Jobs at Lyft

Supports digital advertising campaigns from setup through launch, QA, optimization, reporting, and troubleshooting. Implements tracking technologies, analyzes campaign performance, conducts A/B tests, and provides data-driven recommendations. Collaborates with sales, account management, product, and engineering teams while ensuring campaigns comply with advertising policies and regulations.

Manage customer success for Lyft Business transportation programs. Serve as the primary contact for product functionality, billing, and service issues; lead implementations and onboarding; conduct product demos; monitor and optimize program usage; troubleshoot issues; and coordinate with sales, product, support, finance, legal, and other teams to improve customer outcomes.

Supports actuarial data pipelines, monitoring dashboards, pricing, reserving, financial reporting, and competitive analysis for auto insurance products. Collaborates with Engineering, Data Science, Operations, Finance, Legal, and Public Policy teams. The role requires strong SQL and actuarial analysis skills, with opportunities to use ETL, R, Python, and automation while pursuing FCAS development.

Leads internal communications strategy for designated business areas, advising senior executives and translating priorities into clear company-wide messaging. Owns communications roadmaps, multi-quarter programs, crisis response, change management, and impact measurement. Partners cross-functionally, communicates complex topics to global and distributed workforces, maintains brand voice, and mentors team members. The role requires strategic thinking, excellent writing, executive presence, adaptability, and practical use of AI to improve communications effectiveness.

Lead strategic, cross-functional technical programs for Lyft’s core acquisition products. Develop integration roadmaps, playbooks, release plans, and dependency-management strategies; coordinate engineering, product, and business stakeholders; identify systemic risks; and drive iterative delivery across large-scale distributed production systems. The role requires technical depth, executive communication, autonomous decision-making, and the ability to influence teams in ambiguous, matrixed environments.

Own the vision, roadmap, metrics, and optimization strategy for Lyft’s base pricing systems. Lead pricing granularity, cost modeling, dynamic pricing integration, portfolio optimization across ride types, impact estimation, and autonomous vehicle pricing. Partner with engineering, data science, analysts, and market management teams to define requirements, prioritize initiatives, run experiments, evaluate results, and communicate decisions to executives.

Own the roadmap for Lyft’s rider-facing ML and AI products across the Rider Application. Define model objectives, product metrics, experiments, rider value strategies, and personalization capabilities. Partner with machine learning engineers, data scientists, and stakeholder teams to drive adoption, financial outcomes, and model performance. Lead product requirements, planning, executive presentations, and cross-functional delivery for technically complex products.

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.

Develop pricing and rider-engagement algorithms, including incentive, budget-management, and real-time optimization systems. Build and deploy statistical, machine-learning, and optimization models in production using Python. Design experiments, establish product metrics, analyze marketplace outcomes, and identify business opportunities. Partner with Product, Engineering, Analytics, business teams, and executives to frame problems, guide roadmaps, and communicate data-driven recommendations.

Lead Lyft Business engineering team execution, roadmap planning, technical direction, architecture reviews, reliability practices, and engineer development. Partner with product, design, science, analytics, and marketing teams to deliver consumer and B2B2C products. Manage team health, hiring, resourcing, performance, cross-team collaboration, and end-to-end project delivery while maintaining technical and operational excellence.

Own Lyft’s autonomous vehicle Safety Management System across policy, risk management, assurance, and promotion. Responsibilities include authoring safety policies, conducting risk assessments, tracking corrective actions, analyzing safety indicators, coordinating audits, running the Safety Review Board, engaging AV partners, and delivering safety readiness programs for launches and integrations.

Lead architecture and technical strategy for Lyft’s luxury ride-sharing systems across backend, frontend, iOS, and Android. Own technical roadmaps, cross-team dependencies, system reliability, observability, performance, and deployment practices for highly available distributed systems. Influence product and operations decisions, mentor engineers, conduct interviews, and drive engineering excellence across the organization.

Lead lifecycle marketing strategy and experimentation across email, push, SMS and in-app. Design tests, prioritize roadmap, partner with Product/Engineering/Data teams, own reporting, and drive creative and incentive strategies to increase rider and driver engagement and retention.

Manages commercial insurance program renewals, advises internal teams on risk and coverage, coordinates with brokers and carriers, negotiates insurance terms, tracks coverage and rates, and supports certificates, policy reviews, submissions, and stewardship meetings.

Develop and deploy dynamic pricing and offer-selection models using statistical, machine learning, and optimization techniques. Analyze large datasets, conduct simulated and live experiments, evaluate causal and observational results, and communicate recommendations to Product, Engineering, and executive stakeholders. Collaborate cross-functionally to formalize business problems, write production code, and influence pricing roadmaps.

Conduct an open-ended machine learning research project tied to Lyft products. Responsibilities include developing and evaluating reinforcement learning, personalization, and sequential decision-making models; building production-quality ML pipelines; analyzing experiments; collaborating with product and technical teams; communicating findings; and preparing research for publication.

Manages procurement center-of-excellence initiatives, including process standardization, workflow automation, policy compliance, continuous improvement, stakeholder training, documentation, and supplier relationship management. Partners with supply management and cross-functional teams to improve procurement effectiveness, user experience, and risk mitigation. Leads procurement workflow enhancements, change management, KPIs, and sourcing support for mergers, acquisitions, and business expansion.

Develop LLM-based Rider Agents and agent-based simulations that model rider behavior. Build evaluation pipelines to measure simulation fidelity against human data and historical experiments, analyze emergent behaviors, conduct ablation studies, and apply simulations to product experimentation and iteration. Communicate findings to science, engineering, and product partners.

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.

Manage Flexdrive’s autonomous vehicle operating-readiness program by maintaining timelines, RAID logs, readiness roadmaps, scorecards, and documentation. Coordinate infrastructure, hiring, fleet operations, finance, treasury, legal, analytics, and other workstreams to align dependencies and meet deployment milestones. Support leadership reviews, escalate risks, improve processes, and develop scalable market-readiness playbooks for domestic and international AV fleet operations.