Senior Data Scientist role at Lyft focuses on causal inference and marketing mix modeling to measure and optimize marketing spend, build production data pipelines, and lead experimental designs.
Senior Security Engineer at Lyft designing and enforcing secure processes, leading security projects, and writing maintainable code to protect company-wide infrastructure. Collaborates cross‑functionally and mentors teams on security best practices.
Data Scientist at Lyft develops optimization algorithms and models for fulfillment. Works with cross-functional teams to drive data-driven decisions.
Senior Marketing Operations Manager at Lyft leading AI-driven campaign execution, platform tooling, and cross-functional strategy in a hybrid Seattle role.
Product Manager for Driver Earnings at Lyft, focusing on improving driver experience, setting product vision, roadmap, and collaborating across teams to drive impact.
Global Equity Program Manager at Lyft supporting worldwide equity programs, compliance, system automation, and cross-functional collaboration.
Senior Software Engineer on Lyft's Marketplace team will lead AI-driven data analytics platforms and pipelines, design backend services, and collaborate with product and data teams to improve business operations. Requires 5+ years experience, Python or Go, and strong communication skills.
Senior Marketing Operations Manager at Lyft in Seattle, leading AI-driven personalized communications for riders and drivers, bridging marketing and engineering, and driving campaign execution and platform strategy.
Senior Security Engineer at Lyft in Seattle, focusing on building secure systems, writing code, leading security projects, and collaborating across teams to protect infrastructure.
Data Scientist on Lyft's Fulfillment team develops optimization algorithms and models to improve ride‑matching and product offerings. Works with cross‑functional teams, requires M.S./Ph.D. and 2+ years experience.
The Global Equity Program Manager at Lyft will design, administer, and scale worldwide equity programs, ensure compliance, drive system automation, and support international expansion while partnering with legal, finance, and people teams.
Product Manager, Driver Earnings at Lyft leads driver-focused product strategy, roadmap, and metrics, collaborating across engineering, design, and data. Requires 3+ years of product experience and strong analytical and communication skills.
Senior Software Engineer on Lyft's Marketplace team will lead AI-driven data analytics platform development, design pipelines, and collaborate with product and data science to improve business operations. The role requires 5+ years of experience, expertise in Python or Go, and strong communication skills.
Senior AI Software Engineer at Lyft will design and lead the development of a scalable, AI‑driven claims management platform. The role involves architectural leadership, cross‑team collaboration, and building automation tools to improve risk operations.
Senior Software Engineer on Lyft's Marketplace team leading AI-driven data analytics platforms, designing pipelines, and collaborating with product and data science to improve business operations.
Senior Security Engineer at Lyft in Seattle, designing and enforcing secure processes, writing code, leading projects, and collaborating cross‑functionally to protect infrastructure.
Product Manager, Driver Earnings at Lyft, focusing on improving driver experience, defining product vision, and leading cross-functional roadmap execution.
The Data Scientist will develop mathematical models and algorithms to optimize Lyft’s fulfillment systems. They will collaborate with engineers and product teams to improve ride‑matching and user experience.
Group Product Manager role at Lyft focusing on Matching and Fulfillment within Rideshare. Responsible for leading PMs, designing algorithms for driver-rider matching, and managing strategy across engineering and science teams. Requires 5+ years PM experience and 2+ years people management.
Lyft is seeking a Senior Software Engineer to lead the development of a highly reliable, scalable, and intelligent Risk Management Information System. This role involves defining technical roadmaps, driving architectural decisions, and collaborating with cross-functional teams to enhance claims management workflows using AI automation.
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