lyft

<p>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.</p>
<p>With over half a billion rides and counting, Lyft is solving hard problems in a flourishing domain with a lot of data and creative solutions in Marketplace, Mapping, Fraud, Growth and beyond. We're actively building the next-generation Machine Learning (ML) platform for low-cost, ultra-immersive transportation to improve people’s lives using modern ML with petabyte-scale data. Our Machine Learning Engineers are excited to work on these challenging problems and redefine solutions to directly impact various aspects of Lyft's primary business.</p>
<p>As a PhD Machine Learning Engineer Intern on our Applied AI team, you'll take on an open research problem tied to product experiences used by millions of riders. Working closely with a Staff ML Engineer mentor, you'll scope the problem, develop and evaluate new methods on real data, and take the work far enough that it can be shared with the research community, with the goal of a paper submission to a top ML venue.</p>
<p>If you are a PhD student who enjoys turning open-ended research questions into working systems, and you want your research to be tested against real users and real data, this opportunity is for you!</p>
<h2><strong>Responsibilities:</strong></h2>
<ul>
<li>Own a research project from start to finish: frame the problem, review related work, propose new methods, and design rigorous offline and online evaluations</li>
<li>Design, build, train and test ML models in areas such as reinforcement learning, sequential decision-making, personalization</li>
<li>Write production-quality code that turns research prototypes into working pipelines on Lyft's data and ML infrastructure</li>
<li>Partner with Product Managers, Data Scientists, and fellow ML Engineers to frame research questions within the business context</li>
<li>Analyze experimental and observational data, and communicate findings clearly to both technical and non-technical audiences</li>
<li>Write up results for publication at a peer-reviewed venue, with support from your mentor and the team</li>
<li>Participate in code and spec reviews to ensure code quality and distribute knowledge</li>
</ul>
<h2><strong>Experience:</strong></h2>
<ul>
<li>Currently pursuing a <strong>PhD </strong>in Computer Science, Machine Learning, Statistics, Operations Research, Applied Mathematics, or a related technical field, and returning to your program after the internship, with a <strong>graduation date between December 2027 and Summer 2028 (required)</strong></li>
<li>A track record of ML research, shown through publications, preprints, or substantial research projects</li>
<li>Strong foundation in reinforcement learning and sequential decision making, especially problems with delayed or long-horizon rewards</li>
<li>Solid grounding in both causal inference and counterfactual evaluation</li>
<li>Good understanding of ML libraries like PyTorch, TensorFlow, or JAX</li>
<li>Strong programming skills in Python or a similar language</li>
<li>Proven ability to effectively turn research ML papers into working code</li>
<li>Curiosity and ability to quickly learn new concepts and technologies</li>
<li>Strong problem solving mindset, resourcefulness, and willingness to figure things out independently through research or collaboratively through brainstorming</li>
<li>Demonstrated oral and written communication skills</li>
<li><strong>Bonus Points</strong><br>
<ul>
<li>Publications at venues such as NeurIPS, ICML, ICLR, KDD, WWW, RecSys, or AAAI</li>
<li>Experience with offline reinforcement learning, off-policy evaluation, or learning from logged interaction data, recommender systems or personalization</li>
<li>Practical knowledge of how to build efficient end-to-end ML workflows on large-scale data (for example Spark or SQL)</li>
<li>Familiarity with online experimentation and A/B testing</li>
</ul>
</li>
</ul>
<h2><strong>Benefits:</strong><strong><em><br></em></strong></h2>
<ul>
<li>Great medical, dental, and vision insurance options</li>
<li>Mental health benefits</li>
<li>In addition to holidays, interns receive 2 days paid time off and 3 days sick time off</li>
<li>401(k) plan to help save for your future</li>
<li>Subsidized commuter benefits</li>
<li>Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program</li>
</ul>
<p><em>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.</em></p>
<p><em>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.&nbsp;</em></p>
<p><em>The expected base pay range for this position in the San Francisco area is $65-$68/hour. 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.</em></p>
<p><em>Total compensation is 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.&nbsp;</em></p>

