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 is looking for experienced 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 riders and drivers.

As a Software Engineer for Lyft Ads - you will work on one of Lyft’s newest lines of business focused on building the world’s largest transportation media network. We build products that allow brands to engage with our unique audience throughout their transportation journeys and beyond. For this role we are seeking software engineers who are passionate about backend and data engineering. You will join our Ad Infra Engineering team and contribute to building the systems and pipelines powering our ad-serving, measurement and audience platform. We work on technologies that let brands engage with our unique audience throughout their transportation journeys. This role is a great opportunity for an early-career engineer to gain experience working with distributed backend systems and large-scale data workflows, collaborating closely with product, analytics, and data science teams.

Why Lyft Ads?

• Be part of a high-impact team building the foundations of Lyft’s advertising infra
• Gain experience working with complex systems at scale, backed by mentorship and growth opportunities.
• Join a supportive, inclusive environment focused on engineering excellence and business impact.

Responsibilities:

• Develop and maintain backend systems that support real-time ad serving, campaign management, and reporting.
• Design and implement scalable data models to support analytics, targeting, and measurement use cases.
• Build and maintain data pipelines that handle ingestion, transformation, and distribution of large volumes of advertising data.
• Work with orchestration frameworks (e.g., Airflow) to schedule and monitor reliable, production-grade data workflows.
• Collaborate with cross-functional partners to integrate internal and third-party systems via APIs and batch data feeds.
• Write clean, maintainable, and testable code following best practices (CI/CD, observability, code reviews).
• Participate in architecture discussions and design reviews with an emphasis on performance and reliability.
• Learn and grow through mentorship, documentation, and regular team collaboration.

Experience:

• BSc/MSc in Computer Engineering, Computer Science, related field or relevant work experience
• 3+ years of industry experience in backend or data engineering roles
• Proficiency in at least one backend programming language (e.g., Python, Go, Java)
• Good understanding of distributed systems, microservices, and database design (SQL and NoSQL).
• Exposure to orchestration tools (e.g., Airflow, Prefect) and data distribution technologies (e.g., Kafka, Pub/Sub).
• Experience working with relational and non-relational databases (e.g., PostgreSQL, BigQuery, DynamoDB).
• Experience with Linux.

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.

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 Workplace Operations Specialist is responsible for providing exceptional operational and facilities support, ensuring a comfortable, productive working environment and inclusive, delightful experience for all team members.

You possess a strong ability to prioritize and execute tasks in alignment with the overall goals of the team. You feel comfortable making decisions in a fast-paced, ever-changing environment. You have a growth mindset and know how to stay self-motivated and demonstrate a positive attitude.  You feel empowered to take initiative and lead from your seat. You consistently demonstrate strong verbal and written communication skills.

Responsibilities:

• Be the face of the Workplace Operations team, providing first class customer service for Lyft team members based in and visiting the office
• Manage facility related vendor relationships (e.g. janitorial, furniture, food/beverage, plants, etc.). Heavily involved in the RFP/SOW process for potential vendors alongside Workplace Operations Leadership
• Act as the primary point of contact for relationship with property management and landlord; communicating when facility related concerns arise;
• Coordination of facility maintenance/small tenant improvement projects as necessary. Work alongside Workplace Operations Manager and other internal stakeholders to complete IT projects
• Manage inventory of all Workplace supplies and place orders as needed
• Manage Zendesk ticket workflows to field & resolve inbound Workplace requests & inquiries, maintaining SLA and priority ranking; escalating to Workplace Operations Leadership as needed
• Manage incoming and outgoing mail/shipment process
• Partner with PBP, EBPs, and IT teams to assist with onboarding and offboarding tasks for new and departing team members 
• Partner with leadership on site to provide facilities support for Lyft events
• Pitch in when necessary; supporting all Lyft locations and Workplace Operations team members in a variety of tasks.  No job is too big or too small
• Other site specific duties required by the property(s)
• Support the Workplace Operations leadership in additional duties as necessary

Experience:

• Be aligned with Lyft’s Core values: Make it Happen, Uplift Others and Be Yourself
• A passion for facilitating an overall positive employee experience through ongoing operational support
• 3+ years of customer service experience
• 1+ years of Office experience
• Possess the ability to remain agile and multi-task effectively in a fast paced environment
• A passion for managing an overall positive employee experience through ongoing operational support
• Strong ability to manage competing priorities and projects
• Strong interpersonal and communication skills, with the ability to build relationships across departments, work collaboratively, and manage conflict constructively including but not limited to emergency situations.
• Capable of prioritizing tasks/duties as assigned and delegating tasks as needed

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.

This role is on-site at a Lyft location in Toronto full time. #Onsite

The expected base pay range for this position in the Toronto area is CAD $71,000 - CAD $89,000, 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. 

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.  Flexdrive is a subsidiary of Lyft that works together with Lyft teams to realize our shared mission. 

Flexdrive is a member of the Lyft family of companies, although it operates as its own separate and distinct entity within that family of companies. Flexdrive is a fleet management company that manages roughly 15,000 vehicles and is building the future of AV fleet management with operations in the US and Europe. 

We are looking for an experienced business operations professional who is passionate about developing Flexdrive’s systems, processes, and operations. This role owns the financial modeling and analytics that drive fleet management strategy, including forecasting short- and long-term outcomes, monitoring market conditions, supporting expansion into autonomous vehicles, and translating data into actionable recommendations.

You will serve as a subject matter expert across multiple business verticals, reviewing actual spend against forecast, building predictive financial models, identifying anomalies in complex invoice workflows, and supporting month-end close deliverables. This role supports both the rental business and AVs, meaning you will operate across the full spectrum of Flexdrive’s portfolio as we scale.

The ideal candidate brings deep analytical rigor, a strong finance foundation, and the ability to operate across business operations, financial operations, and accounting functions while partnering with cross-functional teams to drive efficiency and profitability.

Responsibilities:

• Financial Modeling & Analytics
  • Develop a deep understanding of the key operational and financial flows across our business — spanning fleet management, rental operations, vehicle remarketing, and our expansion into autonomous vehicles — to build and maintain complex financial models that forecast P&L impacts with accuracy.
  • Analyze performance trends across business lines, identifying patterns and drivers that inform strategic decisions around cost optimization, revenue enhancement, and operational efficiency.
  • Monitor industry conditions, market dynamics, and competitive landscape to proactively surface risks and opportunities; translate external insights into actionable recommendations for leadership.
  • Produce and present regular performance reporting with clear attribution of forecast to actual variances, emerging trends, and areas of opportunity to improve margins and reduce cost.
• Business Operations & Process Ownership
  • Own and optimize core business processes across fleet operations, vendor management, and financial operations
  • Review actual spend against forecast on a recurring basis, identifying variances and driving root-cause analysis
  • Identify anomalies in complex invoice workflows (e.g., OEM parts, depot services, insurance, maintenance) and resolve discrepancies cross-functionally
  • Build and maintain dashboards, reports, and tracking mechanisms that give leadership real-time visibility into fleet health and financial performance
  • Drive and support automation of manual processes.
  • Develop business processes  to achieve financial goals.
  • Work on ad hoc strategic and operational projects as needed.
• Month-End Close & Financial Operations
  • Support month-end close deliverables including fleet/operational reporting, accruals, reconciliations, and variance analysis
  • Partner with FP&A, Treasury, and Accounting to ensure accurate and timely financial reporting
  • Develop and document standard operating procedures for recurring financial and operational workflows
• AV Fleet Operations Support
  • Support the financial and operational buildout of Flexdrive’s AV fleet management infrastructure as we scale deployments with partners
  • Develop cost-per-mile models, depot cost analyses, and unit economics frameworks for AV operations
  • Collaborate with Strategy, Infrastructure, and Fleet Ops teams to translate AV deployment plans into financial projections
• Cross-Functional Partnership
  • Serve as the connective tissue between Business Operations, Finance, Fleet Operations, and external partners
  • Partner with cross-functional stakeholders to drive operational efficiency, cost optimization, and process improvement
  • Communicate financial insights and recommendations clearly to both technical and non-technical audiences

Experience:

• Bachelor’s degree in Finance, Business, Economics, Accounting, or a related field
• 5+ years of experience in business operations, financial planning & analysis, or a related analytical role—ideally in the automotive industry with exposure to autonomous vehicles
• Advanced proficiency in Excel/Google Sheets including complex financial modeling, scenario analysis, and data manipulation
• Strong foundation in accounting principles, financial reporting, and variance analysis
• Experience with month-end close processes, accruals, and reconciliation workflows
• Demonstrated ability to build and maintain financial models from scratch in a fast-paced, evolving environment
• Excellent communication skills with the ability to present complex analyses to senior leadership
• Comfort operating in ambiguity and building processes where none exist
• Excellent written and verbal communication skills, with the ability to distill complex analyses into clear, executive-ready insights
• Exceptional attention to detail and a track record of producing accurate, reliable analytical work
• Ability to manage multiple high priority demands simultaneously; ability to achieve success in situations with high degrees of variation and complexity
• Bonus Points
  • Experience in fleet management, rideshare, rental, or autonomous vehicles
  • Familiarity with vehicle remarketing, wholesale markets, or fleet lifecycle economics
  • Experience with BI tools (Tableau, Looker, Mode) or SQL for ad-hoc data analysis
  • Proficient in Salesforce generating and customizing reports and dashboards
  • Background working in a high-growth or startup environment where you built systems from zero
  • Background working on cross-functional initiatives that required aligning operational, financial, and strategic objectives
  • MBA or CPA

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

Note: For this role, candidates must reside in states registered for Flexdrive Services LLC.

Flexdrive 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 following the establishment of a Lyft Flexdrive hub or office in Nashville — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Flexdrive considers working in the office at least 3 days per week to be an essential function of this hybrid role. 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 Nashville area is $88,560 - $110,700, 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.

Flexdrive 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. Flexdrive also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Flexdrive will also consider employment for qualified applicants with criminal histories consistent with applicable federal, state and local law.

At Lyft, our purpose is to serve and connect. To accomplish this, we start with our community by creating an open, inclusive, and diverse organization. Our mission depends on having a digital representation of the physical world - a map with all routing related (real-time) information. This is what makes Lyft different from many products: our products don’t just facilitate online interactions, they facilitate dynamic, real-world ones. Without mapping services, none of these real world interactions between people and transport can happen.

We are hiring a Software Engineer to join our Mapping organization. In this role, you'll collaborate with other engineering teams, product, data science, analytics, and operations on programs that empower us to iterate quickly, delighting our passengers and drivers with rideshare focused mapping experiences.

Responsibilities:

• Drive high-impact projects and innovate new solutions to provide the best customer experiences
• Lead backend and cross functional projects to achieve long term goals as well as deliver short term roadmaps
• Lead large features from idea to successful execution and launch
• Own systems and components within the team and be accountable for their short term functionality and long term health
• Participate in code and architecture reviews to ensure code quality and distribute knowledge, as well manage call rotations and proactively improving processes
• Write well-crafted, well-tested, readable, maintainable code
• Share your knowledge by giving brown bags, tech talks, mentoring others, 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/production infrastructure industry experience
• Experience designing, debugging and running fault-tolerant, highly available, large-scale distributed systems
• Experience working with public cloud platforms (e.g., AWS, GCP, Microsoft Azure, etc.)
• Experience working with databases, relational or NoSQL
• Led a set of components or system from design to launch
• It would be a huge plus to have proficiency with Go and Python.

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 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

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.

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 Driver Education team designs, develops, and launches learning experiences for Lyft drivers in the in-app Learning Center. Our content spans everything from safety features to tax season tips to five-star driving guidance, reaching hundreds of thousands of drivers across the US and Canada. We also partner closely with the Learning Platform product team to shape the features and functionality that support driver learning and our business goals.

We're looking for a creative, tech-savvy Learning Experience Designer who is passionate about adult learning at scale. You'll craft content that meets drivers' needs across their full lifecycle on the platform, supporting a diverse community with a wide range of learning styles, language preferences, and regional contexts. Strong writing, deep empathy for learners, and the ability to move quickly are essential.

Responsibilities:

• Write, maintain, and update driver learning content, primarily for our in-app Learning Center.
• Consistently evaluate and iterate on content and learning solutions to maintain high quality, strong behavioral and business impact, and scalability.
• Collaborate with subject matter experts to develop both an empathetic and data-driven understanding of drivers, their educational needs, and their barriers to success.
• Advise on technological learning solutions—both in-app and off-platform—to ensure drivers receive materials where and when they need them.
• Serve as a subject matter expert for andragogy, championing new learning approaches and measurement tools to ensure we provide a best-in-class educational experience for drivers.
• Partner with the creative team to ensure alignment with brand standards, tone, and voice.
• Support the team’s cross-functional partners by ensuring awareness of new content and contributing to marketing efforts that help drivers find new learning experiences.
• Contribute to measurement frameworks that help the team evaluate content success and inform future development.

Experience:

• 2–5 years of experience in instructional design or developing adult learning content.
• Expertise in designing, developing, planning, implementing, and assessing educational content to current industry and adult learning standards.
• Proven experience collaborating with subject matter experts and influencing cross-functional stakeholders without formal authority.
• Familiarity with adult education best practices and a current understanding of how they apply to mobile-first, self-directed learning environments.
• Excellent writing and editing skills, with the ability to adapt voice and tone for a diverse, global audience.
• Ability to work on multiple priorities in a fast-paced, dynamic environment.
• Compassionate, customer-centric mindset.
• Nice to Have
  • Comfort using AI tools (such as Gemini or Claude) to support and accelerate content development workflows.
  • Experience with content management systems or content models.
  • Experience working with creative partners–visual designers, animators, or video producers.

Please submit your resume in English.

At Flexdrive, we're at the forefront of revolutionizing transportation by building the operational backbone for autonomous vehicle (AV) fleets. As a leader in fleet management, we're leveraging our expertise to enter the AV space, forming strategic partnerships with cutting-edge technology providers. We're looking for dedicated team members to help us pioneer this new chapter, starting with our first AV depot in Nashville, Tennessee.

The Opportunity

Reporting to the Depot Operations Lead, Flexdrive is seeking detail-oriented and technically capable Depot Operations Associates to ensure our autonomous vehicle fleet maintains optimal readiness for 24/7 operations. This hands-on role combines critical vehicle preparation, maintenance support, and calibration responsibilities that directly impact fleet availability and safety. You will be responsible for the complete vehicle lifecycle from pre-deployment checks through end-of-day diagnostics, including specialized calibration procedures that enable autonomous operation.

This position offers a unique opportunity to work with cutting-edge autonomous vehicle technology while developing expertise in AV operations, safety protocols, and technical procedures. If you're passionate about being part of the future of transportation and thrive in a fast-paced, detail-oriented environment, we encourage you to apply.

