Engineering Manager, Dynamic Pricing

About the role

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

The Marketplace organization at Lyft is responsible for accelerating the growth of the business while delivering on key business and financial metrics, and Pricing sits at the heart of it. The Dynamic Pricing & Offer Selection team uses real-time and historical data to set the price of every ride on Lyft, balancing price and ETA so riders have a great experience and drivers have earning opportunities when and where demand is highest. We also decide which ride options a rider sees, which makes our systems one of the highest-traffic, most business-critical services at the company.

We're a tightly integrated team of software engineers and data scientists spread across the US and Canada. Engineers and scientists work side by side to take machine learning and optimization models from research to production while scaling our systems to handle more volume. We are looking for an Engineering Manager to lead a group of 6-8 engineers. You'll own the reliability and evolution of dynamic pricing systems that operate at Lyft's full scale, partner closely with our technical and product leadership to define the roadmap, and grow a strong team of engineers. This is a hands-on leadership role for someone who enjoys going deep on technical tradeoffs, cares equally about operational excellence and business outcomes, and is energized by working in a fast-paced environment with high impact.

Responsibilities:

Execution and Planning

- Own and drive engineering execution for the team's roadmap, from planning through delivery, adapting as priorities and business conditions change

- Define the team's engineering vision and short- and mid-term plans in partnership with Science and Product, making clear tradeoffs between technology, product and business needs

- Facilitate cross-functional decision-making and resolve blockers with partner teams across Marketplace

- Build relationships with key stakeholders to align on standards, identify collaboration opportunities, and keep them informed of risks and dependencies

Technical Leadership

- Understand the team's stack deeply and be accountable for architectural decisions

- Partner with tech leads and scientists to productionize models safely, with strong experimentation, shadowing, rollout and monitoring practices

- Ensure production readiness by setting success metrics, SLAs and reliability standards; own on-call health and serve as an escalation point during incidents, including major events

- Manage tech debt and make sure systems stay reliable, efficient and cost-effective as the platform evolves

People

- Hire, develop and retain a diverse team of engineers, and build an environment where open, positive collaboration between engineering and science is the norm