PhD Machine Learning Software Engineer Intern (Summer 2027)

<p data-path-to-node="9">At Lyft, our purpose is to serve and connect. Lyft’s Infrastructure organization builds the high-scale foundation that every engineer at Lyft relies on to ship safe, performant, and reliable services.</p>
<p data-path-to-node="10">As a <strong data-path-to-node="10" data-index-in-node="5">Senior Software Engineer on the Foundational Infrastructure &amp; Networking team</strong>, you will own the core routing, service mesh, and control planes that power hundreds of microservices processing millions of rides daily. This is an IC role with massive engineering leverage: your technical architecture, systems design, and performance optimizations will directly amplify the velocity of every software engineer across Lyft while ensuring platform resiliency at scale.</p>
<h2 data-path-to-node="12">Responsibilities</h2>
<ul>
<li><strong data-path-to-node="13,0,0" data-index-in-node="0">Architect &amp; Scale Core Networking:</strong> Design, build, and optimize our service mesh, ingress/egress infrastructure, and edge routing capabilities using Envoy Proxy and custom control planes on AWS.</li>
<li><strong data-path-to-node="13,1,0" data-index-in-node="0">Optimize High-Throughput Control Planes:</strong> Enhance load-balancing algorithms, service discovery, and dynamic scaling mechanisms across high-concurrency data and control planes running on Kubernetes.</li>
<li><strong data-path-to-node="13,2,0" data-index-in-node="0">Drive Systems Reliability &amp; Observability:</strong> Operationalize deep telemetry, metrics, and distributed tracing across our networking stack to drastically reduce mean-time-to-detect (MTTD) and resolution (MTTR).</li>
<li><strong data-path-to-node="13,3,0" data-index-in-node="0">Hands-on Production Debugging:</strong> Lead complex technical investigations into cross-stack incidents spanning kernel parameters, cloud VPC network layers, DNS, and distributed microservice protocols.</li>
<li><strong data-path-to-node="13,4,0" data-index-in-node="0">Technical Leadership &amp; Mentorship:</strong> Elevate engineering rigor through RFC reviews, technical vision, incident response post-mortems, and mentoring engineers across the broader Infrastructure org.</li>
</ul>
<h2>Experience</h2>
<ul>
<li><strong data-path-to-node="16,0,0" data-index-in-node="0">6+ Years of Production Systems Experience:</strong> Proven track record building and operating massive-scale cloud infrastructure and networking platforms.</li>
<li><strong data-path-to-node="16,1,0" data-index-in-node="0">Expertise in Cloud Networking &amp; Protocols:</strong> Deep understanding of Linux networking, TCP/IP, DNS, gRPC, HTTP/2, load balancing, and AWS networking architecture (VPCs, NLBs, subnets, transit gateways).</li>
<li><strong data-path-to-node="16,2,0" data-index-in-node="0">Service Mesh &amp; Proxy Expertise:</strong> Hands-on experience building or operating large-scale proxy and mesh technologies (e.g., Envoy, Istio, Cilium, Nginx).</li>
<li><strong data-path-to-node="16,3,0" data-index-in-node="0">Cloud &amp; Container Infrastructure:</strong> Strong experience managing production Kubernetes clusters running on public cloud providers (AWS/GCP) using Infrastructure-as-Code tools (Terraform).</li>
<li><strong data-path-to-node="16,4,0" data-index-in-node="0">Distributed Systems Troubleshooting:</strong> Demonstrated skill in isolating and debugging complex, multi-layered system failures under high throughput conditions.</li>
</ul>
<h2><strong>Benefits:</strong></h2>
<ul>
<li>Extended health and dental coverage options, along with life insurance and disability benefits</li>
<li>Mental health benefits</li>
<li>Family building benefits</li>
<li>Child care and pet benefits</li>
<li>Access to a Lyft funded Health Care Savings Account</li>
<li>RRSP plan with company match to help save for your future</li>
<li>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&nbsp;</li>
<li>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.</li>
<li>Subsidized commuter benefits and Lyft ride credits</li>
</ul>
<p>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.&nbsp; 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.</p>
<p>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</p>
<p>The expected base pay range for this position in the Toronto area is CAD $136,000 - CAD $170,000, 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.</p>
<p>Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.</p>
<p>This job fills an existing vacancy.</p>