Work Schedule & Shift Availability

• This role supports 24/7 AV depot operations and requires availability to work overnight shift, with hours scheduled between 10:30 AM - 7:00 AM. Specific shift times and schedules will be determined based on operational needs and business requirements. 
• Schedules may include weekends and holidays based on depot operational requirements. We offer competitive shift differentials for night shifts and weekend hours.

Responsibilities:

Vehicle Readiness & Preparation:

• Daily Fleet Management: Review and assess available AVs each shift, executing pre-deployment safety checks and end-of-day diagnostics to ensure all vehicles meet operational readiness standards per partner requirements.
• Vehicle State Transitions: Progress vehicles through operational states by completing all required checklists, sensor inspections, and verification processes in the fleet management system.
• Quality Assurance: Perform comprehensive vehicle inspections following partner knowledge base standards, annotating issues and ensuring adherence to Critical to Quality processes.
• Task Execution: Manage daily tasks via digital task management system, ensuring efficient workflow and timely completion of all vehicle preparation activities.

Charging, Cleaning & Fleet Servicing:

• Vehicle Cleanliness Standards: Maintain interior and exterior cleanliness meeting partner brand standards, ensuring all components (body panels, glass, sensors) are free of dirt, debris, dust, and odors following established cleaning procedures.
• Charging Operations: Execute strategic charging activities at optimal times, including mid-day charging sessions, while completing concurrent tasks to maximize efficiency and maintain fleet availability.
• Preventative Maintenance: Perform basic preventative maintenance tasks that don't require dealership intervention, including fluid checks/refills, tire pressure adjustments, and minor component replacements per approved SOPs.
• Cleaning Chemical Compliance: Use only approved cleaning chemicals and follow hazardous materials handling protocols per EHS requirements.

Data Management & Security:

• Data Operations: Execute secure data handling activities including data transfers, offload procedures, and device tracking while maintaining chain of custody per security standards.
• Data Compliance: Ensure all data offload procedures meet established SLAs, maintaining proper documentation and verification of successful data transfers.
• Device Security: Use only employer-supplied, corporate-enrolled devices for photos and data transfer, ensuring no personal devices store proprietary information per security requirements.
• Secure Handling: Maintain strict security protocols for all sensitive hardware, following chain of custody standards for critical components.

Calibration & Technical Operations:

• Sensor Calibration: Conduct calibration activities to reintroduce repaired vehicles into autonomous operation, following precise procedures outlined in training materials and SOPs.
• Manual Driving Operations: Drive autonomous vehicles within depot and on public roads for calibration procedures, ensuring sensors are properly calibrated for autonomous operations.
• Technical Verification: Validate calibration success through system checks and diagnostic procedures, ensuring vehicles meet all technical requirements for autonomous deployment.
• Documentation: Maintain accurate records of all calibration activities, including completion times, issues encountered, and verification results.

Lot Management & Logistics:

• Vehicle Movement: Efficiently manage lot operations including parking, staging, and moving AVs to appropriate areas (deployment zones, charging stations, service bays) while optimizing depot flow.
• Status Management: Update vehicle status in real-time tracking systems, monitoring cycle times and ensuring accurate visibility of fleet readiness.
• Service Coordination: Confirm completion of all service and repairs, transitioning vehicles to appropriate next status while tracking SLA compliance.
• Issue Escalation: Flag maintenance needs and repair requirements to Fleet Supervisor or Depot Operations Lead, providing detailed documentation of observed issues.

Safety & Compliance:

• Safety Protocol Adherence: Follow all OSHA, EHS, and partner safety guidelines including proper PPE usage, hazardous material handling, and emergency response procedures.
• Training Compliance: Maintain all required qualifications and certifications, completing ongoing training through the partner's learning management system.
• Incident Reporting: Immediately report safety concerns, vehicle damage, or operational issues through appropriate channels, supporting incident investigation as needed.
• Quality Standards: Ensure all work meets or exceeds partner operations system standards and quality requirements.

Experience:

• High school diploma or equivalent required; technical certification or associate degree in automotive technology, logistics, or related field preferred.
• 1-2 years of experience in automotive, fleet operations, logistics, or similar hands-on operational environment.
• Valid U.S. driver's license with clean driving record (no major violations in past 3 years) - required for calibration driving duties.
• Mechanical aptitude with ability to perform basic vehicle maintenance and understand technical procedures.
• Strong attention to detail with ability to follow complex SOPs and maintain consistent quality standards.
• Physical capabilities to perform depot operations including ability to stand/walk for extended periods, lift up to 50 lbs, and work in various weather conditions.
• Technical proficiency with mobile devices, tablets, and basic computer systems for data entry and status tracking.
• Excellent communication skills for coordinating with team members and escalating issues effectively.
• Flexibility to work various shifts including nights, weekends, and holidays as part of 24/7 operations.
• Ability to obtain required certifications including Defensive Driving certification and role-specific qualifications.

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

The expected base pay range for this position in the Nashville area is $16.62-$20.27 per hour, not inclusive of potential equity offering, bonus or benefits. Pay ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the pay range specific to your working location and other factors during the hiring process.

We offer competitive shift differentials for night shifts and weekend hours.

Flexdrive 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. Flexdrive also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Flexdrive will also consider employment for qualified applicants with criminal histories consistent with applicable federal, state and local law.

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 is seeking a talented Manager of AV Strategy & Business Operations to join the Lyft Autonomous team. This role sits at the intersection of corporate strategy, financial modeling, and business operations as we scale autonomous vehicle partnerships across the United States and Europe.

The successful candidate will excel at strategic analysis, building financial models, and delivering data-driven insights to inform long-term plans and decision making. This person will work closely with cross-functional teams spanning FP&A, Fleet Operations, Legal, and Marketplace - and will need to operate comfortably across international markets and external partner organizations.

This individual will report directly to the Director of AV Strategy, Lyft Autonomous.

Responsibilities: 

• Strategic Planning & Market Analysis
  • Support ongoing strategic planning and go-to-market efforts across US and global markets.
  • Monitor industry trends, competitive dynamics, and partnership developments to inform Lyft strategic positioning.
  • Synthesize regulatory and political developments to assess impacts to launch plans, partner discussions, and market prioritization.
  • Conduct structured analysis and make data-driven recommendations for strategic choices such as potential investments, partnerships, and other opportunities.
  • Develop board-level materials, strategy presentations, and internal briefings that translate complex workstreams into clear narratives and recommendations.
• Strategic Finance & Financial Modeling
  • Design and build complex financial models to evaluate AV partnership economics, fleet deployment scenarios, and investment opportunities.
  • Support AV planning and decision making by creating short-term and long-term financial projections, scenario analyses, and sensitivity models.
  • Build and maintain commercial P&Ls for individual partnerships and markets, and support investment evaluation and execution, including financial due diligence.
  • Prepare financial analyses for leadership decisions, including total cost of ownership, fleet operations, and infrastructure planning.
  • Prepare deal overviews, investment memos, and board-level reviews for potential AV partnerships and strategic investments.
• GTM Planning & Business Operations
  • Collaborate with European teams and US operations to coordinate launch planning across multiple concurrent markets and AV partners.
  • Develop blueprints for AV deployments, including regulatory engagement, fleet logistics, real estate and infrastructure, and operational readiness.
  • Partner with FP&A, Product, Fleet Operations, Strategy, and Legal teams to support key AV initiatives and autonomous deployments.
  • Support partner management by tracking milestones, identifying blockers, and ensuring alignment between commercial agreements and operational execution.
  • Work closely with fleet operations teams to streamline workflows, improve fleet utilization, and enhance reporting capabilities.

Experience: 

Required

• Bachelor’s degree in Finance, Business, Economics, or related field; MBA or relevant advanced degree is a plus.
• 5+ years of experience in business operations, strategy, finance, or a similar analytical role, ideally within a high-growth tech environment or management consulting.
• Proficiency in financial modeling, forecasting, and data analysis with strong command of Excel, SQL, and data visualization tools.
• Excellent communication skills with proven ability to translate complex financial and strategic concepts for both technical and non-technical audiences.
• Demonstrated experience working with senior leaders and external partners to drive business outcomes.
• Strong analytical mindset with focus on detail, accuracy, and strategic thinking.

Preferred

• 3+ years prior experience with Autonomous Vehicles or adjacent mobility sectors.
• Experience with corporate development, M&A, or investment analysis.
• Experience conducting competitive landscape analysis and capability benchmarking.
• Familiarity with fleet management, asset utilization models, or mobility operations.
• Knowledge of European mobility markets and regulatory environments.
• Experience operating in matrixed or multi-entity organizational structures, particularly across US and international teams.
• Experience preparing board-level materials and executive communications.

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 $132,000 - $165,000, 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 is seeking a talented Manager of AV Strategy & Business Operations to join the Lyft Autonomous team. This role sits at the intersection of corporate strategy, financial modeling, and business operations as we scale autonomous vehicle partnerships across the United States and Europe.

The successful candidate will excel at strategic analysis, building financial models, and delivering data-driven insights to inform long-term plans and decision making. This person will work closely with cross-functional teams spanning FP&A, Fleet Operations, Legal, and Marketplace - and will need to operate comfortably across international markets and external partner organizations.

This individual will report directly to the Director of AV Strategy, Lyft Autonomous.

Responsibilities: 

• Strategic Planning & Market Analysis
  • Support ongoing strategic planning and go-to-market efforts across US and global markets.
  • Monitor industry trends, competitive dynamics, and partnership developments to inform Lyft strategic positioning.
  • Synthesize regulatory and political developments to assess impacts to launch plans, partner discussions, and market prioritization.
  • Conduct structured analysis and make data-driven recommendations for strategic choices such as potential investments, partnerships, and other opportunities.
  • Develop board-level materials, strategy presentations, and internal briefings that translate complex workstreams into clear narratives and recommendations.
• Strategic Finance & Financial Modeling
  • Design and build complex financial models to evaluate AV partnership economics, fleet deployment scenarios, and investment opportunities.
  • Support AV planning and decision making by creating short-term and long-term financial projections, scenario analyses, and sensitivity models.
  • Build and maintain commercial P&Ls for individual partnerships and markets, and support investment evaluation and execution, including financial due diligence.
  • Prepare financial analyses for leadership decisions, including total cost of ownership, fleet operations, and infrastructure planning.
  • Prepare deal overviews, investment memos, and board-level reviews for potential AV partnerships and strategic investments.
• GTM Planning & Business Operations
  • Collaborate with European teams and US operations to coordinate launch planning across multiple concurrent markets and AV partners.
  • Develop blueprints for AV deployments, including regulatory engagement, fleet logistics, real estate and infrastructure, and operational readiness.
  • Partner with FP&A, Product, Fleet Operations, Strategy, and Legal teams to support key AV initiatives and autonomous deployments.
  • Support partner management by tracking milestones, identifying blockers, and ensuring alignment between commercial agreements and operational execution.
  • Work closely with fleet operations teams to streamline workflows, improve fleet utilization, and enhance reporting capabilities.

Experience: 

Required

• Bachelor’s degree in Finance, Business, Economics, or related field; MBA or relevant advanced degree is a plus.
• 5+ years of experience in business operations, strategy, finance, or a similar analytical role, ideally within a high-growth tech environment or management consulting.
• Proficiency in financial modeling, forecasting, and data analysis with strong command of Excel, SQL, and data visualization tools.
• Excellent communication skills with proven ability to translate complex financial and strategic concepts for both technical and non-technical audiences.
• Demonstrated experience working with senior leaders and external partners to drive business outcomes.
• Strong analytical mindset with focus on detail, accuracy, and strategic thinking.

Preferred

• 3+ years prior experience with Autonomous Vehicles or adjacent mobility sectors.
• Experience with corporate development, M&A, or investment analysis.
• Experience conducting competitive landscape analysis and capability benchmarking.
• Familiarity with fleet management, asset utilization models, or mobility operations.
• Knowledge of European mobility markets and regulatory environments.
• Experience operating in matrixed or multi-entity organizational structures, particularly across US and international teams.
• Experience preparing board-level materials and executive communications.

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 $132,000 - $165,000, 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.

Flexdrive is a subsidiary of Lyft that works together with Lyft teams to realize our shared mission.

Flexdrive builds the operational backbone for the future of mobility. As a leader in fleet management and a Lyft subsidiary, we're extending our expertise into autonomous vehicle (AV) infrastructure — managing the physical operations that keep AV fleets safe, available, and performing at scale. Our Nashville depot is the first proof point in a multi-market expansion, and we're building the leadership team to sustain and scale it.

Reporting to the Director, Field Operations, Flexdrive is seeking a Senior Manager, AV Operations to lead a portfolio of AV markets. This role sits between the Director and the Operations Managers — translating strategic direction into field execution, developing the Operations Manager layer, and ensuring operational performance is consistent, safe, and scalable across markets.

This is a role for a senior operational leader who leads from the front — running a multi-market program with precision, holding a high bar across a team of managers, and owning the AV Partner relationship at a program level. The operational framework, safety programs, and partner protocols are established, and this leader's first job is executing within them at a high standard. As we scale, this role will also take on program-building scope — translating operational experience into repeatable systems and supporting new market readiness. You will be accountable for fleet readiness, team performance, safety compliance, and the operational health of every market in your portfolio.

Responsibilities:

Multi-Market Operational Leadership

• Portfolio Performance Ownership: Deliver consistent fleet readiness and demand targets across a portfolio of markets — holding Operations Managers accountable to outcomes, aligning team execution to organizational goals, and acting quickly to close performance gaps before they compound.
• Operational Standards & Consistency: Drive adherence to established SOPs, safety standards, and partner compliance requirements across all markets — ensuring consistent, high-quality execution and elevating performance through your Operations Manager team.
• Safety-First Leadership: Set and model a non-negotiable safety standard across all markets. Ensure incident response protocols are executed correctly at every site, escalations are handled with rigor, and safety documentation meets partner and regulatory requirements.
• Operational Continuity: Sustain 24/7 operational continuity across markets — identifying systemic risks before they become outages, ensuring Operations Managers have the resources and clarity to perform, and maintaining alignment between field execution and broader organizational objectives.

People Leadership & Team Development

• Team Development & Accountability: Develop and lead a team of Operations Managers — setting shared OKRs, providing regular coaching and feedback, and building the management depth needed to sustain high performance and drive continuous improvement across the portfolio.
• Workforce Capability & Culture: Foster a high-performing, safety-first culture across all markets — ensuring teams are fully trained, certified, and equipped for success. Champion continuous learning and create consistent opportunities for career development at every level of the team.
• Talent Pipeline & Org Readiness: Identify and develop high-potential talent within the workforce, ensuring each market maintains a strong internal pipeline. Partner with the Director on hiring, org structure, and leadership readiness as the portfolio evolves.

