Engineering Manager, Merchant

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About the role

Groupon connects 42 million customers with local experiences - restaurants, events, wellness and travel - and the million-plus merchants who deliver them. Our mission is to get people offline and into the real world at prices that make it possible. We're an AI-native company in the middle of a platform transformation, moving from a deals marketplace to an experience discovery platform that works for customers and merchants at the same time. Every deal Groupon sells passes through one internal platform — Groupon IQ — where deals are created, checked and published. Seven engineers run it, and AI agents write much of the code. It's absorbing the company's other admin tools one by one; a deal lookup that used to take two minutes now takes thirty seconds. Nobody yet owns its reliability, or decides when agent-written code is safe to ship. You'd own both — and still be in the code. What you'd actually get to build Groupon IQ already runs on the company's modern engineering foundation — the platform the rest of the org is still migrating onto. That's your advantage: you build on the finished thing while making it load-bearing for everyone. • One TypeScript codebase — ~95% of it, in a single repository, on the framework built by ex-Netflix engineers (Encore). • Infra without tickets — declare a database, cache, or queue in a line of code and it's provisioned, wired, and observed for you: 60+ services stood up without a single infra request. • Ship all day — every branch is a full staging environment; one pull request can change 23 services and two frontends and go out as a single deploy. Merges reach production the same day — minutes when it matters. • A workflow engine (Temporal) runs the long processes — purchase flow, deal creation, outreach — reliably and auditably. • AI is native — a shared model gateway and coding-assistant rules wired into every service. Engineers here average ~7 hours of real coding a day (versus ~3 elsewhere at Groupon); agents write real code, and review keeps it honest. Who you'll work with You'll report to Pavel Jakl (B2B Tribe Director), who writes code himself — a player-coach seat, not a calendar-and-1:1s one. You'll lead ~7 engineers across Prague and Bangalore in one codebase. Here, reliability is the product : as IQ absorbs more of the company's tools, more teams depend on it not breaking. Not for you if you want to stop coding, or want a pre-scoped backlog with someone else on the pager. Right for you if you like making a load-bearing platform faster and more reliable as it scales — and deciding how humans and agents build on it. A week in the life • Backend reliability, end to end — a long-running workflow stalls silently; you trace it through the platform's observability (no ticket, no waiting), fix it in one pull request, and write the post-mortem that stops it recurring. • Production code, daily — real output, not a title. • The AI code-review bar — recently an agent traced intermittent database timeouts to a call that never waited for its job to finish, moved every path onto the shared polling client, and added the tests that were missing: agent-written, human-reviewed, shipped. You own the standard that keeps work like that safe to merge. • Absorbing the next tool — IQ is consolidating the company's admin tools; you make each one land without dragging the whole platform down. • Cross-team architecture calls — you make them and defend them. • Mentoring — seven engineers toward end-to-end ownership; feedback within a day, standards written down. Signals you're a fit • There's been a week where your commits and your team's output were both on the line — and both shipped. • You've owned a platform where reliability was the product, and you moved the incident number. • You've revie

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