Senior Software Engineer, Foundational Infrastructure & Networking

<p>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.</p>
<p>Marketplace teams are at the heart of our products and decision-making, owning everything from rider pricing to driver earnings, incentives, and efficient matching. We’re looking for passionate, driven engineers to build systems that empower our riders and drivers to have the best transportation experience possible through prediction, adaptivity, and personalization. We’re looking for someone who is excited about working in a fast-paced, innovative, and impactful environment to create reliable solutions to distributed computing, ML, and data problems.</p>
<p>The Pricing team is a centerpiece of Lyft’s Marketplace org, determining prices for all rideshare products and supporting new initiatives. We work with Product &amp; Science to solve and implement complex pricing requirements, balancing the needs of riders, drivers, and the business goals. As an owner of one of the most critical flows in the company, you will work on a wide array of challenges such as latency-sensitive concurrency problems, large scale distributed systems, and experimentation. If you’re interested in playing a large part in demand / supply management and improving the Lyft customer experience, this could be a great fit for you.&nbsp;</p>
<h2><strong>Responsibilities:</strong></h2>
<ul>
<li>Help define the roadmap and architecture based on technology and business needs</li>
<li>Unblock, support, effectively communicate, and obtain buy-in across teams to achieve results</li>
<li>Lead projects of multiple people from idea to positive execution</li>
<li>Write clear, scalable and clear design documentation</li>
<li>Write well-crafted, well-tested, readable, maintainable code</li>
<li>Utilize your expertise in Python, Golang, AWS to deliver robust and scalable solutions</li>
<li>Participate in code reviews to ensure code quality and distribute knowledge&nbsp;</li>
<li>Proactively participate in resolving ongoing incidents&nbsp;</li>
<li>Share your knowledge through tech talks, mentorship, and evangelizing appropriate tech and engineering best practices</li>
</ul>
<h2><strong>Experience:</strong></h2>
<ul>
<li>BS/MS or equivalent in Computer Engineering, Computer Science, or related field or relevant work experience</li>
<li>5+ years of software engineering industry experience</li>
<li>Extensive experience in object oriented programming, ideally in GoLang or Python</li>
<li>Experience in backend software development of large-scale distributed systems and concurrency</li>
<li>Experience working with public cloud platforms (e.g., AWS, GCP, Microsoft Azure, etc.)</li>
<li>Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners</li>
</ul>
<h2><strong>Benefits:</strong></h2>
<ul>
<li>Extended health and dental coverage options, along with life insurance and disability benefits</li>
<li>Mental health benefits</li>
<li>Family building benefits</li>
<li>Child care and pet benefits</li>
<li>Access to a Lyft funded Health Care Savings Account</li>
<li>RRSP plan with company match to help save for your future</li>
<li>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&nbsp;</li>
<li>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.</li>
<li>Subsidized commuter benefits and Lyft ride credits</li>
</ul>
<p>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.&nbsp; 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.</p>
<p>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</p>
<p>The expected base pay range for this position in the Toronto area is CAD $108,000 - CAD $135,000, 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.</p>
<p>Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.</p>
<p>This job fills an existing vacancy.</p>