Partner & Stakeholder Collaboration

• AV Partner Program-Level Relationship: Own the AV Partner relationship at a program level — representing Flexdrive's operational performance in partner reviews, serving as the primary escalation point above market-level coordination, and ensuring compliance with partner requirements across all markets.
• Cross-Functional Alignment: Connect cross-functional teams — Safety, Training, Compliance, and FP&A — around shared operational goals. Advocate for field realities in planning and investment decisions, and ensure field operations are supported by the right resources, processes, and tooling.
• Regulatory & Audit Compliance: Ensure all markets maintain full compliance with local, state, and federal AV regulations. Own audit readiness across the portfolio and ensure documentation standards are upheld at every site.
• Vendor Oversight & Escalation: Serve as the strategic bridge between internal stakeholders, third-party service partners, and local depot leadership. While Operations Managers own daily floor execution, you will provide high-level oversight, resolve complex escalations, and ensure workflows consistently hit program SLAs.

Performance, Reporting & Continuous Improvement

• Metrics & Reporting Frameworks: Develop and own operational reporting across markets — building the metrics and reporting frameworks needed to monitor fleet performance, surface trends, and drive data-backed accountability through your Operations Manager team.
• Process Improvement & Efficiency: Lead cross-functional initiatives that drive process improvements and enhance operational efficiency across the portfolio. Identify systemic gaps, translate findings into actionable solutions, and ensure Operations Managers execute against them.
• Market Expansion Readiness: As new markets are added to the portfolio, ensure launch readiness by preparing Operations Managers and field teams with the training, certification, and operational playbooks needed to perform from day one.

Experience

• 8+ years of progressive operational leadership, with demonstrated experience managing multi-site or multi-market operations in a safety-critical environment.
• Proven track record leading managers — developing, coaching, and holding accountable a team of operational leaders across geographically distributed sites.
• Experience in AV, fleet, transportation, logistics, or a similarly regulated operational environment, with deep familiarity with safety management systems, high-voltage (HV) EV environments, strict chain-of-custody compliance for sensitive hardware, and regulatory compliance requirements.
• Demonstrated ownership mindset — experience setting OKRs, leading programmatic initiatives with a high degree of autonomy, and driving accountability through effective delegation across a team of managers.
• Data fluency — experience building performance metrics and reporting frameworks, interpreting operational trends, and using data to drive decisions and team accountability at scale.
• Excellent communication and leadership presence, with the ability to tailor communication for a broad range of audiences — from field teams to senior leadership, cross-functional partners, and external technology partners.

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

Note: For this role, candidates must reside in states registered for Flexdrive Services LLC.

Flexdrive 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. Flexdrive considers working in the office at least 3 days per week to be an essential function of this hybrid role. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

Flexdrive 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 following the establishment of a Lyft Flexdrive hub or office in Nashville — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Flexdrive considers working in the office at least 3 days per week to be an essential function of this hybrid role. 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 Nashville area is $127,920 - $159,900, 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.

Flexdrive 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. Flexdrive also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Flexdrive will also consider employment for qualified applicants with criminal histories consistent with applicable federal, state and local law.

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 Business is transforming how organizations move their people. From healthcare systems transporting patients to appointments, to educational institutions providing safe campus mobility, to transit agencies bridging first-and-last-mile gaps - we're solving critical transportation challenges for businesses and communities nationwide. We are at an inflection point for our Self Serve business and we need a Demand Generation Manager to help us scale.

We are looking for a Demand Generation Manager to develop the strategy and architect our program - from awareness to nurture, activation, and upsell. You'll partner with an agency to manage a substantial paid media budget, work across diverse verticals (healthcare, education, transit), and work closely with Product and Sales to optimize every touchpoint in the customer journey to drive leads and bookings.

Responsibilities:

• Define, own, and execute our end-to-end demand generation strategy across the customer lifecycle from demand generation through nurture, activation, and upsell
• Partner with an agency to scale proven channels while building new abilities to significantly increase lead volume, improve activation rates, and optimize returns
• Synthesize marketing insights to inform full-funnel creative and messaging that resonates across the customer journey for customers in segments like healthcare, business travel, and employee commute
• Partner with Sales to translate insights into high impact, scalable B2B strategies
• Collaborate with Product to reduce friction and optimize the customer experience from lead capture to first ride
• Build comprehensive nurture programs, including email marketing and segmentation strategies, to substantially increase lead quality and conversion
• Implement lead scoring and qualification frameworks to improve funnel efficiency and sales handoffs
• Partner with internal teams to implement marketing technology that enables personalized, automated campaigns at scale
• Track and optimize key funnel metrics such as MQLs, SQLs, conversion rates, and pipeline contribution

Experience:

• 5+ years of experience in demand generation, performance marketing, or similar area
• 2+ years of experience in B2B marketing with demonstrated success driving measurable outcomes
• Proven experience managing paid media budgets and optimizing return on investment
• Experience with marketing automation platforms (e.g. Marketo, HubSpot, Pardot) and CRM systems (e.g. Salesforce)
• Strong analytical capabilities with data-driven marketing experience and understanding of B2B funnel metrics
• Track record of A/B testing and campaign optimization
• Ability to partner cross-functionally with creative and data teams
• Exceptional written communication skills and strong cross-functional collaboration abilities
• Entrepreneurial mindset with bias toward action in fast-paced environments
• Excel proficiency required, SQL a plus
• Preferred
  • Experience with SaaS products and marketing to businesses of all sizes
  • Experience managing paid media and creative agencies
  • Hands-on experience with ABM, lifecycle marketing, and industry events

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 $115,000 - CAD $143,750, 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.

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 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, design, data science, analytics, and operations on code that empower us to iterate quickly, while focusing on delighting our passengers and drivers.

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 a Senior Software Engineer 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.

Responsibilities:

• Write well-crafted, well-tested, readable, maintainable code
• Participate in code reviews to ensure code quality and distribute knowledge 
• Participate in our teams on-call rotation. Identify, triage, debug and resolve issues/bugs across our various applications and platforms
• Have the ability to explain the various trade offs made in decisions
• Manage project priorities, deadlines, and deliverables.
• Partner with product managers, designers, data scientists and other engineering teams to build complex features and products from idea to positive execution
• Analyze our internal systems and processes and locate areas for improvement/automation
• Share your knowledge by giving brown bags, tech talks, and promoting appropriate tech and engineering best practices
• Provide technical mentorship and feedback to junior engineers
• Help establish roadmap and architecture based on technology and our needs

Experience:

• BS/MS or equivalent in Computer Engineering, Computer Science, or related field or equivalent practical experience
• 5+ years of software engineering industry experience
• Solid knowledge of distributed systems, relational and NoSQL databases
• Experience designing, debugging and running fault-tolerant, highly available, large-scale distributed systems
• Experience working with public cloud platforms (e.g., AWS, GCP, Microsoft Azure, etc.)
• Experience working with kubernetes and container technologies (e.g. Docker, cri-o, etc)
• Ability to work with a low-ego, highly collaborative, and cross-functional team

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 $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.

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 Lyft Business Product Platform team builds the systems and experiences that power Lyft's B2B products — enabling companies, organizations, and their employees to seamlessly access Lyft's transportation network. We sit at the intersection of product and platform, owning both the customer-facing features and the underlying infrastructure that makes them reliable at scale. Our work directly impacts how businesses integrate with Lyft, how admins manage their programs, and how millions of riders get where they need to go.

Responsibilities:

• Drive architecture and technical design for systems that are highly available, scalable, and built to last — not just for today's requirements but for where the product is heading
• Own features end-to-end: from shaping the technical spec and design through to production rollout and operational health
• Think critically about how AI capabilities can be incorporated into Lyft Business products to improve the experience for business admins and riders — and bring that perspective into roadmap and architecture conversations
• Make well-reasoned trade-off decisions and communicate them clearly to peers, leads, and cross-functional partners
• Write clean, well-tested, maintainable code and hold a high bar for the same in code reviews
• Partner across engineering, product, and design to align on direction and get buy-in on technical approaches
• Proactively engage in incident response, contributing both to resolution and to long-term reliability improvements
• Grow the team's technical culture through design reviews, tech talks, and mentorship

Experience:

• 5+ years of software engineering experience, with a track record of designing and shipping production systems at scale
• Strong system design instincts — you can reason through distributed systems trade-offs, identify failure modes, and choose the right architecture for the problem
• Curiosity and informed opinions about how AI can meaningfully improve product experiences, not just as a workflow tool but as a capability embedded in what we build
• Hands-on experience with large-scale, fault-tolerant distributed systems in a cloud environment (AWS, GCP, or Azure)
• Proficiency in object-oriented programming; experience with the languages and frameworks used in our stack is a plus
• Solid foundations in relational and NoSQL databases — data modeling, query optimization, and operational considerations
• Clear communicator who can explain technical decisions in writing, in design reviews, and across teams
• BS/MS in Computer Science, Computer Engineering, or equivalent practical experience

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 $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.

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 a Senior Technical Program Manager who brings exceptional technical and analytical skills to drive execution across high-impact product initiatives. Come be part of a team at Lyft focused on enabling and empowering engineering teams to deliver at scale.

Technical Program Managers at Lyft drive cross-functional initiatives, leveraging strong leadership, planning, communication, and collaboration skills. Our TPMs are technically strong with deep product and software engineering experience. They are problem solvers who make things happen by setting clear goals and inspiring teams to deliver. TPMs at Lyft are both strategic and tactical, doing what it takes to successfully deliver top-priority programs that have a material impact on the business.

This role will support product-facing teams within Rideshare, focusing initially on the Partnerships, Loyalty and Payments organization, where you will be responsible for helping them to create a singular loyalty offering that is accessible, emotional, rewarding, and which makes it simple to choose Lyft. You will collaborate with engineering, product, data science, design, analytics, and operations to drive iterative delivery that delights our riders and drivers.

Responsibilities

• Lead cross-functional product initiatives from ideation through planning, execution, launch, and post-launch — ensuring alignment, accountability, and measurable outcomes at every phase.
• Provide hands-on support across all phases of the software development lifecycle, including project planning, resource allocation, progress tracking, risk mitigation, KPI ownership and measurement, and leadership communications.
• Partner with engineering, product, data science, design, operations, and other business functions to build highly collaborative teams and maintain clear communication across teams and stakeholders.
• Drive loyalty and retention product programs, working closely with product and engineering to define success metrics, prioritize roadmap investments, and accelerate delivery of features that deepen customer engagement and lifetime value.
• Lead regulatory and compliance-driven product initiatives, navigating ambiguity and coordinating across legal, policy, product, and engineering stakeholders.

Experience

• 5+ years of experience in a customer-facing product environment, leading cross-functional teams to deliver complex product and platform initiatives iteratively, with multiple dependencies and constraints, in a highly dynamic and agile environment.
• Proven ability to operate effectively and autonomously across multiple teams in situations of extreme ambiguity, with only high-level direction.
• Experience as an embedded TPM partnering within product engineering teams, with the flexibility to shift into generalist capacity supporting multiple teams concurrently.
• Experience building roadmaps, release plans, and program plans with a thorough understanding of dependency management.
• Able to communicate highly technical problems and solutions at all levels — from individual contributors to C-level executives.
• Able to influence, negotiate, and inspire others in a matrixed environment; excellent organization, planning skills, and attention to detail.
• Experience compiling and presenting business and technology options, backed by data and experimentation, to decision makers.

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 $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.

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 vision of the Safety & Customer Care (SCC) team is to foster long-term loyalty to Lyft with every support interaction.  If we are successful, a Lyft customer will rarely interact with Lyft Support. But when that interaction occurs, their issue is resolved quickly, effectively, and with true care. For a Lyft customer, their experience of Support should be that “Lyft cares about me and made the experience easy.”

As a Data Analytics Lead, you’ll partner directly with cross-functional stakeholders to identify opportunities and design solutions for improving our customers’ support experience. You’ll leverage your analytical expertise to deliver actionable insights and recommendations to drive quality business decisions with customer-facing impact. The ideal candidate is a critical thinker and exceptional problem solver who can build strong relationships with different teams, and who is eager to serve as a leader within the broader Support organization to drive our business forward.

Responsibilities

• Partner with Product, Engineering, Data Science & Analytics, Business Operations and other cross-functional stakeholders to achieve business goals 
• Develop frameworks and scalable processes to drive decision-making and prioritization
• Define the metrics used to measure the success of strategic initiatives and health of our support platform; build dashboards to track metrics over time
• Design A/B tests and execute analyses to evaluate the impact of new product features and operational improvements
• Work closely with cross-functional partners to deliver data-driven insights and actionable recommendations for continuously improving the customer support experience
• Monitor and diagnose KPI performance and present findings to senior leadership

Experience

• Degree in a quantitative field like statistics, economics, applied math, operations research or engineering. Advanced degrees are preferred
• 5+ years of hands-on technical experience in a data science role or equivalent analytical role in a high growth startup
• Ability to translate unstructured business problems into clearly defined requirements with minimal oversight
• Strong problem-solving and analytical skills with the ability to transition between detailed data and high-level business problems
• Exceptional communication (listening, written, and oral) skills with the ability to present findings & recommendations targeted to the audience in question
• Strong interpersonal skills, with the ability to build relationships and trust across functions and work collaboratively
• Proficiency in SQL and Python with ability to independently break down large datasets and synthesize inputs from multiple sources

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 $118,000 - $147,500, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

At Lyft, community is what we are and it’s what we do. It’s what makes us different. To create the best ride for all, we start in our own community by creating an open, inclusive, and diverse organization where all team members are recognized for what they bring.  

Our core corporate functions (Finance, Supply Chain) are critical to Lyft’s success.  The health and sustainability of our applications, systems, tooling and processes are critical for daily operations and for Lyft’s ability to grow.  This Technical Business Systems Engineering role is responsible for supporting and sustaining Lyft's corporate systems through integration management, performance monitoring, incident response, automated workflows, and robust alerting. We are seeking an experienced Oracle Fusion ERP Technical Engineer with 4 - 5 years of hands-on expertise who can operate at the intersection of Technology, and Business Operations - developing, and optimizing the Oracle Fusion Cloud technical solutions that drive Lyft's financial ecosystem. The ideal candidate is proactive, detail-oriented, analytical, and service-focused, with the technical depth and business acumen to effectively partner with stakeholders across the organization.

