Senior Product Engineer (all genders)

About us
Distribusion is the world’s leading ground transportation marketplace and gives travellers seamless access to ground transportation online, from search to ticket purchase. We have built a cutting-edge B2B technology platform that connects bus, rail, and ferry operators in 70+ countries with the biggest online retailers, including Google Maps and Booking.com.

We are shaping the future of travel and building the largest global network of transport providers and retailers. Having grown 10x in the past year, we are one of the fastest-growing startups in travel. Backed by four leading VCs (TQ Ventures, Creandum, Northzone, and Lightrock), and now, following our recent $80 m Series C, we are ready to push beyond.

The opportunity

We’re looking for an experienced Senior Product Engineer to own and evolve our core systems end-to-end. You’ll join our engineering team and work closely with product, operations, and data stakeholders across the business. Your work will power high-scale systems used by both internal operators and external users, directly impacting large volumes of real-world activity.

What you will do:

• Build a customer-facing transit schedule system that handles hundreds of thousands of bus departures daily. The system serves hundreds of thousands of travellers and is used by hundreds of operators, including operations teams, revenue managers, and planners.

• Build a ticket booking backend that allocates bus seats to travellers. Design smart allocation strategies to maximise seat usage across stops, and handle complex reallocation scenarios such as vehicle swaps, bus merges, and reinforcements.

• Build a revenue management system that dynamically prices seats based on time to departure, demand, and remaining capacity. Support carrier-controlled pricing, A/B testing, and automated pricing algorithms.

• Own and evolve the data transformation layer that powers schedules, bookings, and revenue. Design robust models, incremental pipelines, and clear semantic definitions grounded in real operational data.

• Raise data quality through strong testing, contracts, freshness checks, and monitoring so issues are detected automatically, not by stakeholders.

• Improve development workflows: CI, PR reviews, local testing, and release processes that keep iteration fast and friction low.

• Partner with stakeholders across operations, planning, and revenue. Turn ambiguous problems into clear requirements, challenge assumptions, and align solutions with real-world constraints.

• Drive improvements in tooling and practices, including AI-assisted development, better testing approaches, and scalable self-service capabilities.

Workplace:

Berlin & Hybrid: HQ office in Berlin, where the team often meets.

Remote: We are a remote-first company with teams located around the Globe.