Engineering Manager, Rider Verticals

Group Product Manager, Verticals

Lyft

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft connects people to transportation to change the way we live and get around our communities. We are looking for product managers who bring exceptional creative and analytical skills to drive forward a best in class product. Product management at Lyft leads the integration of engineering, data science, and design to achieve the company’s vision for reinventing transportation. We are looking for entrepreneurial and passionate Product Managers to innovate and execute across a rapidly growing, fast paced company and industry from our San Francisco headquarters. Lyft’s Verticals team owns three of the most strategically important and operationally complex marketplaces in our business: airports, scheduled rides, and events. These moments matter most. Airports are a defining touchpoint in the Lyft experience—high-stakes, high-complexity, and critical to both rider trust and driver earnings. Scheduled rides give riders confidence and control while providing drivers with greater predictability. Events—from packed stadium concerts to sold-out games—require precision logistics and seamless coordination at scale. Together, these verticals represent some of the highest-intent, highest-value use cases on the Lyft platform. As Group Product Manager for Verticals, you will define how millions of people plan, book, and experience their journeys across these critical moments. You’ll lead a high-performing team of PMs to build seamless booking flows, deeply personalized experiences, and robust integrations with travel and event partners—owning the end-to-end product across all three verticals.  You’ll take on some of the most complex challenges in rideshare: optimizing rider-driver matching in dynamic, high-variability environments; advancing demand forecasting; improving real-time driver guidance; and designing targeted incentives that drive growth.  Working closely with Product Design, Data Science, Engineering, and Business teams, you’ll bring strong customer empathy, sharp product judgment, and a relentless ownership mindset. This is a highly visible role with outsized impact on Lyft’s core business, requiring you to balance the needs of riders and drivers in fast-moving, operationally intensive environments. RESPONSIBILITIES: * Manage and grow a team of product managers, providing development, mentorship, and coaching to help them achieve their goals and Lyft's goals * Set an ambitious vision for the Verticals team that motivates your team, peers, and leadership — and that accounts for the distinct dynamics of airports, scheduled rides, and events * Understand Lyft's strategic and competitive position. Set your team's goals and success metrics that align with Lyft's mission and drive maximum impact based on data analysis, market research, and usability studies * Completely own your team's products — existing and new — from ideation through development, experimentation, launch, growth, and maintenance, caring deeply about both rider and driver experiences * Lead and align cross-functional partners including engineers, designers, data scientists, analysts, marketers, business partners, and operations to drive a shared vision * Communicate clear roadmaps, priorities, experiments, and decisions across a wide spectrum of audiences from partner teams to executive leadership EXPERIENCE: * 6+ years of experience in product management, product design, or equivalent consulting experience with significant time spent leading consumer mobile apps or marketplace products * 2+ years of experience managing product managers * Experience working with or alongside data science and operations teams on complex, products; familiarity with experimentation, marketplace dynamics, or logistics is a plus * Passion for Lyft and what we are trying to achieve in sustainable urban transportation * Natural ability to make things happen around you — you manage project ambiguity, complexity, and interdependencies in an organized and structured way * Strong ability to define and analyze metrics that inform the success of products and the health of the business * Excellent judgment and thoughtfulness about the dynamics of a product ecosystem * Strong communication skills and intuition for communication strategy at every level — within teams, with partner teams, and to executive leadership * Ability to conceptualize, manage, and prioritize multiple projects for stakeholders * Detail oriented with superior organizational skills — balancing multiple projects, deadlines, and requests should be second nature to you BENEFITS: * Great medical, dental, and vision insurance options with additional programs available when enrolled * Mental health benefits * Family building benefits * Child care and pet benefits * 401(k) plan with company match to help save for your future * In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off * 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible * Subsidized commuter benefits * Monthly Lyft credits and complimentary Lyft Pink membership Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid The expected base pay range for this position in the San Francsico area is $176,000-$220,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Associate Program Manager, Technical Operations