Your Key Responsibilities:

• Develop robust and scalable solutions using Oracle Fusion technical tools including OTBI, BI Publisher, FBDI, REST/SOAP APIs, and Oracle Integration Cloud (OIC).
• Possess extensive experience in the technical components, configurations, and underlying processes of core Oracle Fusion Financial & Supply Chain modules.
• Build and maintain integrations between Oracle Fusion Financials and boundary applications such as tax engines, billing platforms, banking systems, and payment gateways.
• Develop custom reports, dashboards, and analytics using OTBI, BICC, BI Publisher, and Oracle Fusion Data Intelligence (FDI) to meet finance and operations reporting needs.
• Extensive experience in writing and optimizing SQL and PL/SQL scripts for data extraction, transformation, and validation.
• Experienced in partnering closely with Functional Finance teams to provide hands-on technical support during time-sensitive month-end and period-close activities, ensuring timely resolution of issues, data accuracy, and seamless execution of close processes.
• Exposure to Oracle AI Agent Studio with hands-on experience developing intelligent automations and AI-driven workflows.
• Build and maintain bank transmissions and other out-of-box Oracle transmission formats, working directly with banking partners to ensure seamless integration.
• Apply thorough knowledge of Host-to-Host (H2H) connections, including key exchange concepts, security protocols, and related connectivity standards.
• Manage Oracle Fusion Cloud environments across Development, Test, UAT, and Production, including refreshes, patch releases, quarterly updates, and version upgrades.
• Experience in supporting SOX compliance by gathering, preparing, and providing accurate and timely evidence for SOX controls, audits, and internal control assessments.
• Monitor infrastructure and application performance to enhance system resilience and business continuity.
• Proficient in creating Technical Design Documents (TDDs) and configuration workbooks, with hands-on experience supporting end-to-end testing cycles to ensure solution quality and alignment with business requirements.
• Work with Oracle Support by raising and managing Service Requests (SRs), driving issues through to effective and timely resolution.
• Collaborate with cross-functional teams to gather requirements and deliver efficient, scalable, and robust technical solutions.
• Demonstrate a proactive willingness to identify process improvement opportunities, and propose innovative technical solutions that bring measurable value to teams and enhance existing workflows
• Maintain thorough, up-to-date documentation of system configurations, integrations, workflows, and business requirements.
• Proficient in applying both Agile and Waterfall project methodologies across development, testing, and release activities, with the ability to adapt to the delivery model best suited to the project requirements.

Skills & Attributes:

• 4 - 5 years of work experience in IT systems with deep technical knowledge of Oracle Fusion Cloud Financial & Supply Chain modules.
• Enthusiastic about learning new technologies and staying current with emerging tools
• Strong problem-solving and troubleshooting skills with the ability to exercise mature judgment in complex and ambiguous situations. 
• Collaborative team player who thrives in cross-functional environments, fosters a culture of knowledge sharing, and contributes positively to team dynamics and collective success.
• Self-motivated and driven professional with a strong sense of ownership, proactively identifying opportunities for improvement and seeing them through to completion with minimal supervision.
• Good understanding of the software development lifecycle (SDLC) with solid familiarity across development, support, and release management activities.
• Experience transforming data and automating processes using scripting languages such as Python, with a focus on reducing manual effort and improving operational efficiency.

Please submit your resume in English.

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.

Our core corporate functions (Finance, Supply Chain) are critical to Lyft’s success.  The health and sustainability of our applications, systems, tooling and processes are critical for daily operations and for Lyft’s ability to grow.  The Business Systems Engineer possesses both business and technical acumen. This engineering role provides support for Lyft’s Corporate systems, managing their daily performance and incidents, implementing effective monitoring and alerting tools, creating automated workflows, building customer solutions, developing software, configuring applications, providing end user training and protecting all system related information assets.    

To effectively support our business stakeholders, candidates for this role must be proactive, detail oriented, highly subject oriented, analytical, service focussed and possess the ability to execute the following skills.

Your Key Responsibilities:

• Serve as a skilled Oracle Fusion Order-to-Cash (O2C) Techno-Functional professional, acting as a strategic bridge between business and technical teams to support and continuously enhance ERP Financials, O2C lifecycle, and Manufacturing modules within Oracle Fusion Cloud Applications or Oracle R12.
• Apply functional expertise alongside hands-on technical knowledge in integrations, reporting, and issue resolution, delivering results in a dynamic, client-facing environment.
• Support end-to-end O2C processes encompassing Customer & Account Setup, Order Management, Pricing & Discounts, Shipping & Fulfillment, Billing & Invoicing, Receivables & Cash Applications, Lockbox Functionality, and Collections & Adjustments.
• Bring a minimum of 4 years of hands-on implementation experience across a combination of Oracle Financials and Supply Chain modules, including Accounts Receivables, Plan to Manufacture, General Ledger, Subledger Accounting, Cash Management, and Order to Cash.
• Experience in subscription and usage-based billing environments, with an understanding of integrations with CRM, billing, and tax platforms can be an added advantage.
• As a Business Systems Engineer, you are responsible for capturing, analyzing and estimating customer business requirements and translating them into Oracle Cloud ERP and Boundary apps solution architecture that fits within the business objectives.Must be able to quickly engage in calls with the Business and stakeholders to provide immediate support during critical periods, such as the month-end close process or any other high-priority task.
• Demonstrate a strong drive to learn and investigate in the event of urgent and novel issues.
• Should be capable of coordinating the design, interpreting requirements, and translating them into ERP configurations, with expertise in Oracle Fusion setups.
• Should be completely hands on and have the ability to identify issues and track them to closure.
• Maintain good level knowledge of Accounting and Basic Business Process Flows, with solid exposure to data migration using FBDI (File-Based Data Import).
• Leverage SQL, PL/SQL, BI, OTBI reporting tools to drive data-driven insights and reporting solutions (preferred and added advantage).
• Coordinate and manage design, development, and testing activities across project phases to ensure timely and high-quality delivery.
• Show interest to Technology Innovation by staying ahead of emerging trends including Generative AI and Agentic AI to proactively identify and implement opportunities that drive O2C performance and operational efficiency.
• Drive calls with O2C Business stakeholders weekly to access and work on priorities and enhancements and get involved in month end activities during Period close.
• Work closely with Integration teams and other boundary applications to build, test, and deploy seamless connections with CRM,platform, and other supporting systems.
• Communicate effectively with diverse stakeholders through verbal, written, and presentation skills, utilizing tools such as Google Slides and Lucidchart.
• Apply problem-solving and troubleshooting capabilities with judgment to resolve technical and functional challenges within O2C.
• Maintain comprehensive and up-to-date documentation of system requirements, configurations, and processes in line with organizational standards.
• Oversee the deployment of new software releases, version upgrades, patch updates, and critical incident management.
• Experience in supporting SOX compliance by gathering, preparing, and providing accurate and timely evidence for SOX controls, audits, and internal control assessments.
• Work with Oracle Support by raising and managing Service Requests (SRs), driving issues through to effective and timely resolution.
• Manage stakeholder expectations and develop detailed, actionable implementation plans to support successful project delivery.
• Apply Agile methodology across software development, systems integration, and application configuration activities to drive iterative and efficient delivery.
• Maintain thorough, up-to-date documentation of system configurations, integrations, workflows, and business requirements.

Skills & Attributes:

• Brings 4-5 years of IT systems experience with domain expertise in Order to Cash processes within Oracle Fusion Cloud, demonstrating a strong command of functional and technical(good to have) aspects of the saas platform..
• Has a good working understanding of the software development lifecycle, with growing familiarity in development, enhancement, and day-to-day support activities.
• Should be comfortable enough to report to a Senior level Business Systems Engineer.
• A reliable and collaborative team member who works effectively in cross-functional settings, actively participates in knowledge sharing, and contributes constructively to team goals and a positive team culture.
• Should show the urge to learn new things and easily adaptable and scalable to new technologies.
• Adapt at bridging the gap between business and technology comfortable engaging empathetically with stakeholders across all levels, from Support business owners to technical partners, ensuring needs are accurately captured and clearly communicated.

Please submit your resume in English.

At Lyft, community is what we are and it’s what we do. It’s what makes us different. To create the best ride for all, we start in our own community by creating an open, inclusive, and diverse organization where all team members are recognized for what they bring.  

Our core corporate functions (Finance, Manufacturing and Supply Chain) are critical to Lyft’s success.  The health and sustainability of our applications, systems, tooling and processes are critical for daily operations and for Lyft’s ability to grow.  The Business Systems Engineer possesses both business and technical acumen. This engineering role provides support for Lyft’s Corporate systems, managing their daily performance and incidents, implementing effective monitoring and alerting tools, creating automated workflows, building customer solutions, developing software, configuring applications, providing end user training and protecting all system related information assets.    

To effectively support our business stakeholders, candidates for this role must be proactive, detail oriented, highly technical, analytical, service focussed and possess the ability to execute the following skills

Responsibilities:

• Techno-Functional professional with 5+ years of experience in ERP Financials, Supply chain and Manufacturing implementations (e.g., Oracle ERP Cloud).
• A minimum of 5 years of experience implementing some combination of Oracle Financials & Supply Chain applications such as: Plan to Manufacture, Source to Pay, Acquire to Retire, Warehouse Management, Cost Accounting, Inventory Management, Supply Chain Planning, Order Management, General Ledger, Subledger Accounting, Procure-to-Pay, Financial Accounting Hub , Accounts Receivables, Accounts Payables, Cash Management, Fixed Assets, Order to Cash, Record to Report, Advanced Global Intercompany Systems,  FCCS, ARCS, EDMCS, Macro excel, EPBCS tracks.
• Demonstrated experience in gathering and documenting business requirements, leading fit-gap analysis, as-is and to- be business process designs, functional configuration, testing, user training.
• As a Lyft Business Systems Engineer, you are primarily responsible for capturing, analyzing and estimating customer business requirements and translating them into Oracle Cloud ERP and Boundary apps solution architecture that fits within the business objectives.
• Expert knowledge in Accounting and Business Process Flows.
• Good exposure to Data migration using FBDI.
• Should be able to design custom solutions using the Oracle best practices of Oracle finance, Supply chain  and Manufacturing.
• Should be able to coordinate the design, development, and different testing activities
• Experience on SQL, PL/SQL, BIP, OTBI, APEX and BICC reports.
• Must have experience collaborating with business users on business process enhancements in the manufacturing ecosystem.
• Strong oral and written communication skills, including presentation skills (gslides, lucid charts)
• Strong problem solving and troubleshooting skills with the ability to exercise mature judgment
• Maintain and document current and new system requirements
• Work with product, engineering and operational business stakeholders to understand and prioritize business systems needs
• Monitor infrastructure and platform performance.
• Manage the deployment of new software, version upgrades, patch releases and major incidents.
• Manage development, Test, Release and Production environments in Cloud.
• Identify actionable, value-added optimization and efficiency opportunities, and contribute to the continuous improvement of our applications and processes.
• Manage stakeholder requirements and develop detailed implementation plans
• Carry out regular stakeholder meetings, run workshops and effective communication and collaboration sessions.
• Good understanding of Role based architecture and custom role design
• Good Understanding of REST API and Web services usage
• Carry out technical system audits to ensure compliance with appropriate standards.
• Employ agile methodology in the development of software, systems interfaces and application configurations.

Experience & Skills:

• 5+ years work experience in IT systems and deep domain knowledge of the associated Business Systems Oracle Fusion cloud.
• Good understanding of the software development lifecycle and familiarity with development and support activities.
• Experience of developing plans and project management techniques. 
• Proven ability to translate unstructured business problems into clearly defined requirements
• Comfortable communicating and empathizing with individuals across a variety of roles — you will need to gather needs from Support business owners, and then articulate those needs to technical partners
• Experience transforming data & automating processes using a scripting language like Python.
• Proven success in enterprise back-up, system recovery, performance monitoring, virtualization, cloud computing and storage, content delivery, caching, creating volumes, assigning resources and remote replication.

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 $102,000 - CAD $127,500, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

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

This job fills an existing vacancy.

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 autonomous transition is a transformational opportunity for Lyft. Our strategy focuses on becoming the preferred marketplace, fleet, and operational partner for the world's best Autonomous Vehicle (AV) providers. Lyft will leverage our platform advantages and scale to enable the success of AV partners across the value chain, from AV technology providers to OEMs to fleet providers. This role will help shape the future of AV partnerships at Lyft by supporting the origination of new partner relationships and keeping a rapidly expanding pipeline of opportunities moving forward. You will work in a highly collaborative, fast-paced environment.

As a qualified candidate, you have a track record of managing multiple complex workstreams simultaneously and delivering high-quality outputs in a commercial or deal-making environment. You are a strong communicator who can prepare crisp, well-structured materials for senior audiences and represent Lyft professionally in partner-facing settings. You are able to coordinate across internal teams — strategy, finance, legal, and corporate development — to move deals forward efficiently. You uphold a high quality bar and have a strong appreciation for the details that matter in a commercial process. Above all, you are intellectually curious, energised by a full pipeline, and eager to develop deep expertise in the AV industry.

Responsibilities:

• Keep the pipeline moving by coordinating active AV partner conversations — scheduling meetings, setting agendas, tracking follow-ups, and making sure nothing falls through the cracks
• Make every partner interaction count by preparing crisp, well-structured materials for partner meetings, internal deal reviews, and leadership pipeline updates
• Accelerate deal momentum by drafting initial LOIs, MOUs, and term sheet inputs under the direction of the senior origination lead, turning alignment into written commitments
• Drive investment decision-making by working in close collaboration with the Corporate Development team — helping to evaluate partner opportunities, synthesise commercial context, and inform equity investment recommendations
• Give the team a clear view of the pipeline by maintaining accurate and up-to-date status, next steps, and open items across all active conversations
• Build the expertise to own deals independently over time by developing deep knowledge of different sectors — OEM, SDS, Fleet — and earning increasing responsibility for partner conversations
• Help senior leadership stay focused on the highest-value opportunities by supporting the origination lead in representing the pipeline clearly and confidently to senior stakeholders
• Stay ahead of the market by monitoring the AV ecosystem — tracking new entrants, funding rounds, partnerships, and competitive moves to inform pipeline prioritization and surface emerging opportunities

Experience:

• 3–5 years of experience in business development, strategy, or a similar commercial role
• Demonstrated ability to manage multiple active workstreams simultaneously with strong attention to detail
• Excellent written and verbal communication skills; able to prepare high-quality materials for senior internal and external audiences
• Strong cross-functional collaboration skills; comfortable working across strategy, finance, legal, and operations teams
• Genuine intellectual curiosity about the AV industry and appetite to develop expertise in a fast-moving space
• Familiarity with commercial document drafting — LOIs, MOUs, or term sheets — is a plus
• Prior experience in BD or a deal-making environment is a plus, as is prior exposure to equity investment processes, including experience at a corporate VC or in a corporate development function
• Knowledge of the AV, automotive, or mobility ecosystem is a plus

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 $118,000 - $147,000 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 vision of the Safety & Customer Care (SCC) team is to foster long-term loyalty to Lyft with every support interaction.  If we are successful, a Lyft customer will rarely interact with Lyft Support. But when that interaction occurs, their issue is resolved quickly, effectively, and with true care. For a Lyft customer, their experience of Support should be that “Lyft cares about me and made the experience easy.”

