AI Product Manager, Merchant Experience

Groupon

About The Position

Groupon is a marketplace where customers discover new experiences and services everyday and local businesses thrive. To date we have worked with over a million merchant partners worldwide, connecting over 16 million customers with deals across various categories. In a world often dominated by e-commerce giants, we stand out as one of the few platforms uniquely committed to helping local businesses succeed on a performance basis. Groupon is on a radical journey to transform our business with relentless pursuit of results. Even with thousands of employees spread across multiple continents, we still maintain a culture that inspires innovation, rewards risk-taking and celebrates success. The impact here can be immediate due to our scale and the speed of our transformation. We're a "best of both worlds" kind of company. We're big enough to have the resources and scale, but small enough that a single person has a surprising amount of autonomy and can make a meaningful impact. The Opportunity Groupon connects millions of customers with local merchants—and that connection starts with the merchant experience. From landing page to sign-on to deal launch to GP30, this is where we build durable value (and where clunky processes go to die). We're going all-in on AI-native, automation-forward workflows that eliminate friction, help merchants activate faster, and drive real business impact. Not "strategic initiatives." Actual results you can measure in dollars. This is not a roadmap-maintenance role. This is a build-it, test-it, prove-it role.

Requirements

6–8 years of product management experience, with 2+ years in AI/ML or automation-forward product work
Hands-on with modern AI tooling (Claude Code, Cursor, or equivalent) for rapid prototyping and validation
Experience designing and running controlled experiments (LaunchDarkly, GrowthBook, or equivalent)
Strong instrumentation and analytics skills—defining event schemas, funnels, cohorts, and success metrics in tools like PostHog, Mixpanel, Amplitude, or similar
Fluent in data analysis (SQL minimum; Python preferred)
Proven track record of shipping under ambiguity and making decisions with incomplete information

Nice To Haves

Engineering degree or prior engineering role
Marketplace / e-commerce / B2B SaaS background
Experience with merchant-facing or SMB products
Background in health, beauty, or wellness verticals (you know what merchants in these categories actually care about)
Has built lightweight evaluation frameworks for LLM or automation features
Has killed their own features when the data said to