. Also, the app works - we’ve published 3 peer-reviewed papers and have already helped tens of thousands of people quit smoking, for good. What we do saves lives and hearing all the incredibly positive feedback from our users on a daily basis is incredibly rewarding. Our team is made up of doctors, designers and engineers who have a passion to make a positive impact on the lives of people. We're a team of lifelong learners - we care about challenging and improving each other as well as our product. We constantly experiment to discover what makes our users tick, and we take a data-driven approach to product development. We want to work with like-minded people who care about devoting their time to building products that can have a real impact on the lives of millions of people around the world. At Quit Genius (Digital Therapeutics, Inc), our mission is to create a personalized virtual therapy platform that will not just help people quit smoking but also manage other addictions, mental health conditions and live a healthier lifestyle.
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Sr. Analytics Engineer

NewPosted 1 month ago

Sr. Analytics Engineer

  • Architect and own scalable dbt model layers that serve analytics, experimentation, AI, and downstream ML workflows
  • Set the standard for transformation logic, documentation, and observability across the data stack
Engineering

Engineering Manager

NewPosted 2 months ago

Engineering Manager

  • Outcome-driven: Engineers are given problems to solve, not just features to build. Success is measured by learning, impact, and outcomes—not velocity alone
  • AI-native: We use AI across the SDLC to accelerate implementation, testing, and review. Engineers focus on defining intent, validating behavior, and designing resilient systems
Engineering

Product Engineer

NewPosted 2 months ago

Product Engineer

  • Outcome-driven: Engineers are given problems to solve, not just features to build. Success is measured by learning, impact, and outcomes—not velocity alone
  • AI-native: We use AI across the SDLC to accelerate implementation, testing, and review. Engineers focus on defining intent, validating behavior, and designing resilient systems