As a Data Analytics Lead, you’ll partner directly with cross-functional stakeholders to identify opportunities and design solutions for improving our customers’ support experience. You’ll leverage your analytical expertise to deliver actionable insights and recommendations to drive quality business decisions with customer-facing impact. The ideal candidate is a critical thinker and exceptional problem solver who can build strong relationships with different teams, and who is eager to serve as a leader within the broader Support organization to drive our business forward.

Responsibilities

• Partner with Product, Engineering, Data Science & Analytics, Business Operations and other cross-functional stakeholders to achieve business goals 
• Develop frameworks and scalable processes to drive decision-making and prioritization
• Define the metrics used to measure the success of strategic initiatives and health of our support platform; build dashboards to track metrics over time
• Design A/B tests and execute analyses to evaluate the impact of new product features and operational improvements
• Work closely with cross-functional partners to deliver data-driven insights and actionable recommendations for continuously improving the customer support experience
• Monitor and diagnose KPI performance and present findings to senior leadership

Experience

• Degree in a quantitative field like statistics, economics, applied math, operations research or engineering. Advanced degrees are preferred
• 5+ years of hands-on technical experience in a data science role or equivalent analytical role in a high growth startup
• Ability to translate unstructured business problems into clearly defined requirements with minimal oversight
• Strong problem-solving and analytical skills with the ability to transition between detailed data and high-level business problems
• Exceptional communication (listening, written, and oral) skills with the ability to present findings & recommendations targeted to the audience in question
• Strong interpersonal skills, with the ability to build relationships and trust across functions and work collaboratively
• Proficiency in SQL and Python with ability to independently break down large datasets and synthesize inputs from multiple sources

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 $118,000 - $147,500, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

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.

Data and analytics are at the heart of Lyft's products and decision-making. As a member of the Lyft Urban Solutions team, you will play a key role in shaping the future of bikeshare by leveraging data to improve the performance of our bikeshare and scooter markets across America. A successful candidate thrives in a dynamic and collaborative environment, has a natural curiosity, and isn’t afraid to dive deep.

In this role, you will collaborate closely with Operations, Policy, Engineering, Product and Finance teams to drive data-informed strategies that align our operations and products with city transportation goals and user needs. You will work in a fast-paced environment where analytical insights directly impact decisions ranging from fleet management and operations performance to pricing and product features to long-term investments in bikesharing infrastructure.

We’re looking for a passionate and driven Data Analyst to tackle some of the most complex and impactful challenges in micromobility. If you’re excited about shaping the future of urban mobility through data, we’d love to hear from you.

Responsibilities:

• Partner with Product, Engineering, Policy, Operations, Finance and other cross-functional stakeholders on initiatives to conduct deep-dive analyses to root cause issues and propose solutions
• Develop frameworks, business logic and scalable processes to streamline reporting and drive decision-making
• Forecast operational requirements needed to maintain high service levels and meet contractual and financial targets
• Work closely with cross-functional partners to deliver data quickly, reliably and accurately to our city partners
• Monitor and diagnose KPI performance and present findings to senior leadership

Experience:

• 3-5+ years experience in data analytics in a high-growth environment, preferably a consulting, operations or transportation / logistics space
• Bachelor's Degree or equivalent relevant professional experience
• Highly skilled in SQL and quantitative analysis, you can deep dive into large amounts of data, draw meaningful insights, dissect business issues and draw actionable conclusions
• Ability to develop scalable approaches and produce data visualizations to drive business insights and provide tangible solutions; experience building dashboards for performance analysis is a plus
• Extreme comfort working with ambiguity. Ability to translate unclear issues or unstructured problems into clearly defined requirements with minimal oversight
• Strong interpersonal skills, with the ability to build relationships, trust and influence with cross-functional partners
• Great communication (listening, written, and oral) skills with the ability to present findings & recommendations targeted to the audience in question
• Strong attention to detail, structured thinking and experiences developing processes to reduce human error
• Adept at contextualizing real world operations into analytical problem solving
• A strong sense of product ownership - you’re constantly looking for ways to improve the customer’s experience and aren’t afraid to get your hands dirty to do so
• Passionate about sustainable mobility and active transportation
• Bonus: Proficiency in Python and associated data science libraries

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 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

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 $96,000 - CAD $120,000, 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.

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.

Data is at the heart of Lyft’s products and decision-making. You will leverage data and rigorous, analytical thinking to shape our products and make business decisions. This will involve performing rigorous product deep dives, identifying opportunities for product enhancements, and measuring the impact of new features.

The Global Growth team is at the forefront of innovation at Lyft, focused on expanding Lyft beyond North American rideshare’s core products. This includes our premium Luxury modes and Livery drivers, building a unified Lyft presence internationally, and enabling Autonomous Vehicles (AVs) domestically and abroad. These teams are at the center of innovation and the future of Lyft’s growth, and this role would be directly shaping the strategic roadmap for these crucial areas. As an Analytics Lead, you will collaborate with our world class team of engineers, product managers, and designers to think critically about the current rider and driver experience and implement product enhancements to facilitate market growth.

The ideal candidate can apply strong business acumen to propose product and marketplace changes, and is comfortable working with a highly cross functional team. This role will help define Lyft’s strategy for growing luxury modes, setting the strategic roadmap for pricing, driver pay, and product development. In this role, you will help us tackle problems such as:

• How should we be pricing our premium Luxury products? Who are our current Luxury riders and what segment is most likely to grow our rider base?
• How can we best merchandise Luxury rideshare products within the Lyft app? What product features or app changes would improve the rider experience and motivate riders to take more Luxury rides?
• How do coupons and incentives motivate riders and drivers in premium segments?
• What is the value of offering a higher quality experience? How can we measure it? What metrics can we create?

Responsibilities:

• Develop frameworks and deliver analyses to guide decision-making and prioritization across functions
• Uncover new areas of opportunity to grow Lyft’s Luxury portfolio. Manage, build, and automate models and reporting to provide actionable insights on the Lyft Luxury marketplace, including rider, driver, and general efficiency metrics. Utilize data and analyses to influence business strategy and product roadmaps
• Regularly partner with Product, Engineering, Operations, Marketing, and Data Science and collaborate with teammates in the Global Growth Org 
• Present findings, recommendations, and results to senior leadership and cross-functional stakeholders

Experience:

• 2-5+ years experience in management consulting, strategic data science/analytics roles in a technology company, or an equivalent analytical role in a high growth startup
• Experience in leading high visibility projects and influencing others in a cross-functional team environment
• Experience in communicating with and presenting to senior leaders and data storytelling
• Strong ability in building decision making frameworks and data analysis, able to understand business issues, analyze large amounts of data, and draw actionable conclusions
• Entrepreneurial self-starter - you naturally take ownership, look for opportunities, and do whatever it takes to drive results

Skills:

• Ability to independently break down large datasets and synthesize inputs from multiple sources
• Ability to think strategically about complex and unstructured business problems, leading to recommendations and action plans
• Ability to craft a compelling story and concisely present recommendations across teams and levels including both technical and non-technical audiences
• Ability to manage, influence, negotiate, and inspire others in a fast-moving and ambiguous environment
• Ability to use data visualization tools to provide actionable insights and reusable frameworks
• Strong written and verbal communication skills for internal stakeholders, including senior leadership
• Strong product and user experience sense
• Excellent organization, planning skills, and attention to detail
• Advanced analytical and problem solving skills
• Proficiency in SQL

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 $99,000-$123,750, 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 is seeking an experienced, strategic, and self-motivated attorney to join the Product & Commercial Legal Team to focus primarily on Lyft’s safety initiatives, driver issues, and public policy.  You’ll partner with and provide legal guidance to various cross-functional organizations such as Safety & Customer Care, Risk, Driver, Rider, Policy, and Marketing. The legal issues you’ll encounter are some of the most challenging in the industry; they are cutting edge, revolutionary and always evolving, so it will be up to you to advise with a creative and pragmatic approach. The successful candidate will be skilled at building strong relationships, working in the unknown while balancing legal risks, and comfortable working in a fast-paced and dynamic environment.

Responsibilities:

• Serve as a strategic thought leader and trusted advisor to cross-functional teams such as Safety and Risk to actively shape and guide Lyft's overall approach to community safety, road safety, and fraud prevention on the Lyft Platform — providing the legal frameworks needed to drive immediate and long-term strategies forward
• Provide rapid-response legal guidance on sensitive safety incidents and collaborate with the Comms and Litigation teams to manage risk
• Lead and contribute to high-impact, long-term initiatives coordinating across teams to ensure timely execution of public-facing and internal programs
• Partner closely with various cross-functional organizations such as Product, Marketing, Engineering, Risk, Public Policy and Comms to recognize and mitigate regulatory, safety, consumer protection, and employment classification issues related to the development and commercialization of driver and rider-facing products and programs
• Understand and advance Lyft’s priorities by connecting issues across business leaders and subject matter experts to develop and drive comprehensive, long-term legal strategies that balance risk and business objectives
• The successful candidate will be pragmatic, entrepreneurial and resourceful, skilled at building strong relationships, and comfortable working in a fast-paced, dynamic, and often ambiguous environment
• Collaborate with legal team members to improve processes, calibrate an approach to legal risk, and ensure business demands are satisfied
• Assist other teams with projects on an as-needed basis

Experience:

• 5+ years of experience working in a law firm or in-house legal department
• J.D. from a top-tier law school and active membership in at least one U.S. state bar
• Experience providing legal counsel on user trust and safety issues at a tech company or other relevant industry
• Ability to approach unfamiliar questions and topics with energy and curiosity
• Demonstrated experience handling sensitive, high-profile, or reputationally complex matters with sound judgment  
• Comfort navigating uncharted territory — able to craft creative, practical legal solutions where the rules are unclear and there is no obvious playbook
• A creative and entrepreneurial approach to legal problem-solving, with the ability to balance legal risk against operational realities and propose solutions that are both defensible and workable in practice
• Excellent problem-solving capabilities, independent judgment, communication (written and verbal), interpersonal skills, and ability to provide firm but well-reasoned advice. 
• Ability to think quickly on your feet, convey grace under pressure, and simultaneously manage workloads, multiple client demands and shifting priorities.

Benefits:

• Great medical, dental, and vision insurance options
• Mental health benefits
• In addition to 12 observed holidays, salaried team members have unlimited paid time off, hourly team members have 15 days paid time off
• 401(k) plan to help save for your future
• 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
• Pre-tax commuter benefits
• Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program

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 $176,000-$220,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

At Lyft, our purpose is to serve and connect. To do this, we start with our own community by creating an open, inclusive, and diverse organization

Data is at the heart of Lyft’s products and decision-making. You will leverage data and rigorous, analytical thinking to shape our products and make business decisions. This will involve performing rigorous product deep dives, identifying opportunities for product enhancements, and measuring the impact of new features.

The Global Growth team is at the forefront of innovation at Lyft, focused on expanding Lyft beyond North American rideshare’s core products. This includes our premium Luxury modes and Livery drivers, building a unified Lyft presence internationally, and enabling Autonomous Vehicles (AVs) domestically and abroad. These teams are at the center of innovation and the future of Lyft’s growth, and this role would be directly shaping the strategic roadmap for these crucial areas. As a Data Analyst, you will collaborate with our world class team of engineers, product managers, and designers to think critically about the current rider and driver experience and implement product enhancements to facilitate market growth.

The ideal candidate can apply strong business acumen to propose product and marketplace changes, and is comfortable working with a highly cross functional team. This role will help define Lyft’s strategy for growing luxury modes, setting the strategic roadmap for pricing, driver pay, and product development. In this role, you will help us tackle problems such as:

• How should we be pricing our premium Luxury products? Who are our current Luxury riders and what segment is most likely to grow our rider base?
• What is the best way to continue to grow and deploy AVs on our platform? What use cases do riders prefer AVs?
• How do we ensure a consistent excellent rider experience across non-traditional driver sources?
• How do coupons and incentives motivate riders and drivers in premium segments?
• What is the value of offering a higher quality experience? How can we measure it? What metrics can we create?

Responsibilities

• Develop frameworks and deliver analyses to guide decision-making and prioritization across functions
• Uncover new areas of opportunity to grow Lyft’s driver population
• Manage, build, and automate models and reporting to provide regional and national teams with actionable insights on volume, efficiency, and driver experience
• Utilize data and analyses to influence business strategy and product roadmaps
• Regularly partner with Product, Engineering, Operations, Marketing, and Data Science
• Present findings, recommendations, and results to senior leadership and cross-functional stakeholders

Experience

• 3+ years experience in management consulting, strategic data science/analytics roles in a technology company, or an equivalent analytical role in a high growth startup
• Experience in leading high visibility projects and influencing others in a cross-functional team environment
• Experience in communicating with and presenting to senior leaders and data storytelling
• Strong ability in building decision making frameworks and data analysis, able to understand business issues, analyze large amounts of data, and draw actionable conclusions
• Entrepreneurial self-starter - you naturally take ownership, look for opportunities, and do whatever it takes to drive results

Skills

• Ability to independently break down large datasets and synthesize inputs from multiple sources
• Ability to think strategically about complex and unstructured business problems, leading to recommendations and action plans
• Ability to craft a compelling story and concisely present recommendations across teams and levels including both technical and non-technical audiences
• Ability to manage, influence, negotiate, and inspire others in a fast-moving environment
• Ability to use data visualization tools to provide actionable insights and reusable frameworks
• Strong written and verbal communication skills for internal stakeholders, including senior leadership
• Strong product and user experience sense
• Excellent organization, planning skills, and attention to detail
• Advanced analytical and problem solving skills
• Proficiency in SQL

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 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

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 $102,000 - CAD $127,500, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

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

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.

In this role, you will closely collaborate with various teams to curate and maintain places data sets that are essential for our operations and decision-making processes. As a Data Curation Associate, you will work on multiple projects, analyzing data to identify, fix, or report issues while strictly following established policies to ensure high accuracy. A key part of your role will involve "deep-dive" analysis into search queries—for example, investigating why a user couldn't find a specific place—to understand if our dataset is missing a location or contains naming discrepancies.

We are looking for someone who has good analytical skills and is able to process a large amount of data. If you have an entrepreneurial spirit, like to solve challenging problems, and want to be part of the next big thing at Lyft, we would love to meet you!

Responsibilities:

• Analyze search-related issues and select the most relevant resolution, following our workflows and policies. 
• Review and correct large volumes of data, meticulously documenting issues for analysis.
• Escalate issues effectively to relevant internal teams.
• Perform deep dives and root cause analysis. 
• Work with mapping tools with high accuracy in accordance with guidelines.
• Work with the Google Suite of products/services such as Gmail, Docs, Sheets, Meet, Calendar, etc.
• Maintain a high level of accuracy, attention to detail, and integrity.

