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 Pricing team is a centerpiece of Lyft’s marketplace, determining prices for all rideshare products and supporting new initiatives. Dynamic Pricing & Offer Selection sits at the heart of Pricing, focused on determining optimal prices and ETAs in real-time and balancing supply and demand for our two-sided marketplace to drive both short-term and long-term conversion and retention.

As an Applied Scientist specializing in Machine Learning and Operations Research on this team, you will develop mathematical models and launch algorithms that power these key pricing and ETA decisions. You will leverage your skills to build ML and optimization models and productionalize pipelines that can scale to millions of calls per day while solving critical business problems that have a big impact on the marketplace and rider experience. You will get exposure to a diverse set of real-world problems across optimization, prediction, machine learning, and inference and collaborate closely with teammates and stakeholders across Pricing, from Product Managers to Engineers and Analysts. 

We are looking for someone who is excited about working in a fast-paced, innovative, and impactful environment, and is adept at balancing complexity and efficiency to translate real world business problems into reliable solutions, systems and decision frameworks.

Responsibilities

• Partner with Data Scientists, Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context
• Write production quality code. Design, build and deploy production-grade ML and Optimization models. Able to build custom methods and tooling beyond off-the-shelf libraries.
• Perform data analysis and build proof-of-concepts to explore and propose ML and Optimization solutions to both new and existing problems. 
• Evaluate machine learning systems against business goals. Collaborate with Engineers to implement algorithms in live systems and ensure the robustness of the systems
• Establish metrics and development measurement methodologies to monitor the health of our products, as well as the impacts on user and marketplace outcomes
• Drive collaboration and coordination with cross-functional teams

Experience

• M.S. or Ph.D. in Machine Learning, Operations Research, Statistics, Computer Science or other quantitative fields
• 2+ years of algorithms experience in a technology company setting
• Proficiency with Python and working in a production coding environment
• Passion for solving unstructured and non-standard mathematical problems and building impactful machine learning models leveraging expertise in one or multiple fields.
• Strong understanding of machine learning methodologies, with proven experience with building and evaluating optimization or machine learning models
• Strong verbal and written communication skills with a good track record of collaborating with others to solve a problem

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 Francisco area is $140,800 - $176,000, 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.

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 Pricing team is a centerpiece of Lyft’s marketplace, determining prices for all rideshare products and supporting new initiatives. Dynamic Pricing & Offer Selection sits at the heart of Pricing, focused on determining optimal prices and ETAs in real-time and balancing supply and demand for our two-sided marketplace to drive both short-term and long-term conversion and retention.

As an Applied Scientist specializing in Machine Learning and Operations Research on this team, you will develop mathematical models and launch algorithms that power these key pricing and ETA decisions. You will leverage your skills to build ML and optimization models and productionalize pipelines that can scale to millions of calls per day while solving critical business problems that have a big impact on the marketplace and rider experience. You will get exposure to a diverse set of real-world problems across optimization, prediction, machine learning, and inference and collaborate closely with teammates and stakeholders across Pricing, from Product Managers to Engineers and Analysts. 

We are looking for someone who is excited about working in a fast-paced, innovative, and impactful environment, and is adept at balancing complexity and efficiency to translate real world business problems into reliable solutions, systems and decision frameworks.

Responsibilities

• Partner with Data Scientists, Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context
• Write production quality code. Design, build and deploy production-grade ML and Optimization models. Able to build custom methods and tooling beyond off-the-shelf libraries.
• Perform data analysis and build proof-of-concepts to explore and propose ML and Optimization solutions to both new and existing problems. 
• Evaluate machine learning systems against business goals. Collaborate with Engineers to implement algorithms in live systems and ensure the robustness of the systems
• Establish metrics and development measurement methodologies to monitor the health of our products, as well as the impacts on user and marketplace outcomes
• Drive collaboration and coordination with cross-functional teams

Experience

• M.S. or Ph.D. in Machine Learning, Operations Research, Statistics, Computer Science or other quantitative fields
• 2+ years of algorithms experience in a technology company setting
• Proficiency with Python and working in a production coding environment
• Passion for solving unstructured and non-standard mathematical problems and building impactful machine learning models leveraging expertise in one or multiple fields.
• Strong understanding of machine learning methodologies, with proven experience with building and evaluating optimization or machine learning models
• Strong verbal and written communication skills with a good track record of collaborating with others to solve a problem

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 Francisco area is $140,800 - $176,000, 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.