Software Engineer, Pricing

<p>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.</p>
<p>Marketplace teams sit at the core of Lyft's products and decision-making, owning everything from rider pricing to driver earnings, incentives, and matching efficiency. We're looking for passionate, driven engineers who want to build systems that give riders and drivers the best possible transportation experience through prediction, adaptivity, and personalization — and who thrive in a fast-paced, high-impact environment solving distributed computing, ML, and data challenges.</p>
<p>The Planned Pricing team sits within Lyft's Marketplace org and is responsible for forecasting, planning, and setting prices ahead of demand — ensuring pricing strategy is proactive rather than purely reactive. We partner closely with Product &amp; Science to design and implement pricing strategies that anticipate market conditions, balancing the needs of riders, drivers, and business goals. As an owner of a flow that shapes forecasting and long-term pricing decisions across the company, you'll tackle a wide range of problems — from large-scale distributed systems and data pipelines to experimentation and forecasting accuracy. If you're excited about playing a key role in demand/supply planning and improving the Lyft experience for millions of riders and drivers, this could be a great fit.</p>
<h2>Responsibilities:</h2>
<ul>
<li>Design, develop, deploy, monitor, operate and maintain existing or new elements of our systems and infrastructure</li>
<li>Collaborate with engineers and partners in science &amp; product to drive projects from inception, specification, execution, to launch</li>
<li>Write well-crafted, well-tested, readable and maintainable code</li>
<li>Participate in code reviews to ensure code quality and distribute knowledge</li>
<li>Design and own the way pricing data is consumed, stored, and shared with the entirety of Lyft</li>
<li>Share your knowledge by giving brown bags, tech talks, and evangelizing appropriate tech and engineering best practices</li>
<li>Utilize your expertise in Python, Golang, AWS to deliver robust and scalable solutions</li>
</ul>
<h2>Experience:</h2>
<ul>
<li>1 - 3 years of software engineering industry experience</li>
<li>BS/MS or equivalent in Computer Engineering, Computer Science, or related field or relevant work experience</li>
<li>Extensive experience in object-oriented programming (ideally Python or Go)</li>
<li>Write clear, scalable and clear design documentation</li>
<li>Experience in backend software development of large-scale distributed systems and concurrency</li>
<li>Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners</li>
</ul>
<h2><strong>Benefits:</strong></h2>
<ul>
<li>Extended health and dental coverage options, along with life insurance and disability benefits</li>
<li>Mental health benefits</li>
<li>Family building benefits</li>
<li>Child care and pet benefits</li>
<li>Access to a Lyft funded Health Care Savings Account</li>
<li>RRSP plan with company match to help save for your future</li>
<li>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&nbsp;</li>
<li>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.</li>
<li>Subsidized commuter benefits and Lyft ride credits</li>
</ul>
<p>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.&nbsp; 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.</p>
<p>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</p>
<p>The expected base pay range for this position in the Toronto area is CAD $108,000 - CAD $135,000, 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.</p>
<p>Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.</p>
<p>This job fills an existing vacancy.</p>

Software Engineer, Planned Pricing

<p>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.</p>
<p>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.</p>
<p>Lyft's Verticals team owns three of the most strategically important and operationally complex marketplaces in our business: airports, scheduled rides, and events. These are the moments that 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 giving drivers 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.</p>
<p>As a Senior Product Manager on the Verticals team, you'll lead a cross-functional team to shape how millions of people plan, book, and experience their journeys across these critical moments. You'll build seamless booking flows, deeply personalized experiences, and robust integrations with travel and event partners. You'll also 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. The solutions you build need to work everywhere, from a quiet regional airport to JFK, and from a Tuesday morning scheduled ride to 60,000 fans leaving a stadium at once.</p>
<h2><strong>Responsibilities:</strong></h2>
<ul>
<li>Understand Lyft's strategic and competitive position. Set goals and success metrics that align with Lyft's mission and drive maximum impact based on data analysis, market research, and usability studies</li>
<li>Set an incredibly ambitious vision that motivates and inspires your team, peers, and leadership, and that accounts for the distinct dynamics of airports, scheduled rides, and events</li>
<li>Completely own your team's products, existing or new, from ideation through development, experimentation, launch, growth, and maintenance, caring deeply about both rider and driver experiences</li>
<li>Lead and align cross-functional partners, including engineers, designers, data scientists, analysts, marketers, business partners, and operations, to drive a shared vision</li>
<li>Communicate clear roadmaps, priorities, experiments, and decisions across a wide spectrum of audiences from partner teams to executive leadership</li>
</ul>
<h2><strong>Experience:</strong></h2>
<ul>
<li>6+ years of experience in product management, product design, or equivalent consulting experience with significant time spent leading consumer mobile apps or marketplace products</li>
<li>Experience working with or alongside data science and operations teams on complex products; familiarity with experimentation, marketplace dynamics, or logistics is a plus</li>
<li>Passion for Lyft and what we are trying to achieve in sustainable urban transportation</li>
<li>Natural ability to make things happen around you. You manage project ambiguity, complexity, and interdependencies in an organized and structured way</li>
<li>Strong ability to define and analyze metrics that inform the success of products and the health of the business</li>
<li>Excellent judgment and thoughtfulness about the dynamics of a product ecosystem, including balancing the needs of riders and drivers</li>
<li>Strong communication skills and intuition for communication strategy at every level: within teams, with partner teams, and to executive leadership</li>
<li>Experience leading post-launch optimizations, including developing testing strategies</li>
<li>Ability to conceptualize, manage, and prioritize multiple projects for stakeholders</li>
<li>Detail oriented with superior organizational skills. Balancing multiple projects, deadlines, and requests should be second nature to you</li>
</ul>
<h2><strong>Benefits:</strong><strong><br></strong></h2>
<ul>
<li>Great medical, dental, and vision insurance options with additional programs available when enrolled</li>
<li>Mental health benefits</li>
<li>Family building benefits</li>
<li>Child care and pet benefits</li>
<li>401(k) plan with company match to help save for your future</li>
<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off</li>
<li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible</li>
<li>Subsidized commuter benefits</li>
<li>Monthly Lyft credits and complimentary Lyft Pink membership</li>
</ul>
<p>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.</p>
<p>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</p>
<p>The expected base pay range for this position in the San Francisco area is $148,000 - $185,000, 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.</p>