Experience:

• Upper-Intermediate (B2) level of English or higher.
• Ability to perform repetitive tasks with high concentration and sustained attention to detail.
• General understanding of the traffic regulations and mapping fundamentals.
• Customer obsessed: You have proven experience working with customers and are passionate about delivering great customer experiences with a strong track record to back that up. You have analytical and problem-solving skills to help implement changes that improve the customer experience.
• Collaborative communicator: You excel in verbal and written communication (English, Ukrainian). You collaborate effectively with your team and can communicate with other teams or stakeholders as needed. You are receptive to feedback and direction, enabling you to successfully carry out tasks and contribute to team goals.
• Technical Fluency: You feel comfortable using Google Workspace products, as well as learning new processes, systems & tools.

Nice to have:

• Experience analyzing failed user sessions.
• General experience working with repetitive tasks and\or data analysis with high concentration.
• Experience mentoring/sharing knowledge with the team.
• Background in mapping, cartography and any related fields. 
• Familiarity with Jira.
• Basic understanding of SQL.

Benefits:

• Professional and stable working environment.
• The latest technology and equipment you need.
• 28 calendar days for vacation and up to 5 paid days off.
• 18 weeks of paid parental leave. Biological, adoptive and foster parents are all eligible.
• Mental health benefits.
• Family building benefits.
• This role is fully remote in Ukraine, candidates for this role must be based in Ukraine.

This role is fully remote in Ukraine, however, employees are required to live and work in Ukraine in order to be qualified for this position. #Remote

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.

As a Data Engineer on the Mapping team, you will collaborate with our world class team of engineers, product managers, and data scientists to grow and improve the quality of recommended routes and accuracy of our travel time estimations. You will architect, build, and maintain scalable data pipelines and services to support route simulation, experimentation, analytics, and machine learning models. Your work will enable integration with partner teams and allow stakeholders across Engineering, Data Science, and Product to make data-informed decisions that directly impact Lyft’s growth and profitability.

Our technology stack is based on the latest technologies such as AWS, Kubernetes and Apache Airflow. You will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on projects that directly impact millions of riders and drivers.

Responsibilities

• Owner of the core data pipelines in mapping, responsible for scaling up data processing flow to meet the rapid data growth at Lyft
• Develop strong subject matter expertise in the systems you manage, setting and managing SLAs for both data pipeline and datasets
• Continuously evolve data models and schemas to meet business and engineering requirements
• Develop tools that support self-service management of data pipelines (ETL), schema evolution, and perform SQL tuning to optimize data processing performance
• Write clean, well-tested, and maintainable code, prioritizing scalability and cost efficiency
• Conduct code reviews to uphold code quality standards and facilitate knowledge sharing
• Participate in on-call rotations to maintain high availability and reliability of data workflows
• Unblock, support and communicate with internal & external partners to achieve results

Experiences

• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field
• 4+ years of relevant professional experience
• Strong experience with Spark and with a scripting language (Python, Ruby, Bash)
• Exceptional analytical skills, with an in-depth understanding of data quality issues and the ability to dive into complex datasets to resolve inconsistencies
• Excellent communication skills, with the ability to articulate technical concepts clearly to both technical and non-technical audiences while collaborating effectively across teams
• Experience with disparate database, querying and streaming technologies such as S3, DynamoDB, HDFS, Hive, Presto, Pig, HBase, Parquet, Iceberg, Flink, Spark Streaming, Kafka
• Experience with data quality tools such as Great Expectations, dbt, Monte Carlo, Soda, Collibra
• Strong understanding of SQL Engine, experience with querying geospatial data, and able to conduct advanced performance tuning
• Proficient in at least one of the SQL languages (MySQL, PostgreSQL, SqlServer, Oracle)
• Experience with workflow management tools (Airflow, Oozie, Azkaban, UC4, Prefect)
• Experience with infra tooling (Terraform, Cloud Formation, Docker, Kubernetes, Ansible, Chef, Puppet etc preferably in an AWS context) 
• Experience defining API schemas and developing backend services in a microservices environment

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.

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 Safety and Customer Care (SCC) team at Lyft manages over 1.7 million monthly human and AI interactions and serves as Lyft's primary direct touchpoint with riders and drivers. We handle critical infrastructure that powers both human associates and AI agents to make riders and drivers feel safe and comfortable while riding or driving with Lyft, transforming every support interaction into a moment of genuine connection. 

As a Data Engineer on the SCC team, you will have ownership over the data modeling and pipelines that power SCC’s Associate and AI Agent Platform . Your efforts will be critical to the reliability of our pipelines, execution of third party data integrations, accurate reporting of agents performance, and efficiency improvements that can save millions of dollars / year. You will work cross-functionally to bridge Lyft's business goals with data engineering. Your efforts will allow access to business and user behavior insights, using huge amounts of Lyft data to fuel several teams such as Analytics, Data Science, Engineering, and many others. 

Responsibilities:

• Owner of the core data pipeline, responsible for scaling up data processing flow to meet the rapid data growth at Lyft
• Evolve data model and data schema based on business and engineering needs
• Implement systems tracking data quality and consistency
• Develop tools supporting self-service data pipeline management (ETL)
• SQL and MapReduce job tuning to improve data processing performance
• Write well-crafted, well-tested, readable, maintainable code
• Participate in code reviews to ensure code quality and distribute knowledge
• Collaborate cross-functionally with product, engineering, data science, and marketing teams to understand business problems and align on prioritization and solutions

Experience:

• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field
• 4+ years of professional experience in data engineering, ideally with large-scale distributed systems.
• Strong skills in Spark, Python (or similar scripting language), and SQL performance tuning
• Experience with AWS, Hadoop/S3, Hive, Presto, Airflow, and related tools
• Solid understanding of ETL processes, workflow orchestration, and data warehousing
• A collaborative mindset—you’re comfortable working across teams to solve real-world problems

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.

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 Safety and Customer Care (SCC) team at Lyft manages over 1.7 million monthly human and AI interactions and serves as Lyft's primary direct touchpoint with riders and drivers. We handle critical infrastructure that powers both human associates and AI agents to make riders and drivers feel safe and comfortable while riding or driving with Lyft, transforming every support interaction into a moment of genuine connection. 

As a Data Engineer on the SCC team, you will have ownership over the data modeling and pipelines that power SCC’s Associate and AI Agent Platform . Your efforts will be critical to the reliability of our pipelines, execution of third party data integrations, accurate reporting of agents performance, and efficiency improvements that can save millions of dollars / year. You will work cross-functionally to bridge Lyft's business goals with data engineering. Your efforts will allow access to business and user behavior insights, using huge amounts of Lyft data to fuel several teams such as Analytics, Data Science, Engineering, and many others. 

Responsibilities:

• Owner of the core data pipeline, responsible for scaling up data processing flow to meet the rapid data growth at Lyft
• Evolve data model and data schema based on business and engineering needs
• Implement systems tracking data quality and consistency
• Develop tools supporting self-service data pipeline management (ETL)
• SQL and MapReduce job tuning to improve data processing performance
• Write well-crafted, well-tested, readable, maintainable code
• Participate in code reviews to ensure code quality and distribute knowledge
• Collaborate cross-functionally with product, engineering, data science, and marketing teams to understand business problems and align on prioritization and solutions

Experience:

• 4+ years of professional experience in data engineering, ideally with large-scale distributed systems.
• Strong experience with Spark
• Experience with Hadoop (or similar) Ecosystem, S3, DynamoDB, MapReduce, Yarn, HDFS, Hive, Spark, Presto, Pig, HBase, Parquet
• Strong skills in a scripting language (Python, Go)
• Good understanding of SQL Engine and able to conduct advanced performance tuning
• Proficient in at least one of the SQL languages (MySQL, PostgreSQL, SqlServer, Oracle)
• 1+ years of experience with workflow management tools (Airflow, Oozie, Azkaban, UC4)
• Comfortable working directly with data analytics to bridge Lyft’s business goals with data engineering
• Preferred to have experience of building and maintaining customer care related data tables as a Data Engineer for large organizations

Benefits:

• Professional and stable working environment.
• The latest technology and equipment you need.
• Potential to work remotely, including out of country (dependent on work authorizations).
• 28 calendar days for vacation and up to 5 paid sick days.
• 18 weeks of paid parental leave. Biological, adoptive and foster parents are all eligible.
• Mental health benefits.
• Family building benefits.

This role is fully remote in Ukraine, however, employees are required to live and work in Ukraine in order to be qualified for this position. #Remote

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.

ML & Data Science is at the heart of Lyft's products and decision-making. ML and Data Science professionals at Lyft operate in dynamic environments, moving quickly to build the world's best transportation solutions. We tackle a wide range of challenges—from shaping long-term business strategy with data, to making critical short-term decisions, to developing algorithms and models that power both internal systems and customer-facing products.

Lyft Ads is Lyft's advertising platform, connecting brands with high-intent audiences across the rideshare journey. Our offerings span in-app ad formats, in-car tablet experiences, bikeshare and station sponsorships, and programmatic integrations—enabling advertisers to reach riders at key moments of engagement. These products power high-impact use cases across brand awareness, performance marketing, audience targeting, and measurement for enterprise advertisers.

We are seeking an Algorithms Science Manager to lead a team of Data Scientists, Applied Scientists, and Machine Learning Engineers building the algorithmic backbone of Lyft Media. In this role, you will shape the vision, define the roadmap, and drive execution for projects that improve ad relevance, optimize yield, enhance targeting and measurement, and deliver measurable value to our advertising partners. You'll collaborate closely with Product, Engineering, Design, and Sales teams to build models, experimentation frameworks, and production ML systems that inform strategy and power product innovation.

This is a high-visibility, high-impact role with direct influence on Lyft's advertising platform and revenue growth. The ideal candidate will bring deep expertise in algorithm development, machine learning, causal inference, and experimentation; strong business acumen in ads or marketplace contexts; and a proven track record of leading multi-disciplinary technical teams in fast-paced, cross-functional environments.

Responsibilities:

• Lead, mentor, and grow a high-performing, multi-disciplinary team spanning Applied Science. Data Science, and Machine Learning Engineering for Lyft Media.
• Define and execute the technical vision and roadmap for the team, ensuring alignment with overall business strategy and revenue goals across research, modeling, and production ML.
• Design, develop, and deploy algorithms and ML systems that power core advertising capabilities—including ad targeting, audience segmentation, bid optimization, attribution, and yield management.
• Partner with Product, Engineering, and Design to integrate solutions into scalable, production-grade ad serving and measurement systems.
• Establish robust experimentation and causal inference frameworks to measure the impact of algorithmic changes on advertiser outcomes, rider experience, and platform revenue.
• Bridge the gap between research and production—ensuring that applied science innovations translate into reliable, maintainable ML systems at scale.
• Conduct deep analyses of complex, large-scale datasets to uncover opportunities for revenue growth, advertiser performance improvement, and enhanced user experience.
• Champion data-driven decision-making, ensuring that product and go-to-market decisions are informed by rigorous quantitative analysis.
• Drive innovation by staying current with emerging research, technologies, and industry best practices in computational advertising, optimization, and applied machine learning.

Experience:

• PhD (preferred) or Master's degree in a quantitative field such as Machine Learning, Computer Science, Statistics, Engineering, or a related discipline; or equivalent practical experience.
• 8+ years of progressive experience in machine learning, optimization, or causal inference, including building and deploying algorithms in production systems.
• 3+ years of people management experience leading multi-disciplinary technical teams (data science, applied science, and/or ML engineering), with a proven ability to mentor, develop, and retain top talent.
• Demonstrated ability to set a strategic vision for a technical team and translate it into impactful, scalable solutions that drive measurable business outcomes.
• Deep expertise in machine learning, experimental design, causal inference, and statistical methodologies, with a track record of applying them to high-stakes product or marketplace decisions.
• Strong understanding of ML engineering best practices—model training infrastructure, feature pipelines, model serving, and monitoring in production environments.
• Experience in advertising technology, media measurement, or marketplace optimization is strongly preferred.
• Experience navigating complex, ambiguous problem spaces and guiding teams through prioritization, tradeoffs, and execution.
• Strong communication and influence skills, with the ability to engage both technical and executive stakeholders, align priorities, and build consensus.
• Hands-on proficiency with large-scale data processing tools and machine learning frameworks (e.g., PyTorch, TensorFlow, scikit-learn).

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 $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.

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.

ML & Data Science is at the heart of Lyft's products and decision-making. ML and Data Science professionals at Lyft operate in dynamic environments, moving quickly to build the world's best transportation solutions. We tackle a wide range of challenges—from shaping long-term business strategy with data, to making critical short-term decisions, to developing algorithms and models that power both internal systems and customer-facing products.

Lyft Ads is Lyft's advertising platform, connecting brands with high-intent audiences across the rideshare journey. Our offerings span in-app ad formats, in-car tablet experiences, bikeshare and station sponsorships, and programmatic integrations—enabling advertisers to reach riders at key moments of engagement. These products power high-impact use cases across brand awareness, performance marketing, audience targeting, and measurement for enterprise advertisers.

We are seeking an Algorithms Science Manager to lead a team of Data Scientists, Applied Scientists, and Machine Learning Engineers building the algorithmic backbone of Lyft Media. In this role, you will shape the vision, define the roadmap, and drive execution for projects that improve ad relevance, optimize yield, enhance targeting and measurement, and deliver measurable value to our advertising partners. You'll collaborate closely with Product, Engineering, Design, and Sales teams to build models, experimentation frameworks, and production ML systems that inform strategy and power product innovation.

This is a high-visibility, high-impact role with direct influence on Lyft's advertising platform and revenue growth. The ideal candidate will bring deep expertise in algorithm development, machine learning, causal inference, and experimentation; strong business acumen in ads or marketplace contexts; and a proven track record of leading multi-disciplinary technical teams in fast-paced, cross-functional environments.

Responsibilities:

• Lead, mentor, and grow a high-performing, multi-disciplinary team spanning Applied Science. Data Science, and Machine Learning Engineering for Lyft Media.
• Define and execute the technical vision and roadmap for the team, ensuring alignment with overall business strategy and revenue goals across research, modeling, and production ML.
• Design, develop, and deploy algorithms and ML systems that power core advertising capabilities—including ad targeting, audience segmentation, bid optimization, attribution, and yield management.
• Partner with Product, Engineering, and Design to integrate solutions into scalable, production-grade ad serving and measurement systems.
• Establish robust experimentation and causal inference frameworks to measure the impact of algorithmic changes on advertiser outcomes, rider experience, and platform revenue.
• Bridge the gap between research and production—ensuring that applied science innovations translate into reliable, maintainable ML systems at scale.
• Conduct deep analyses of complex, large-scale datasets to uncover opportunities for revenue growth, advertiser performance improvement, and enhanced user experience.
• Champion data-driven decision-making, ensuring that product and go-to-market decisions are informed by rigorous quantitative analysis.
• Drive innovation by staying current with emerging research, technologies, and industry best practices in computational advertising, optimization, and applied machine learning.

