Jobs at Lyft

Design, build, and maintain privacy-focused systems and data pipelines; lead large projects; consult cross-functional teams on privacy-by-design; write high-quality code and documentation; develop controls, testing, remediation, and mentor engineers.

Build and integrate autonomous-vehicle software features, design system architecture, write well-tested maintainable code, participate in code reviews, produce clear design documentation, lead large projects, and collaborate with cross-functional partners to deliver reliable production systems.

Lead cross-functional loyalty product initiatives from ideation through launch and post-launch. Drive program planning, dependency management, KPI ownership, risk mitigation, and stakeholder communications. Partner with engineering, product, data science, design, analytics, and operations to deliver iterative features that increase rider retention and lifetime value, including regulatory and compliance-driven efforts.

Lead a Rider vertical engineering team to deliver 0-to-1 and iterative consumer-facing products. Drive execution, define roadmaps, manage dependencies and risks, ensure observability and reliability, guide architecture and tech debt, maintain team health and career development, and collaborate cross-functionally with product, design, data, and operations.

Lead design and implementation of AI-driven data analytics platforms and pipelines for Lyft's Marketplace. Define architecture and roadmap, build backend microservices and APIs, drive AI innovation (agentic workflows, model evaluation, causal models, anomaly detection), collaborate with product and data teams, resolve incidents, and mentor engineers to improve business operations and metrics governance.

Design, train, and deploy time-series forecasting and real-time ML models to generate marketplace supply and demand signals. Collaborate with engineers, PMs, and business partners to frame problems, perform exploratory data analysis, implement production model code, run backtests and live experiments, monitor model health, and scale tooling to improve marketplace efficiency.

As a Data Analyst at Lyft, you will collaborate with teams to analyze data, streamline processes, and provide actionable insights to improve performance in bikeshare and scooter markets.

Support Lyft's corporate systems in Oracle Procurement and Accounts Payables. Responsibilities include configuration, automation, incident management, and data reporting, alongside managing STP processes and stakeholder communication.

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 lifecycle marketing strategy and experimentation across email, push, SMS and in-app. Design, prioritize, and analyze experiments, partner with Product/Engineering/Data teams, drive creative and incentive strategy, and own performance reporting to optimize engagement and retention.

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.

Manage execution of airport-focused programs and product configurations, support compliance workflows, assist launches and QA, monitor performance with analytics, own assigned projects end-to-end, troubleshoot issues, and drive process improvements in coordination with Engineering, Product, and cross-functional partners.

As a Business Systems Engineer, you'll support Lyft's corporate systems, managing performance, implementing monitoring tools, and developing solutions for business stakeholders in financials and supply chain.

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.

The Senior AI Software Engineer will lead architectural decisions and drive the development of a scalable Risk Management System, collaborating with various teams to enhance claims management efficiency while implementing AI solutions.

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.

The Senior AI Software Engineer will lead the development of a Risk Management Information System, enhancing claims management through AI and collaboration with various stakeholders. Responsibilities include defining technical roadmaps, providing architectural leadership, and delivering scalable solutions.

Lead end-to-end development, launch, and sustainment of station hardware products and a global fleet of charging/non-charging stations. Drive cross-functional alignment, set roadmaps and success metrics, resolve systemic product issues, and represent Lyft externally. Collaborate with engineering, design, data science, operations, and software PMs to deliver cohesive rider, operator, and city experiences.

Lead end-to-end product design for driver earnings, payments, and identity verification. Collaborate with PMs, engineers, and data scientists to research, prototype, and deliver secure, user-centered experiences that reduce friction and prevent fraud.

Responsible for supporting Lyft's corporate systems through integration management, incident response, and automation, requiring expertise in Oracle Fusion ERP and related technologies.