About the role
We're looking for a Principal Product Engineer who pairs deep engineering craft with strong product instincts. You'll work across the stack - mobile, web, backend - wherever the highest-leverage problem happens to live that quarter. You don't wait for a perfectly scoped ticket; you partner with product, design, and data to figure out what's worth building, then ship it end-to-end.
What you'll do
- Identify, scope, and ship the changes that move business metrics - across mobile, web, services, and data layers
- Architect long-lasting systems that hold up under real production conditions: performance, reliability, scalability, offline behavior, consistency
- Lead technical design reviews across teams, weighing trade-offs not just in code but in product impact, time-to-ship, and operational cost
- Drive operational maturity wherever it's weakest - release management, observability, incident response, performance monitoring - including in the mobile apps
- Partner with PMs, designers, and engineering leaders to shape what we build, why, and in what order; you're a peer in those conversations, not a downstream implementer
- Set the technical bar for the org by example: write the prototype, prove the pattern, then teach it
- Communicate trade-offs clearly to engineers, product partners, and senior stakeholders
What we're looking for
- 10+ years of software experience, with significant time still spent hands-on in code - track record of shipping product-impacting work end-to-end, not just owning a layer
- Real depth in the mobile app ecosystem (iOS and/or Android, with strong fluency in Swift and/or Kotlin and the surrounding ecosystem - offline sync, push, auth, persistence, networking, REST/GraphQL) - and credible breadth beyond it
- Demonstrated breadth: you've worked seriously in at least one of {web frontend, backend services, data/infra, platform tooling} alongside mobile, and can hold your own in code review there
- Strong product judgment: you've made calls about what not to build, and can defend them with evidence
- Comfort troubleshooting in production across stacks - crash analysis, latency tracing, release-health debugging
- Excellent cross-functional collaboration; you make the people around you better
Nice to have
- Background in marketplaces, bookings, or other transactional consumer products
- Time spent close to data - experimentation, analytics instrumentation, or ML-adjacent work