Experience:

• PhD (preferred) or Master's degree in a quantitative field such as Machine Learning, Computer Science, Statistics, Engineering, or a related discipline; or equivalent practical experience.
• 8+ years of progressive experience in machine learning, optimization, or causal inference, including building and deploying algorithms in production systems.
• 3+ years of people management experience leading multi-disciplinary technical teams (data science, applied science, and/or ML engineering), with a proven ability to mentor, develop, and retain top talent.
• Demonstrated ability to set a strategic vision for a technical team and translate it into impactful, scalable solutions that drive measurable business outcomes.
• Deep expertise in machine learning, experimental design, causal inference, and statistical methodologies, with a track record of applying them to high-stakes product or marketplace decisions.
• Strong understanding of ML engineering best practices—model training infrastructure, feature pipelines, model serving, and monitoring in production environments.
• Experience in advertising technology, media measurement, or marketplace optimization is strongly preferred.
• Experience navigating complex, ambiguous problem spaces and guiding teams through prioritization, tradeoffs, and execution.
• Strong communication and influence skills, with the ability to engage both technical and executive stakeholders, align priorities, and build consensus.
• Hands-on proficiency with large-scale data processing tools and machine learning frameworks (e.g., PyTorch, TensorFlow, scikit-learn).

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 $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.

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.

Our transport network serves the needs of millions of people every day who want to get from one place to another using Lyft cars, bikes and scooters, with public transportation, or on foot in the most efficient way. To serve these needs, we need to suggest the fastest, most affordable and safest routes. We achieve this by processing millions of rides, taking into account the latest traffic information and analyzing the preferences of drivers.

To strengthen our efforts, we are hiring a Data Science Manager who will lead data scientists and data analysts helping us to make data driven decisions. Data Science & Analytics is at the heart of Lyft’s products and decision-making. You will leverage data and rigorous, analytical thinking to shape our mapping products and make business decisions that put our customers first. This will involve identifying and scoping opportunities, shaping priorities, recommending technical solutions, designing experiments, measuring the impact of new features and monitoring our solutions in close collaboration with many engineering teams. You will help us solve some of the most impactful problems in mapping, including:

• How do we provide the best routes and most accurate ETAs?
• How is the routing experience for our drivers? Are we providing the fastest, most economic and most comfortable routes to our customers?
• How do we benchmark and measure the success of map services?

Our technology stack is based on the latest technologies such as AWS, Kubernetes and Apache Airflow. You will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on projects that directly impact millions of riders and drivers.

Responsibilities

• Lead and grow a high-performing team of data scientists with diverse backgrounds, including optimization, experimentation, machine learning and causal inference  
• Define and drive the data science vision, strategy, and roadmap, aligning with overall business and product objectives to improve market competitiveness and user experience 
• Provide strong technical guidance and coaching to the team on complex data science problems related to real-time decision-making and resource allocation
• Champion data-driven decision-making and prioritization by partnering with product managers, engineers, marketers, and leaders to translate data insights into decisions and action
• Lead deep-dive analyses into large-scale datasets to identify opportunities for improving navigation efficiency, mapping accuracy, and overall product health
• Ensure robust experimentation and causal inference methodologies are applied to measure the impact of new features and strategies
• Mentor and guide the professional and technical development of your team members. Help develop their careers, and assign them to projects tailored to their skill levels, personalities, work styles, and professional goals
• Maintain a balance between building sustainable, high-impact projects and shipping things quickly
• Work closely with the Lyft recruiting team to hire high potential candidates from diverse backgrounds

Experiences

• Advanced degree (MS or PhD, PhD preferred) in a quantitative field like Operations Research, Computer Science, Statistics, Engineering, or a related area; or equivalent work experience
• 5+ years of hands-on technical experience in experimentation, causal inference, or data science, preferably with applications in real-time systems or marketplace dynamics
• 2+ years of management experience building, leading, and mentoring data science teams
• Strong expertise in statistics, experimental design, and causal inference, including A/B testing, multivariate testing, and incremental lift measurement
• Strong data storytelling and influence skills, with experience presenting insights and recommendations to senior leaders
• Experience launching and monitoring consumer facing products and iterating through data-driven experimentation and metrics analysis
• Experience guiding teams through ambiguous and complex technical challenges to deliver impactful solutions
• Hands-on experience building or operationalizing machine learning models (e.g., propensity, segmentation, churn, personalization) in partnership with engineering or platform teams (nice to have)
• Excellent communication and collaboration skills, with the ability to articulate complex technical concepts to diverse audiences
• Hands-on experience with large-scale data processing (e.g., Spark, SQL) and machine learning frameworks is highly desirable
• Prior experience in mapping domain will be a plus

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 $176,000 - $220,000 not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

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.

Data Science is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft operate in dynamic environments, moving quickly to build the world’s best transportation solutions. We tackle a wide range of challenges—from shaping long-term business strategy with data, to making critical short-term decisions, to developing algorithms and models that power both internal systems and customer-facing products.

We are seeking a Data Science Manager to translate data into the actionable insights and algorithms that improves Rider App experiences our rider loves. In this role, you’ll shape the vision and drive execution across conversion, personalization, and platform health, ensuring we build durable relationships with every rider. By partnering with cross-functional leaders in Pricing, Loyalty, and ML teams, you will evolve our platform for both existing riders and expanding to serve new segments (e.g., Lyft Silver, Teens).

This is a high-visibility, high-impact role with direct influence on Lyft’s ride experience across millions of riders and rides everyday. The ideal candidate will bring deep expertise in advanced analytics, machine learning, causal inference, experimentation; strong business acumen in two-sided marketplace contexts; and a proven track record of leading product data science teams in fast-paced, cross-functional environments.

Responsibilities: 

• Lead, mentor and grow a high-performing team of Data Scientists and Analytics, focusing on improving end-to-end Rider App experience (booking → waiting → pickup → in-ride → post-ride) with algorithm development, machine learning, experimentation and advanced analytics. 
• Partner with Product Managers and Engineering leads to define the vision and roadmap for the Rider App experience (e.g., personalized UI, merchandising strategy), ensuring alignment with overall business strategy.
• Lead and execute the data science vision and roadmap for initiatives across Rider App Experience. Raise the bar on scientific rigor.
• Establish robust experimentation and causal inference frameworks to measure the business impact of new features in a two-sided marketplace.
• Conduct deep analyses of complex, large-scale datasets to uncover opportunities for growth, operational efficiency, and improved rider experience.
• Translate technical findings into actionable business insights for executive leadership.
• Champion data-driven decision-making, ensuring that product and strategy decisions are informed by rigorous quantitative analysis.
• Drive innovation by staying current with emerging research, technologies, and industry best practices in AI powered data science workflow.

Experience: 

• Master’s or PhD in a quantitative field (Statistics, Applied Math, Economics, Computer Science, Operations Research) or equivalent practical experience.
• 5+ years of progressive experience in data science, machine learning, optimization, or causal inference, including building complex science framework to guide critical business decisions 
• 2+ years of people management experience leading high-performing technical teams, with a proven ability to mentor, develop, and retain top talent.
• Demonstrated ability to set a strategic vision for data science and translate it into impactful, scalable solutions that drive measurable business outcomes.
• Deep expertise in experimental design, causal inference, machine learning, and statistical methodologies, with a track record of applying them to high-stakes product or marketplace decisions.
• Experience navigating complex, ambiguous problem spaces and guiding teams through prioritization, tradeoffs, and execution.
• Strong communication and influence skills, with the ability to engage both technical and executive stakeholders, align priorities, and build consensus.
• Hands-on proficiency with SQL, Python, large-scale data processing tools and machine learning frameworks
• Preferred Qualifications
  • Experience with consumer mobile apps, marketplaces, or two-sided platforms.
  • Familiarity with personalization, content recommendation, uplift modeling, or lifecycle management.

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 Canada area is CAD $172,000 - CAD 215,000, 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.

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’s Data Science Team builds mathematical models underpinning the platform’s core services. Compared to other technology companies of a similar size, the set of problems that we tackle is incredibly diverse. They cut across optimization, prediction, modeling, inference, transportation, and mapping. We are hiring motivated experts in each of these fields. We're looking for someone who is passionate about solving mathematical problems with data, and are excited about working in a fast-paced, innovative and collegial environment.

You will report into a Science Manager.

Responsibilities:

• Partner with Engineers, Product Managers, and Business Partners to frame problems, both mathematically and within the business context.
• Perform exploratory data analysis to gain a deeper understanding of the problem
• Construct and fit statistical, machine learning, or optimization models
• Write production modeling code; collaborate with Software Engineers to implement algorithms in production
• Design and run both simulated and live traffic experiments
• Analyze experimental and observational data; communicate findings; facilitate launch decisions

Experience:

• Ph.D. in Statistics, Operations Research, Mathematics, Computer Science, or other quantitative fields
• 2+ years professional experience in a technology companies
• Passion for solving unstructured and non-standard mathematical problems
• End-to-end experience with data, including querying, aggregation, analysis, and visualization
• Proficiency with Python, or another interpreted programming language like R or Matlab
• Willingness to collaborate and communicate with others to solve a problem

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.

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 Marketplace team at Lyft is responsible for accelerating the growth of the business and for delivering our top business/company goals related to marketplace and business performance.

Within Marketplace, the Decisions & Insights team identifies and develops an understanding of our marketplace’s most critical problems & opportunities and creates business & product strategies to address them.  We’re looking for an Analytics Lead to drive deep dive business & product analyses and communicate key trends in our data to senior leadership.

The ideal candidate has strong analytical problem solving skills, effective communication skills, and proactively takes ownership of their workstreams.

Responsibilities:

• Develop hypotheses and analytical frameworks for understanding market dynamics and provide recommendations to senior leadership.
• Influence business strategy and product roadmaps through insightful analytics and business modeling. Be an analytical thought leader.
• Analyze marketplace product & marketplace trends and provide cross-functional teams with actionable insights on improvements and problem areas.
• Evaluating areas of improvement and business growth opportunities within our business.
• Work in a fast-paced environment and effectively manage time to deliver business impact in a time-efficient manner
• Become an expert in marketplace trends and support weekly reporting for the senior leadership.

Experience:

• 4+ years experience in management consulting, strategic data science/analytics roles in a technology company, or an equivalent analytical role in a high growth startup
• Experience in leading high visibility projects and influencing others in a cross-functional team environment
• Experience in communicating with and presenting to senior leaders and data storytelling
• Strong ability in building decision making frameworks and data analysis, able to understand business issues, analyze large amounts of data, and draw actionable conclusions
• Entrepreneurial self-starter - you naturally take ownership, look for opportunities, and do whatever it takes to drive results
• Skills:
  • Ability to independently break down large datasets and synthesize inputs from multiple sources
  • Ability to think strategically about complex and unstructured business problems, leading to recommendations and action plans
  • Ability to craft a compelling story and concisely present recommendations across teams and levels including both technical and non-technical audiences
  • Ability to manage, influence, negotiate, and inspire others in a fast-moving environment
  • Ability to use data visualization tools to provide actionable insights and reusable frameworks
  • Strong written and verbal communication skills for internal stakeholders, including senior leadership
  • Strong product and user experience sense
  • Excellent organization, planning skills, and attention to detail
  • Advanced analytical and problem solving skills
  • Proficiency in SQL

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 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
• Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program

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 $118,000 - $147,500 not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

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 is seeking a sharp, energetic, and self-motivated attorney to join the Product & Commercial Legal Team to focus on commercial contracts related to autonomous vehicles and consumer-focused partnerships.  You’ll partner with our Autonomous Vehicles and Partnerships Teams to review, draft, and negotiate complex transactions in support of major new product and business initiatives. You will be required to deliver results by managing a high volume of commercial contracts while also working hand-in-hand with Legal colleagues to provide long term legal guidance. 

The legal issues you’ll encounter are cutting edge, revolutionary and always evolving, so it will be up to you to advise with a creative and pragmatic approach. The successful candidate will be skilled at building strong relationships, working in the unknown while balancing legal risks, and comfortable working in a fast-paced and dynamic environment.

Responsibilities:

• Draft, review, and negotiate a high volume of complex, product-focused commercial contracts in support of Lyft’s Autonomous Vehicles and Partnerships Teams 
• Provide strategic legal and business advice to bring a long-term, product and customer-focused perspective to contract discussions
• Provide ongoing guidance to cross functional teams regarding contractual requirements, including implications for product implementation and strategy  
• Understand and advance Lyft’s priorities by connecting issues across business leaders and subject matter experts to develop and drive comprehensive, long-term legal strategies that balance risk and business objectives
• Prioritize workload to set goals and meet deadlines in a fluctuating and sometimes ambiguous business environment
• Collaborate with legal team members to improve processes, calibrate an approach to legal risk, and ensure business demands are satisfied
• Assist other teams with projects on an as-needed basis

 Experience:

• Experience working on a diverse range of complex commercial contracts
• Experience leading high stakes commercial negotiations with sophisticated and demanding counterparties
• Ability to draft bespoke new commercial agreements and contract templates and provide related product legal advice 
• 5+ years of experience working in a law firm and in-house legal department
• J.D. from a top-tier law school and active membership in at least one U.S. state bar
• Ability to approach unfamiliar questions and topics with energy and curiosity
• Excellent problem-solving capabilities, independent judgment, communication (written and verbal), interpersonal skills, and ability to provide firm but well-reasoned advice. 
• Ability to think quickly on your feet, convey grace under pressure, and simultaneously manage workloads, multiple client demands and shifting priorities.

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

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.

As a Data Scientist on the Mapping team, you will collaborate with our world class team of engineers, product managers, and designers to grow and improve the quality of recommended routes and accuracy of our travel time estimations. We're looking for a passionate, driven Data Scientist who is excited to dive into our spatial data and build a best-in-class mapping product that provides safe, efficient, and seamless navigation for our rideshare drivers.

Data Science is at the heart of Lyft’s products and decision-making. You will leverage data and rigorous, analytical thinking to shape our mapping products and make business decisions that put our customers first. This will involve identifying and scoping opportunities, shaping priorities, recommending technical solutions, designing experiments, and measuring the impact of new features. You will help us solve some of the most impactful problems in mapping, including:

• How do we improve the quality of our map data in order to improve our recommendations?
• How do we benchmark and measure the success of our services?
• How do we validate features of the real world that affect our routing algorithms?
• Are we meeting our travel estimation promises to our customers?

