Jobs at Lyft

Design, build, and deploy production ML systems across pricing, marketplace optimization, fraud and behavior detection, and agentic LLM applications. Own models end-to-end, implement feature pipelines and serving infrastructure, evaluate performance against KPIs, run experiments, and collaborate with data scientists and engineers to scale ML solutions for Lyft Business.

The Software Engineer at Lyft will innovate user solutions, lead features, and collaborate with cross-functional teams to improve ride and driver experiences using Python, Golang, and AWS.

Lead marketing strategy and go-to-market launches for Lyft's luxury ride products. Influence product roadmap using customer insights, own full-funnel outbound campaigns, manage cross-functional launches, commission research, and oversee creative development to drive engagement and growth.

Build backend infrastructure and APIs to integrate Lyft with emerging AI ecosystems and devices. Design scalable distributed systems, mentor engineers, drive high-impact projects, write and review maintainable code, participate in on-call rotation, and collaborate cross-functionally to deliver production-grade AI-enabled features.

Build and maintain core map data ingestion, conflation, and quality infrastructure to improve ETA accuracy and pickup precision. Lead features end-to-end, collaborate with cross-functional teams, write well-tested backend code, operate distributed systems, and participate in on-call rotations and knowledge sharing.

Lead and integrate Knowledge Management, Quality, Learning & Performance, and Tooling Enablement to scale Lyft’s customer support. Set vision and OKRs, drive AI-native adoption, partner with Product/Engineering/Operations, remove execution blockers, and build high-performing teams to improve customer outcomes.

Serve as the bridge between People teams and engineering to architect AI-first HR/People solutions. Define roadmaps, design business processes, write requirements/user stories, and guide integrations across Workday, ATS, and boundary apps. Drive AI-enabled automation, responsible AI frameworks, ROI cases, data/privacy compliance, and support M&A People systems integration while influencing stakeholders and ensuring delivered solutions meet business objectives.

Lead and manage a team of product designers to own the core Lyft rider journey. Define vision and roadmap, ensure craft quality and consistency across high-traffic experiences, partner with product and engineering on strategy and platform-level execution, drive migrations and AI-native tooling adoption, and connect design work to business outcomes like conversion and retention. Represent Rider Design in cross-functional and senior leadership forums.

Support execution of Social Impact programs (Round Up & Donate, Jobs Access, Disaster Response). Coordinate ride code and sponsorship processes, manage partnerships, maintain data tracking and budgets, prepare briefings and communications, and handle cross-functional project coordination and invoicing.

Lead analytics for Safety & Customer Care by partnering cross-functionally to define metrics, build dashboards, design and analyze A/B tests, monitor KPIs, and deliver data-driven recommendations to improve customer support experience and inform senior leadership.

Design and implement scalable, low-latency backend systems for Lyft Pricing. Lead multi-person projects, write maintainable and tested code, mentor teammates, participate in incident response, and collaborate with Product and Science on pricing solutions.

Partner with the Self-Serve product team to measure and optimize the acquisition-to-engagement funnel. Build reusable datasets and dashboards, validate instrumentation, run deep-dive analyses and experiments, and translate insights into narratives for technical and non-technical stakeholders to inform product and go-to-market strategy.

As an iOS Tooling Engineer, you will enhance mobile development systems, manage projects, maintain CI infrastructure, and support iOS applications while collaborating with a team of engineers.

The Oracle EPM Engineer supports Lyft’s Corporate consolidations systems, optimizing performance, managing incidents, and creating automated workflows while collaborating with finance and technology stakeholders.

Join Lyft's Mobile Tooling team to create and maintain infrastructure for mobile builds, enhancing productivity with tools and automation for hundreds of engineers.

Lead Lyft Product Language (LPL) design system strategy, team, and execution across mobile, web, and brand. Manage and develop design systems designers and illustrators, ensure cross-platform coherence, accessibility (WCAG), localization, and quality. Partner with engineering and product to own component contribution, review, and release processes, and drive AI-enabled tooling and adoption.

Lead technical integration of acquired companies into Lyft's IT environment, migrating SaaS and identity systems (Okta), automating workflows and APIs, writing runbooks, and partnering with IT, Security, and vendors to ensure smooth M&A platform consolidations.

This role involves using data analysis to support marketing strategy, measuring campaign impact, and developing insights to inform marketing decisions.

Owner of forecasting and capacity models for global customer support; translate complex data into actionable staffing plans, maintain dashboards and reports, leverage AI tools to accelerate analysis, and partner with operations leadership to align resourcing and improve planning processes.

Support driver earnings and marketplace teams with SQL-driven analysis, reporting, and financial reconciliation. Provide insights, track product performance, support experiments, prepare leadership business reviews, and develop processes and playbooks to improve earnings products and reduce errors.