Senior Product Manager, Verticals

<p>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.</p>
<p>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.</p>
<p>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.</p>
<p><br>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. &nbsp;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. &nbsp;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.</p>
<h2><strong>Responsibilities:</strong></h2>
<ul>
<li>Manage and grow a team of product managers, providing development, mentorship, and coaching to help them achieve their goals and Lyft's goals</li>
<li>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</li>
<li>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</li>
<li>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</li>
<li>Lead and align cross-functional partners including engineers, designers, data scientists, analysts, marketers, business partners, and operations to drive a shared vision</li>
<li>Communicate clear roadmaps, priorities, experiments, and decisions across a wide spectrum of audiences from partner teams to executive leadership</li>
</ul>
<h2 class="p1"><strong>Experience:</strong></h2>
<ul>
<li>6+ years of experience in product management, product design, or equivalent consulting experience with significant time spent leading consumer mobile apps or marketplace products</li>
<li>2+ years of experience managing product managers</li>
<li>Experience working with or alongside data science and operations teams on complex, products; familiarity with experimentation, marketplace dynamics, or logistics is a plus</li>
<li>Passion for Lyft and what we are trying to achieve in sustainable urban transportation</li>
<li>Natural ability to make things happen around you — you manage project ambiguity, complexity, and interdependencies in an organized and structured way</li>
<li>Strong ability to define and analyze metrics that inform the success of products and the health of the business</li>
<li>Excellent judgment and thoughtfulness about the dynamics of a product ecosystem</li>
<li>Strong communication skills and intuition for communication strategy at every level — within teams, with partner teams, and to executive leadership</li>
<li>Ability to conceptualize, manage, and prioritize multiple projects for stakeholders</li>
<li>Detail oriented with superior organizational skills — balancing multiple projects, deadlines, and requests should be second nature to you</li>
</ul>
<h2 class="p1"><strong>Benefits:</strong></h2>
<ul>
<li>Great medical, dental, and vision insurance options with additional programs available when enrolled</li>
<li>Mental health benefits</li>
<li>Family building benefits</li>
<li>Child care and pet benefits</li>
<li>401(k) plan with company match to help save for your future</li>
<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off</li>
<li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible</li>
<li>Subsidized commuter benefits</li>
<li>Monthly Lyft credits and complimentary Lyft Pink membership</li>
</ul>
<p><em>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.</em></p>
<p><em>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</em></p>
<p><em>The expected base pay range for this position in the San Francsico area is $176,000-$260,000, 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.</em></p>

