Jobs at Lyft

Develop and operate scalable pricing systems and infrastructure for Lyft’s Marketplace organization. Build distributed systems, data pipelines, forecasting and experimentation capabilities; manage pricing data storage and sharing; collaborate with Product and Science teams from planning through launch; write tested, maintainable code; participate in reviews; and promote engineering best practices.

Build production data pipelines, analytics tools, dashboards, semantic-layer assets, and automated workflows supporting Lyft Business sales and account teams. Define trusted metrics, analyze sales performance, identify account and territory insights, and translate findings into clear recommendations for technical and non-technical stakeholders. The role partners across Sales, Product, Finance, Legal, and leadership while influencing business decisions through accurate, actionable analysis.

Analyze marketplace trends, financial and product levers, budgets, and competitive insights to support Lyft’s Rideshare growth strategy. The role develops forecasting, reporting, business reviews, recommendations, and execution plans while partnering with cross-functional stakeholders and leadership. It requires strong SQL, quantitative analysis, communication, attention to detail, and the ability to improve processes and operate effectively amid ambiguity and change.

Analyze spatial and product data to improve Lyft’s mapping, routing, and travel-time estimation products. The role designs online experiments, develops performance metrics and analytical frameworks, identifies growth and efficiency opportunities, and translates insights into product and business decisions. The Data Scientist partners with engineers, product managers, and operators while communicating recommendations to senior stakeholders. Responsibilities also include monitoring rider and driver experience and applying statistical analysis, programming, visualization, and machine learning techniques.

Supports finance technology applications across ERP, HCM, procurement, supply chain, and FP&A. Builds automation workflows using Workato and Python, writes SQL queries, validates data, prototypes AI solutions, configures Jira automation, develops reports, tests integrations, gathers requirements, and provides user support. The intern collaborates with finance, HR, IT, and engineering stakeholders while learning agile methods, systems integration, and finance transformation.

Own Salesforce enterprise architecture across multiple orgs, including acquired-company CRM consolidation, data migration, integration, and multi-org governance. Define scalable Salesforce solutions, data models, security, sharing, and integration patterns; guide engineering standards, CI/CD, testing, and platform adoption. Partner with Sales, RevOps, Marketing, Finance, Privacy, Legal, and Security on architecture, compliance, and GTM systems. Mentor teams and lead strategic programs involving middleware, identity resolution, data harmonization, and legacy-system decommissioning.

Support Lyft’s internal content system by developing information architecture, improving publishing workflows, and creating connected content experiences. Partner with design, research, engineering, marketing, and product teams on UX writing and learning design projects. Translate complex concepts into clear UI copy, notifications, errors, and educational materials while maintaining Lyft’s brand voice. Manage multiple projects, evaluate strategy and metrics, and contribute to content systems across the UI, learning center, and knowledge base.

Develop and maintain scalable, fault-tolerant software for Lyft’s Rider organization. Responsibilities include writing tested code, participating in code reviews and on-call support, debugging distributed systems, managing project deliverables, collaborating with product and engineering teams, improving processes, establishing architecture and roadmaps, and mentoring junior engineers.

Supports treasury operations across Lyft’s entities, including daily cash positioning, liquidity optimization, banking infrastructure, payments, trade settlements, letters of credit, and Treasury Management System implementation. The role also supports SOX compliance, audits, M&A integration, process automation, internal controls, and ad hoc treasury projects. It requires collaboration with internal and external partners in a fast-paced, multinational environment.

Leads marketing strategy and operations by managing annual planning, budgets, quarterly reporting, campaign execution, marketing technology, process optimization, and data-driven performance analysis. Partners with Finance, Analytics, leadership, and cross-functional teams to align goals, improve efficiency, support marketing staff, and execute company-wide initiatives. The role is hybrid in Toronto, requiring at least three office days weekly.

Owns end-to-end AV partner audits across multiple markets, coordinating evidence collection, compliance readiness, mitigation, corrective actions, and audit closeout. The role manages cross-functional stakeholders, improves audit tracking systems, develops repeatable playbooks, prepares teams for reviews, and reports risks and timelines to leadership. Candidates need program management or audit experience in regulated or standards-driven environments, strong documentation discipline, and familiarity with safety-critical industries such as autonomous vehicles, automotive, or aviation.

Architects and deploys AI agents, intelligent workflows, and enterprise integrations across business functions. Partners with stakeholders to identify AI opportunities, build ROI-focused business cases, and implement scalable solutions. Develops reusable frameworks, monitors workflow performance, leads training and enablement, builds an AI community of practice, and evangelizes agentic AI best practices. Requires extensive integration, automation, cloud, API, enterprise SaaS, LLM, RAG, and agent-framework experience.

Own domain datasets, data pipelines, business metrics, and quality checks that support Lyft’s marketplace decisions. Build reliable analysis-ready data, deliver metrics to stakeholders, and partner with product managers, engineers, and operators to translate data into action. Communicate analytical findings clearly and maintain trusted data products with executive visibility.

Build and maintain Lyft’s identity and account security systems, including login, signup, MFA, 2FA, email verification, SSO, session management, OAuth provisioning, device validation, RBAC, authorization, and multi-user management. Develop scalable microservices, prevent fraud and unauthorized account access, address social engineering and recycled-phone abuse, and balance verification security with user experience. Collaborate cross-functionally, document designs, promote engineering best practices, and mentor teammates.

Contribute to designing, training, testing, and deploying machine learning models and production pipelines. Collaborate with product managers, data scientists, and ML engineers to solve business problems, analyze data, communicate findings, and participate in code and specification reviews. The intern will apply research papers in working code, build efficient ML workflows, and develop high-quality software in a collaborative environment.

Conduct qualitative and quantitative UX research for Lyft drivers and riders using interviews, usability testing, field research, surveys, diary studies, and other methods. Analyze research data, develop actionable insights, and communicate recommendations that guide product and design improvements. Collaborate with Design, Product Management, Analytics, Engineering, and senior researchers while gaining mentorship and contributing to user-facing products.

Backend software engineering intern responsible for owning projects, writing and improving code, testing for reliability, participating in code reviews, and supporting continuous integration and deployment. The role requires strong computer science fundamentals, database experience, real-time technology problem-solving, and potential mobile development experience. The internship is based in Toronto during Summer 2027 with a hybrid in-office schedule.

Data Engineer Intern supporting large-scale data projects at Lyft. Responsibilities include owning an internship project, improving code quality, writing tests, participating in code reviews, and contributing to continuous integration and deployment. The role requires database experience, SQL and data modeling knowledge, strong computer science fundamentals, and effective communication. This hybrid Toronto internship is available during Summer 2027.

Software Engineer Intern working on full-stack, user-facing Lyft products. Responsibilities include developing and refactoring code, writing unit, integration, and load tests, participating in code reviews, and supporting continuous integration and deployment. Candidates should have web development experience with Python, JavaScript, React, TypeScript, databases, testing tools, browser technologies, and Git. The internship is based in Toronto during Summer 2027 on a hybrid schedule.

Data Science interns develop optimization, machine learning, and statistical models for Lyft’s transportation marketplace. Responsibilities include exploratory data analysis, production modeling code, algorithm implementation, simulated and live experiments, analysis of experimental and observational data, and communicating findings to cross-functional partners. Interns collaborate with engineering and product teams to support launch decisions.