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, strategic, 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.

Pricing is the primary economic engine of Lyft's marketplace — a high-precision, real-time system that processes millions of fare calculations per hour, balancing rider affordability, driver earnings, and Lyft's sustainable growth. The Pricing team sits at the intersection of the marketplace, mediating between rider demand and driver supply, and is a core pillar of the Rider Organization.

As the Group Product Manager for Pricing, you will lead a team of product managers across four sub-teams that together own the full pricing lifecycle:

• Planned Pricing — the foundation of every fare. This team owns the structural pricing strategy that determines base prices across ride types and regions, balancing long-term financial targets with real-time market conditions.
• Dynamic Pricing & Offer Selection — the real-time pulse of the marketplace. This team owns the algorithms that respond to supply and demand shifts (Prime Time) and perform a real-time portfolio optimization to ensure riders can always get a ride and the marketplace stays balanced.
• Rider Engagement — the growth engine. This team builds personalized offers to drive rider engagement and retention, increase share of mind, and maximize the ROI of Lyft's rider incentive spend.
• Price Orchestration — the pricing platform. This team owns the end-to-end infrastructure that coordinates every fare request, from upfront quote generation through invoicing, tax calculation, and ratecard management, ensuring reliability, low latency, and compliance at scale.

Together, your organization will drive Pricing's top strategic priorities: unified portfolio optimization across all ride types and offers, preparing the pricing platform for autonomous vehicles and new offerings, advancing real-time personalized offers through applied AI, and increasing pricing precision to reduce waste while hitting growth targets.

Responsibilities:

• Manage and grow a team of product managers, providing development, mentorship, and coaching to help them achieve their goals and Lyft's goals
• Be the product leader driving the strategic product and technology vision for Pricing — owning the system that directly impacts Gross Bookings, Active Riders, and Adjusted EBITDA Margin
• Set and align on business goals for pricing optimization with executives and business teams (e.g., what are we optimizing for and how does this vary by market, product, use case)
• Incorporate end-to-end impact of pricing decisions on riders, drivers, and ultimately on network growth
• Define short-term and long-term strategy to achieve those goals, setting your team's success metrics and roadmap to drive maximum impact
• Develop and execute a product roadmap via close collaboration with senior leadership, Finance, Data Science, Analytics, Design, Marketing, Engineering, Legal, and Policy
• Review how product managers reporting to you translate customer and internal user needs into clear, well-defined functional and technical requirements backed by data analysis and deep understanding of the marketplace
• Guide and interface closely with data science, analysts, and engineers to review and refine scope and technical capabilities, prioritize projects for release, and define new opportunities
• Be an inspiring communicator for the team's ambitions with a leadership presence in team all-hands, reviews with partner teams, and reviews with Lyft's executive team

Experience:

• 8+ years of product management or relevant experience, with significant time spent on algorithmic, data-driven, or marketplace products
• 2+ years of experience managing product managers
• A deep technical understanding of microeconomics, and ideally a background in Operations Research, Machine Learning, or algorithmic systems
• Demonstrated experience managing and growing a high performing team of product managers while providing development, mentorship, and excitement to exceed team and department goals
• Experience working in deep product domains — using data and experimentation to guide a large cross-functional team towards a long-term vision
• Strong communication, presentation, and stakeholder management skills across a diverse group of stakeholders, from partner teams to executive levels
• Ability to dive deep into complex technical concepts, but also abstract them to executives, stakeholders, operations, and legal
• Maintain a strong POV on what to build for users, amidst many different stakeholders with different goals and world-class scientists + engineers on the team with their own opinions
• Experience running A/B tests and using common statistical techniques to evaluate results, including developing post-launch testing strategies
• Passion for Lyft and what we are trying to achieve in sustainable urban transportation

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 Francisco area is $208,000 - $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.

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, strategic, 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.

Pricing is the primary economic engine of Lyft's marketplace — a high-precision, real-time system that processes millions of fare calculations per hour, balancing rider affordability, driver earnings, and Lyft's sustainable growth. The Pricing team sits at the intersection of the marketplace, mediating between rider demand and driver supply, and is a core pillar of the Rider Organization.