Senior Group Product Manager, Verticals

<p>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.</p>
<p>Lyft is looking for experienced, product-focused software engineers for our Driver Earnings Team. We are growing our team with people who want to build, improve, and incorporate technologies that enrich the lives of our community. As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empowers us to iterate quickly while focusing on delighting our passengers and drivers.</p>
<p>As a Software Engineer for Driver Earnings, you will lead multiple work streams that improve drivers' experience with rideshare. In addition, you will focus on incentivizing drivers to prefer Lyft, building differentiated pay products and features for the thing that drivers care the most about - their earnings. As an engineer on our team, you'll work hand in hand with various teams across Lyft, fostering collaboration and driving innovation to increase the adoption &amp; usage of Lyft.</p>
<h2><strong>Responsibilities:</strong></h2>
<ul>
<li>Partner with product managers, engineers, and operators to build driver earnings related infrastructure and products.</li>
<li>Design and analyze experiments; communicate results and act on launch decisions</li>
<li>Work with cross-functional partners in the Driver Experience and Marketplace so earnings related data is available and usable by the various systems that need this data.</li>
<li>Work on tooling that makes it easier to make changes to driver earnings related configurations.</li>
</ul>
<h2><strong>Experience:</strong></h2>
<ul>
<li>Degree in Computer Science or Computer Engineering (advanced degrees preferred), or relevant work experience</li>
<li>Proficiency in SQL - able to write structured and efficient queries on large data sets</li>
<li>Experience in programming, especially in Python and/or Golang (preferred but not required)</li>
<li>Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners</li>
</ul>
<h2><strong>Benefits:</strong></h2>
<ul>
<li>Extended health and dental coverage options, along with life insurance and disability benefits</li>
<li>Mental health benefits</li>
<li>Family building benefits</li>
<li>Child care and pet benefits</li>
<li>Access to a Lyft funded Health Care Savings Account</li>
<li>RRSP plan with company match to help save for your future</li>
<li>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&nbsp;</li>
<li>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.</li>
<li>Subsidized commuter benefits and Lyft ride credits</li>
</ul>
<p>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.&nbsp; 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.</p>
<p>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</p>
<p>The expected base pay range for this position in the Toronto area is CAD $88,000 - CAD $110,000, 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.</p>
<p>Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.</p>
<p>This job fills an existing vacancy.</p>