Lyft

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Tech Ops team sits at the intersection of data and ground-level operations. We tackle some of Lyft's most complex operational challenges — managing the products, services, and compliance workflows that shape the airport experience for drivers, riders, and partners. Our work spans dispatch configuration, regulatory compliance, and cross-functional communications, with our decisions directly affecting driver livelihoods, rider experience, and Lyft's relationships with airport authorities and regulators. As an Associate Program Manager, you'll own execution of projects and components within larger programs, developing deep subject matter expertise in airport operations and driver products. You'll work alongside senior managers and cross-functional partners in Engineering, Product, and Business Development — executing with high quality, flagging issues proactively, and continuously improving the processes you own. RESPONSIBILITIES * Airport Products & Driver Experience * Execute and maintain airport product configurations (dispatch, queuing, blackouts, rematch) in coordination with senior team members and Engineering partners, following established playbooks and documenting changes * Support rider-facing product setups including Rider Wayfinding, Static ETA Banners, Reassurance Banners, and Airlines-Terminals configurations * Participate in new feature launches and configuration rollouts, supporting QA testing in staging environments and flagging post-launch issues * Monitor program performance using existing dashboards and analytics tools; surface trends and escalate anomalies with appropriate context * Support Ground Truth Surveys and Client Feedback reviews, identifying and documenting operational issues and improvement opportunities * Compliance & Regulatory * Execute compliance workflows including XL mode revoking, Queue Education communications, and Placards/Emblems processes following documented SOPs * Maintain geofence configurations using tools like Geofence Reporter and Geohashes, with oversight from senior team members * Support periodic audits and documentation, escalating issues and ensuring accurate records across assigned program areas * Program Execution & Process Improvement * Own execution of assigned projects and workstreams end-to-end, with clear oversight and guidance from senior managers * Identify opportunities to improve and automate repetitive processes, documenting improvements for team use * Serve as the go-to troubleshooter for your subject area — independently diagnosing issues and escalating with relevant context when needed * Provide status updates to stakeholders and cross-functional partners; ask clarifying questions upfront to avoid rework EXPERIENCE * 2–4 years of experience in program management, technical operations, or a related field * Comfortable with SQL for basic to intermediate data queries; able to read and interpret dashboards and run ad-hoc analysis * Familiarity with GitHub or similar version-control/config tools; willingness to learn and execute configuration changes following established processes * Strong attention to detail and follow-through — you complete what you start and document what you did * Clear communicator who proactively flags blockers and keeps stakeholders informed without being prompted * Comfortable operating in ambiguous, fast-paced environments; able to reprioritize based on urgency and business need * Proficient in G Suite and project tracking tools (e.g., Jira) BENEFITS: * Extended health and dental coverage options, along with life insurance and disability benefits * Mental health benefits * Family building benefits * Child care and pet benefits * Access to a Lyft funded Health Care Savings Account * RRSP plan with company match to help save for your future * In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service  * Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible. * Subsidized commuter benefits and Lyft ride credits Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.  Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid The expected base pay range for this position in the Toronto area is CAD $79,6000 - CAD $99,500, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process. Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions. This job fills an existing vacancy.

Machine Learning Engineer, Lyft Business & Ads

Lyft

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Machine Learning is at the heart of Lyft’s products and decision-making. Machine Learning Engineers at Lyft operate in dynamic environments, moving quickly to build the world’s best transportation solutions. We tackle a wide range of challenges, from pricing and marketplace frameworks that ensure reliability and competitiveness, to agentic AI platforms that automate analytical workflows, to behavioral detection systems that protect the integrity of our network. We operate at the intersection of applied ML and real business impact, shipping models that directly influence revenue, rider experience, and partner trust. Lyft Business builds products that help organizations move the people who matter most—employees, customers, patients, and guests—easily and efficiently. Our offerings include Business Travel, Lyft Pass, and Concierge (for healthcare and non-healthcare rides), enabling companies to manage transportation at scale through APIs, integrations (e.g., Concur, Expensify), and dedicated tools. These platforms power high-impact B2B use cases across corporate travel, healthcare access, customer experience, and community programs. We're looking for a Machine Learning Engineer to design, build, and deploy ML systems across Lyft Business. This is a high-scope role: you won't be siloed into one problem area. Instead, you'll move across pricing algorithms, fraud and behavior detection, agentic AI systems, and emerging ML applications as the business evolves. You'll write production-quality code, own models end-to-end from prototyping through deployment, and collaborate closely with Data Scientists, Product Managers, and Software Engineers to translate complex business problems into scalable ML solutions. This role is ideal for someone who is technically versatile, energized by variety, and wants to see their work directly shape a large-scale business. RESPONSIBILITIES: * Develop and deploy ML models across multiple problem domains — including dynamic pricing, marketplace optimization, fraud detection, and anomaly/behavior detection — in production environments serving millions of rides * Build and iterate on agentic AI systems (e.g., LLM-powered analytical agents) that automate decision-making and reduce operational overhead * Design and implement feature pipelines, model training workflows, and serving infrastructure using Lyft's ML platform * Partner with Data Scientists on the Algorithms and Decisions teams to take research prototypes from proof-of-concept to production at scale * Evaluate ML system performance against business KPIs, run experiments, and drive continuous model improvement * Identify new opportunities where ML can create leverage across Lyft Business verticals (Healthcare, Lyft Pass, Business Travel) and pitch solutions * Contribute to team engineering standards — code quality, observability, documentation, and testing practices EXPERIENCE: * Experience with GenAI / LLM ecosystems — prompt engineering, RAG, agent frameworks (e.g., LangChain, LangGraph), or fine-tuning * Exposure to graph-based ML methods (graph neural networks, knowledge graphs, network analysis) * Experience with pricing, marketplace, or fraud-related ML problems * Familiarity with cloud ML services (AWS SageMaker, Bedrock) or internal ML platforms * Track record of identifying and scoping ML projects independently, not just executing on pre-defined specs BENEFITS: * Extended health and dental coverage options, along with life insurance and disability benefits * Mental health benefits * Family building benefits * Child care and pet benefits * Access to a Lyft funded Health Care Savings Account * RRSP plan with company match to help save for your future * In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service  * Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible. * Subsidized commuter benefits and Lyft ride credits Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.  Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid The expected base pay range for this position in the Toronto area is CAD $118,800 - CAD $148,500, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process. Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions. This job fills an existing vacancy.