Top Tech Jobs & Startup Jobs

Lead day-to-day operations of a 24/7 AV depot: manage vehicle flow, resources, SOPs, KPIs, safety, on-site teams, vendor and partner relationships, and continuous process improvements to maximize fleet uptime and scalability.

Lead architecture and technical roadmaps for Lyft Business platform. Own large-scale distributed systems reliability, observability, performance, and cross-team delivery. Mentor engineers, drive tech debt reduction, establish deployment/on-call best practices, and align product, design, and operations to deliver enterprise integrations and rider/admin experiences.

Support Bluebikes operations by developing and executing operational plans, monitoring performance, creating SOPs, performing field quality checks, conducting root-cause analysis, managing invoicing and asset tracking, auditing SLAs, and coordinating with city partners, vendors, and contractors to drive continuous improvement and customer experience.

As an Applied Scientist at Lyft, you will develop ML and optimization models for dynamic pricing, collaborate across teams, and implement algorithms to enhance rider experience.

Lead and grow a cross-functional engineering team building backend and mobile fleet products. Set technical vision and product strategy, prioritize technical investments, mentor engineers, hire diverse talent, ensure scalable, highly-available delivery, and collaborate with Product, Design, Science, and Operations to drive business impact.

Support daily field operations and contractor management for Capital Bikeshare; own invoicing and asset tracking; audit SLAs, analyze root causes using data, maintain city partner relationships, and drive continuous operational improvements and SOPs.

Lead strategy, roadmap, and execution for Lyft Ads' ad serving platform. Own product lifecycle from ideation to launch and growth, align cross-functional partners, drive yield management and integrations with demand/supply partners, set metrics, and run experiments to optimize advertiser outcomes and rider experience.

Lead and execute risk-based internal audits across technology and business domains, perform risk assessments, recommend control improvements, support ERM, manage co-sourced partners, and drive audit automation and continuous improvement.

The Senior Software Engineer at Lyft will architect solutions, write maintainable code, lead projects, and collaborate across teams to resolve technical challenges, focusing on enhancing the rideshare experience.

Lead causal inference and marketing mix modeling to measure and optimize marketing investments. Define problems with stakeholders, build statistical pipelines and production models, design and analyze experiments, deploy solutions, and support automated campaigns via science on-call rotation to drive Growth outcomes.