Software Engineer, Driver Earnings

<p>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.</p>
<p>The Driver team is dedicated to fostering a platform of high-quality service by empowering drivers to perform their best.&nbsp;</p>
<p>We are looking for a product-minded engineer who wants to build and improve products that sit at the center of the core driver experience. Products you drive will solve pain points that matter most to drivers by streamlining key interactions, reducing friction, and creating systems that feel intuitive, fair, and supportive.&nbsp;</p>
<p>As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empower us to iterate quickly, while focusing on delighting our passengers and drivers.</p>
<h2><strong>Responsibilities:</strong></h2>
<ul>
<li>Design and implement backend features end-to-end with clear ownership, delivering well-scoped work from technical design through to production with moderate guidance from senior engineers</li>
<li>Write clean, reliable, well-tested code that meets team standards and holds up in code review</li>
<li>Participate actively in code reviews, giving specific and constructive feedback while continuing to develop your own review instincts</li>
<li>Debug and resolve issues across backend services including performance bottlenecks, reliability problems, and data integrity issues</li>
<li>Collaborate with product managers, designers, and partner engineering teams to clarify requirements and surface technical constraints early</li>
<li>Contribute to technical discussions and help evaluate implementation approaches for new features</li>
<li>Write unit and integration tests for your own code and develop familiarity with the team's broader testing and observability practices</li>
<li>Address technical debt and make incremental improvements to existing services as part of regular development work</li>
<li>Participate in on-call rotations, respond to production incidents, and support teammates in mitigating customer-impacting events</li>
<li>Communicate progress, blockers, and tradeoffs clearly within the team</li>
</ul>
<h2><strong>Experience:</strong></h2>
<ul>
<li>3–5 years of software engineering experience with a history of shipping backend features in production environments</li>
<li>Strong proficiency in one or more backend languages (Go, Python, Java, or similar) with a solid understanding of performance and reliability fundamentals</li>
<li>Solid working knowledge of distributed systems concepts — microservices, REST and/or gRPC APIs, message queues, and async processing patterns</li>
<li>Familiarity with relational and NoSQL databases, including data modeling, querying, and basic indexing and performance considerations</li>
<li>Experience with observability tooling — logging, metrics, and alerting — and a developing instinct for how to make systems debuggable in production</li>
<li>Comfortable working with cloud infrastructure (AWS, GCP, or similar) at a feature level, with a growing understanding of how services are deployed and operated</li>
<li>Experience writing and maintaining unit and integration tests with a focus on reliability and regression prevention</li>
<li>Familiarity with Git workflows, code review processes, and CI/CD pipelines</li>
<li>Ability to scope and break down moderately complex tasks independently</li>
<li>Good communication skills and a collaborative approach to problem-solving</li>
</ul>
<h2><strong>Benefits:</strong></h2>
<ul>
<li>Extended health and dental coverage options, along with life insurance and disability benefits</li>
<li>Mental health benefits</li>
<li>Family building benefits</li>
<li>Child care and pet benefits</li>
<li>Access to a Lyft funded Health Care Savings Account</li>
<li>RRSP plan with company match to help save for your future</li>
<li>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&nbsp;</li>
<li>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.</li>
<li>Subsidized commuter benefits and Lyft ride credits</li>
</ul>
<p>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.&nbsp; 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.</p>
<p>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</p>
<p>The expected base pay range for this position in the Toronto area is CAD $108,000 - CAD $135,000, 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.</p>
<p>Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.</p>
<p>This job fills an existing vacancy.</p>

Software Engineer, Driver Experience

<p>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.</p>
<p>Lyft is looking for software engineers from a scope of disciplines. We are growing our team with people who want to build, improve and incorporate technologies that make the lives of our community more enriched. As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empower us to iterate quickly, while focusing on delighting our passengers and drivers.</p>
<p>The Rider organization is focused on building a seamless, best-in-class rideshare experience for riders. From the foundational functionality of requesting a ride to the tailored interactions with your flight, we sweat the small stuff to help make Lyft the best transportation solution. As an Senior Software Engineer&nbsp;on the Rider Team, you will work hand in hand with various teams across Lyft, fostering collaboration, and driving innovation to improve riders' experience with rideshare.</p>
<h2>Responsibilities:</h2>
<ul>
<li>Write well-crafted, well-tested, readable, maintainable code</li>
<li>Participate in code reviews to ensure code quality and distribute knowledge&nbsp;</li>
<li>Participate in our teams oncall rotation. Identify, triage, debug and resolve issues/bugs across our various applications and platforms</li>
<li>Have the ability to explain the various trade offs made in decisions</li>
<li>Manage project priorities, deadlines, and deliverables.</li>
<li>Partner with product managers, designers, and other engineering teams to build complex features and products from idea to positive execution</li>
<li>Analyze our internal systems and processes and locate areas for improvement/automation</li>
<li>Share your knowledge by giving brown bags, tech talks, and promoting appropriate tech and engineering best practices</li>
<li>Provide technical mentorship and feedback to junior engineers</li>
<li>Help establish roadmap and architecture based on technology and our needs</li>
</ul>
<h2>Experience:</h2>
<ul>
<li>BS/MS or equivalent in Computer Engineering, Computer Science, or related field or equivalent practical experience</li>
<li>5+ years of software engineering industry experience</li>
<li>Solid knowledge of distributed systems, relational and NoSQL databases</li>
<li>Experience designing, debugging and running fault-tolerant, highly available, large-scale distributed systems</li>
<li>Experience working with public cloud platforms (e.g., AWS, GCP, Microsoft Azure, etc.)</li>
<li>Experience working with kubernetes and container technologies (e.g. Docker, cri-o, etc)</li>
<li>Ability to work with a low-ego, highly collaborative, and cross-functional team</li>
</ul>
<h2><strong>Benefits:</strong></h2>
<ul>
<li>Extended health and dental coverage options, along with life insurance and disability benefits</li>
<li>Mental health benefits</li>
<li>Family building benefits</li>
<li>Child care and pet benefits</li>
<li>Access to a Lyft funded Health Care Savings Account</li>
<li>RRSP plan with company match to help save for your future</li>
<li>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&nbsp;</li>
<li>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.</li>
<li>Subsidized commuter benefits and Lyft ride credits</li>
</ul>
<p>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.&nbsp; 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.</p>
<p>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</p>
<p>The expected base pay range for this position in the Toronto area is CAD $136,000 - CAD $170,000, 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.</p>
<p>Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.</p>
<p>This job fills an existing vacancy.</p>

