Top Tech Jobs & Startup Jobs

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.

Lead causal inference and marketing mix modeling to measure and optimize marketing investments. Drive end-to-end data science work for Growth: define problems with stakeholders, build statistical pipelines, write production code, design and analyze experiments, deploy production models, and participate in on-call rotations to ensure automated campaigns run smoothly.

Lead measurement and optimization of marketing investments using causal inference and MMM. Deliver end-to-end data science solutions for Growth: define problems, build statistical pipelines, productionize models, design and analyze experiments, own roadmaps, and support automated campaigns via on-call rotation.

As Group Product Manager for Verticals at Lyft, you will lead product management across critical transportation areas, managing a team, setting strategic goals, and collaborating with cross-functional partners to enhance user experiences in high-value markets.