As the Group Product Manager for Pricing, you will lead a team of product managers across four sub-teams that together own the full pricing lifecycle:

• Planned Pricing — the foundation of every fare. This team owns the structural pricing strategy that determines base prices across ride types and regions, balancing long-term financial targets with real-time market conditions.
• Dynamic Pricing & Offer Selection — the real-time pulse of the marketplace. This team owns the algorithms that respond to supply and demand shifts (Prime Time) and perform a real-time portfolio optimization to ensure riders can always get a ride and the marketplace stays balanced.
• Rider Engagement — the growth engine. This team builds personalized offers to drive rider engagement and retention, increase share of mind, and maximize the ROI of Lyft's rider incentive spend.
• Price Orchestration — the pricing platform. This team owns the end-to-end infrastructure that coordinates every fare request, from upfront quote generation through invoicing, tax calculation, and ratecard management, ensuring reliability, low latency, and compliance at scale.

Together, your organization will drive Pricing's top strategic priorities: unified portfolio optimization across all ride types and offers, preparing the pricing platform for autonomous vehicles and new offerings, advancing real-time personalized offers through applied AI, and increasing pricing precision to reduce waste while hitting growth targets.

Responsibilities:

• Manage and grow a team of product managers, providing development, mentorship, and coaching to help them achieve their goals and Lyft's goals
• Be the product leader driving the strategic product and technology vision for Pricing — owning the system that directly impacts Gross Bookings, Active Riders, and Adjusted EBITDA Margin
• Set and align on business goals for pricing optimization with executives and business teams (e.g., what are we optimizing for and how does this vary by market, product, use case)
• Incorporate end-to-end impact of pricing decisions on riders, drivers, and ultimately on network growth
• Define short-term and long-term strategy to achieve those goals, setting your team's success metrics and roadmap to drive maximum impact
• Develop and execute a product roadmap via close collaboration with senior leadership, Finance, Data Science, Analytics, Design, Marketing, Engineering, Legal, and Policy
• Review how product managers reporting to you translate customer and internal user needs into clear, well-defined functional and technical requirements backed by data analysis and deep understanding of the marketplace
• Guide and interface closely with data science, analysts, and engineers to review and refine scope and technical capabilities, prioritize projects for release, and define new opportunities
• Be an inspiring communicator for the team's ambitions with a leadership presence in team all-hands, reviews with partner teams, and reviews with Lyft's executive team

Experience:

• 8+ years of product management or relevant experience, with significant time spent on algorithmic, data-driven, or marketplace products
• 2+ years of experience managing product managers
• A deep technical understanding of microeconomics, and ideally a background in Operations Research, Machine Learning, or algorithmic systems
• Demonstrated experience managing and growing a high performing team of product managers while providing development, mentorship, and excitement to exceed team and department goals
• Experience working in deep product domains — using data and experimentation to guide a large cross-functional team towards a long-term vision
• Strong communication, presentation, and stakeholder management skills across a diverse group of stakeholders, from partner teams to executive levels
• Ability to dive deep into complex technical concepts, but also abstract them to executives, stakeholders, operations, and legal
• Maintain a strong POV on what to build for users, amidst many different stakeholders with different goals and world-class scientists + engineers on the team with their own opinions
• Experience running A/B tests and using common statistical techniques to evaluate results, including developing post-launch testing strategies
• Passion for Lyft and what we are trying to achieve in sustainable urban transportation

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 New York City area is $208,000 - $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.

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.

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.

The Pricing team is a centerpiece of Lyft’s Marketplace org, determining prices for all rideshare products and supporting new initiatives. Rider Engagement develops rider-facing engagement levers and optimizes user pricing experience to drive both short term and long term business outcomes. We work with Product & 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.

Responsibilities:

• Drive high-impact projects and innovate new solutions to provide the best user experience.
• Work closely with cross-functional teams and partner teams to develop solutions based on technology and business needs, and advance team’s goals and priorities
• Independently lead features from idea to positive execution and launch
• Unblock, support and communicate with internal partners to achieve results
• Write well-crafted, well-tested, readable, maintainable code
• Utilize your expertise in Python, Golang, AWS to deliver robust and scalable solutions
• Participate in code reviews to ensure code quality and distribute knowledge, as well as on call rotations
• Share your knowledge by giving brown bags, tech talks, and promoting appropriate tech and engineering best practices

Experience:

• BS/MS or equivalent in Computer Engineering, Computer Science, or related field or relevant work experience
• 3+ years of software engineering industry experience
• Extensive experience in object oriented programming, ideally in GoLang or Python
• Experience in backend software development of distributed systems and concurrency
• Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners

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 $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.

Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.

This job fills an existing vacancy.