Senior Software Engineer, Rider

<p>At Lyft, our mission is to improve people's lives with the world's best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization.</p>
<p>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 and New York offices.</p>
<p>The Customer Care team is at the forefront of building intelligent AI agents that transform how Lyft delivers customer support. As AI capabilities evolve rapidly, we're moving beyond traditional automation to create AI agents that can understand complex customer needs, make intelligent decisions, and resolve issues with human-level quality. This team works cross-functionally to design, deploy, and scale AI agents that handle real customer conversations and empower our human agents with more information to solve issues. They work alongside our support ops and insights teams to create exceptional experiences when our customers need help most.</p>
<h2><strong>Responsibilities:</strong></h2>
<ul>
<li>Build and optimize AI agents that handle customer support interactions across chat and voice channels</li>
<li>Partner directly with engineering, data science, and ML teams to design agent capabilities and behaviors</li>
<li>Write, test, and refine prompt logic and conversation flows for specific customer use cases</li>
<li>Partner with support operations teams to understand workflows, pain points, and opportunities</li>
<li>Run rapid feedback loops between customer interactions and product development to continuously improve agent performance</li>
<li>Serve as the in-house expert on AI agent development, translating technical capabilities into business impact</li>
<li>Define success metrics and drive data-informed decisions to ensure optimal prioritization</li>
<li>Create an AI strategy that scales as Lyft grows&nbsp;</li>
</ul>
<h2><strong>Experience:</strong></h2>
<ul>
<li>5+ years of experience in product management, with experience or familiarity with AI, ML, or conversational interfaces</li>
<li>Deep technical acumen—ability to understand and shape AI system designs, including prompt engineering and agent architectures</li>
<li>Experience leading a team of engineers and setting clear goals, strategies, and multi-quarter roadmaps</li>
<li>Comfortable working in fast-moving, ambiguous environments where you shape solutions as much as implement them</li>
<li>Strengths:</li>
<ul>
<li>Customer obsession: You care deeply about delivering excellent support experiences and dive deep into the details of customer problems</li>
<li>Technical depth: You can engage credibly with engineers and understand AI/ML/LLM capabilities, limitations, and emerging developments</li>
<li>Collaboration: You excel at working across functions—engineering, design, operations, and executive teams—to drive aligned outcomes</li>
<li>Bias to action: You dive deep into complex problems, build elegant solutions, and move quickly to deploy them at scale</li>
<li>Analytics: You rely on experimentation and data to make decisions and measure real-world impact</li>
</ul>
<li>Degree in Computer Science, Engineering, Math, or equivalent technical experience strongly preferred</li>
</ul>
<h2><strong>Benefits:</strong></h2>
<ul>
<li>Great medical, dental, and vision insurance options with additional programs available when enrolled</li>
<li>Mental health benefits</li>
<li>Family building benefits</li>
<li>Child care and pet benefits</li>
<li>401(k) plan with company match to help save for your future</li>
<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off</li>
<li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible</li>
<li>Subsidized commuter benefits</li>
<li>Monthly Lyft credits and complimentary Lyft Pink membership</li>
</ul>
<p><em>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.</em></p>
<p><em>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<br></em></p>
<p><em>The expected base pay range for this position in the New York City area is $148,000-185,000/year. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.</em></p>

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