Responsibilities

• Leverage data and analytic frameworks to identify opportunities for growth and efficiency
• Partner with product managers, engineers, and operators to translate analytical insights into decisions and action, and implement products to drive business goals
• Define and implement decision frameworks, measurement strategies, and scientific methodologies that bring consistency and rigor to business decisions and forecasts, balancing opportunity and uncertainty
• Deliver integrated, high-quality analytical outputs spanning multiple projects while navigating ambiguity, cross-team dependencies, and open-ended scope
• Design and analyze online experiments; communicate results and act on launch decisions
• Establish metrics that measure the health of our products, as well as rider and driver experience
• Identify and drive impact and alignment, shaping product and business strategy through data-centric presentations 
• Contribute to the Science community (hiring, onboarding, documentation, knowledge-sharing, tooling improvements), helping make Decision Science at Lyft more effective and scalable

Experiences

• Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience
• 3+ years experience in a data science role or analytics role
• Demonstrated ability to own multi-project analytical scopes with ambiguous problem definitions and cross-functional integration
• End-to-end experience with data, including querying, aggregation, analysis, and visualization
• Proficiency in SQL - able to write structured and efficient queries on large data sets
• Experience in programming, especially with data science and visualization libraries in Python or R, and machine learning libraries such as PyTorch, TensorFlow, Keras
• Experience in online experimentation and statistical analysis, and communicating results and recommendations to senior stakeholders
• Strong communication, critical thinking, and prioritization skills, including the ability to challenge assumptions, propose alternatives, and balance short-term vs. long-term tradeoffs
• Experience in applying machine learning techniques is a plus (e.g. reinforcement learning) to solve customer problems (e.g. personalization, segmentation)
• Expertise in metric design, causal analysis, behavioral analytics, decision frameworks and measurement strategy is a plus
• Experience working with ETL pipelines a plus

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 $108,000 - $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.

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.

Data Science is central to Lyft's products and decision-making. As a Data Scientist on the cross-functional team, you will work in a dynamic environment, tackling a variety of problems from shaping critical business decisions to building algorithms that power our products. We seek passionate, driven Data Scientists to address some of the most interesting and impactful problems in ridesharing.

As a Data Scientist specializing in Algorithms, you will develop mathematical models for the platform's core services, addressing diverse problems in optimization, prediction, machine learning, and inference. On the Fulfillment team, you will collaborate with cross-functional teammates and stakeholders to enhance algorithms for matching rideshare supply and demand in real time and develop product offerings to improve the experiences of Lyft Riders and Drivers.

Responsibilities:

• Leverage data and analytic frameworks to direct creations and improvements of algorithms and models underpinning the team’s systems and products
• Partner with Engineers, Product Managers, and Business Partners to frame problems, both mathematically and within the business context.
• Perform exploratory data analysis to gain a deeper understanding of the problem
• Construct and fit statistical, machine learning, or optimization models
• Write production modeling code; collaborate with Software Engineers to implement algorithms in production
• Design and implement both simulated and live traffic experiments
• Analyze experimental and observational data; communicate findings; facilitate launch decisions
• Develop measurement methodologies to monitor the health of our products, as well as the impacts on user outcomes and marketplace outcomes
• Drive collaboration and coordination with cross-functional teams

Experience:

• M.S. or Ph.D. in Machine Learning, Statistics, Operations Research, Computer Science, Mathematics, or other quantitative fields
• 2+ years professional experience in a technology company setting
• Proven experience with building and evaluating machine learning models
• Proficiency with Python and working in a production coding environment
• Passion for solving unstructured and non-standard mathematical problems
• End-to-end experience with data, including querying, aggregation, analysis, and visualization
• Strong oral and written communication skills, and ability to collaborate and communicate 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 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
• Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program

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 $128,000 -$160,000. 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.

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 is seeking a sharp, energetic, and self-motivated attorney to join the Product & Commercial Legal Team to focus on commercial contracts related to autonomous vehicles and consumer-focused partnerships.  You’ll partner with our Autonomous Vehicles and Partnerships Teams to review, draft, and negotiate complex transactions in support of major new product and business initiatives. You will be required to deliver results by managing a high volume of commercial contracts while also working hand-in-hand with Legal colleagues to provide long term legal guidance. 

The legal issues you’ll encounter are cutting edge, revolutionary and always evolving, so it will be up to you to advise with a creative and pragmatic approach. The successful candidate will be skilled at building strong relationships, working in the unknown while balancing legal risks, and comfortable working in a fast-paced and dynamic environment.

Responsibilities:

• Draft, review, and negotiate a high volume of complex, product-focused commercial contracts in support of Lyft’s Autonomous Vehicles and Partnerships Teams 
• Provide strategic legal and business advice to bring a long-term, product and customer-focused perspective to contract discussions
• Provide ongoing guidance to cross functional teams regarding contractual requirements, including implications for product implementation and strategy  
• Understand and advance Lyft’s priorities by connecting issues across business leaders and subject matter experts to develop and drive comprehensive, long-term legal strategies that balance risk and business objectives
• Prioritize workload to set goals and meet deadlines in a fluctuating and sometimes ambiguous business environment
• Collaborate with legal team members to improve processes, calibrate an approach to legal risk, and ensure business demands are satisfied
• Assist other teams with projects on an as-needed basis

 Experience:

• Experience working on a diverse range of complex commercial contracts
• Experience leading high stakes commercial negotiations with sophisticated and demanding counterparties
• Ability to draft bespoke new commercial agreements and contract templates and provide related product legal advice 
• 5+ years of experience working in a law firm and in-house legal department
• J.D. from a top-tier law school and active membership in at least one U.S. state bar
• Ability to approach unfamiliar questions and topics with energy and curiosity
• Excellent problem-solving capabilities, independent judgment, communication (written and verbal), interpersonal skills, and ability to provide firm but well-reasoned advice. 
• Ability to think quickly on your feet, convey grace under pressure, and simultaneously manage workloads, multiple client demands and shifting priorities.

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

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.

Data Science is at the heart of Lyft’s products and decision-making. You will leverage data and rigorous, analytical thinking to shape our products and make business decisions. This will involve identifying and scoping opportunities, recommending and implementing technical solutions, designing experiments, shaping team priorities, and measuring the impact of new features.

The Verticals team encompasses 3 critical and unique products / marketplaces within Lyft: airports, scheduled rides, and events. Airports are one of the most important, impactful, and complex parts of Lyft’s Rideshare business, as they are a key part of both the rider and driver Lyft experiences and have unique considerations and dynamics. Scheduled rides allow riders to book a ride in advance with high reliability, and enable drivers to add structure to their work schedule. Lastly, events such as concerts or sporting games require similar considerations of special operations to ensure a seamless experience for both riders and drivers. 

As a Data Scientist on the Verticals team, you will collaborate with engineering, product, design, and operations to think critically about the current rider and driver experience and implement product enhancements to facilitate market growth. The ideal candidate can apply strong business acumen to propose product changes, develop end-to-end technical solutions, and is comfortable working with a highly cross functional team. In this role, you will help us tackle problems such as:

• How can we efficiently match riders and drivers together in these unique marketplaces, to minimize ETAs and improve the driver experience? 
• Are we able to forecast ride demand and implement driver guidance to ensure riders can rely on Lyft for an event ride?
• What is the most helpful way to display ride information to drivers so they can make informed decisions?
• What rider segments should we target with ride incentives to grow our marketshare for these verticals? 

Responsibilities:

• Construct and fit statistical or optimization models to make production decisions such as changes to how we match riders and drivers; focusing on model proposal and offline model development 
• Leverage data and analytic frameworks to identify opportunities for growth and efficiency, recommending technical solutions to drive business impact 
• Design and analyze online experiments, including communicating results, acting on launch decisions, and recommending next steps based on learnings
• Partner with product managers, engineers, marketers, designers, and operators to translate data insights into decisions and action
• Develop analytical frameworks to monitor business and product performance, leveraging experiments and causal inference
• Establish metrics that measure the health of our products, the business, as well as the driver experience

Experience 

• Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience
• 3+ years of industry experience in a data science, analytics, or management consulting role
• Proficiency in SQL and Python
• Ability to perform technical experiments, including user split, time split, and region split
• End-to-end experience with data, including querying, aggregation, analysis, and visualization
• Ability to manage, influence, negotiate, and inspire others in a fast-moving environment
• Strong oral and written communication skills, and ability to collaborate with 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.

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 Safety & Customer Care (SCC) organization manages over 1.7 million monthly customer interactions and is responsible for ensuring the trust and safety of our riders and drivers. We work every day to build a trusted community, foster safe interactions, manage risky situations, and deliver best-in-class support. As part of this team, you will play a critical role in making transportation safer for all.

We are looking for an experienced and highly motivated Data Scientist to join the Community Safety Data team and lead key initiatives that enhance the safety of Lyft’s community. You’ll work cross-functionally with product management, engineering, design, legal, research, and operations teams to build impactful safety features, models, and systems. This high-impact role requires deep customer empathy, insatiable curiosity to uncover platform risks; and competencies to explore large datasets, develop statistical models, and design data-driven strategies for products that provide safe and engaging experiences for customers.

You’ll report to the Director of Data Science for the SCC org.

Responsibilities:

• Leverage data and analytical frameworks to identify opportunities for improving community trust and safety
• Partner with product managers, engineers, designers, marketers, and operators to translate insights into scalable, safety-forward decisions
• Design and analyze online experiments; interpret and communicate results to influence product launch decisions
• Build and monitor key metrics that reflect rider and driver safety, product health, and policy compliance
• Develop rigorous measurement strategies to evaluate the effectiveness of safety features, interventions, and detection systems
• Drive proactive risk identification and continuous improvement through analysis, experimentation, and iteration
• Mentored junior data scientists by providing guidance, feedback, and support to accelerate their technical and soft skill growth and impact.

Experience:

• Degree in a quantitative field such as Statistics, Economics, Applied Mathematics, Operations Research, or Engineering (advanced degrees preferred), or equivalent professional experience
• 3+ years of industry experience in data science or product analytics roles
• Proficiency in SQL with ability to write efficient queries on large, complex datasets
• Experience programming in Python or R, especially for data analysis, visualization, and modeling
• Strong foundation in statistical analysis and experimentation, including A/B testing design and/or Causal Inference techniques
• Excellent written and verbal communication skills with ability to influence cross-functional partners and executives, and translate data into compelling stories
• Self-starter with a curious mindset and a strong sense of ownership
• Ability to combine business intuition with the application of advanced solutions
• A passion for keeping up with the latest ongoings in Data Science and Machine Learning communities, and an obsession for data quality
• Prior experience in Trust & Safety, or Platform Integrity domains is a plus

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 $108000-$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.

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 Lyft Urban Solution team is developing the future of micromobility and is looking for a Data Scientist to inform and drive decision-making that charts the way. From New York’s Citi Bike to San Francisco’s Bay Wheels, our micromobility systems depend on smart data-informed decisions to operate efficiently and at scale. Analyses, insights, and algorithms guide both planning and operations, and we’re looking for passionate, driven Data Scientists to take on some of the most interesting and impactful problems in micromobility. 

The set of problems tackled by the Lyft Urban Solutions Operations Technology Team is incredibly diverse. They cut across optimization, prediction, simulation, inference, transportation, analytics and mapping. We collaborate with and inform a wide range of stakeholders, from executives to hardware specialists to local market operations teams. We're looking for someone who is passionate about solving mathematical problems with data, and is excited about working in a fast-paced, innovative and collegial environment.

Responsibilities:

• Partner with Engineers, Product Managers, and Business Partners to frame problems, both mathematically and within the business context
• Perform exploratory data analysis to gain a deeper understanding of the problem
• Develop, calibrate, refine, and leverage numerical models (e.g., statistical, simulation)
• Collaborate with Software Engineers to, refine, monitor and troubleshoot algorithms in production
• Design and implement both simulated and live experiments
• Analyze experimental and observational data; communicate findings; guide feature launch and capital/operational spending decisions

Experience:

• M.S. or Ph.D. in Statistics, Operations Research, Mathematics, Computer Science, Engineering or other quantitative fields or related work experience
• 3+ years professional experience in a technology or transportation/logistics company settingPassion for solving unstructured and non-standard mathematical problems and experience building models (especially statistical and simulation - optimization is a bonus)
• End-to-end experience with data, including SQL querying, aggregation, analysis, and visualization
• Proficiency with Python, ideally including both exploratory analyses/visualizations and building models which inform ongoing decision making
• Ability to collaborate and communicate effectively with others to solve problems and align on decisions

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 $128,000 - $160,000, 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 Trust & Safety function at Lyft is dedicated to keeping every Lyft ride safe for both riders and drivers. We build and maintain the tools, features, and systems that deter bad actors, protect vulnerable populations, and reinforce trust across the platform. As an Android Engineer working on Trust & Safety, you'll work at the intersection of product, design, engineering, and policy to ship high-impact safety features to millions of users.

Responsibilities:

• Build and maintain Android features that directly protect riders and drivers.
• Partner closely with product managers, designers, data scientists, and backend engineers to translate safety concepts into polished, reliable user experiences.
• Critically evaluate proposed designs and product specs - identify logic gaps, edge cases, and potential abuse vectors before they reach production.
• Navigate tradeoffs thoughtfully in a fast-paced environment with many concurrent high-priority projects.
• Contribute to discussions around OKR planning and help find creative approaches to achieving team goals.
• Analyze internal systems and processes and identify opportunities for improvement and automation. 
• Share knowledge through brown bags, tech talks, and engineering best practices. 
• Participate in code, product, and design reviews to ensure quality and consistency.
• Keep up-to-date with Android, broader industry developments, and the latest AI tools to enhance productivity and engineering workflows. 

Experience:

• Experience shipping large-scale Android applications.
• Proficiency in Kotlin; Java experience is a plus but not required.
• Experience with architecture paradigms like unidirectional and reactive programming, and other patterns commonly used in the industry.
• Experience with Jetpack Compose, unit and snapshot testing, and creating shared components.
• Strong product sense - you care about usability, good design, and how features affect real people's safety.
• A critical and creative thinker who can spot flaws in proposed solutions and suggest better alternatives.
• Comfortable working in a highly cross-functional environment where regular collaboration with product and design partners is the norm, not the exception.
• Interest in growing into a technical leadership role over time, with the appetite and potential to take on greater scope and influence on the team.
• Bonus: experience pursuing side projects or open-source contributions.

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 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

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 $108,000-$135,000 CAD, 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.

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 is looking for a seasoned and strategic Director of Tax to join our Global Tax Team! As a Director of Tax, you will lead and shape the income tax planning function, driving enterprise-wide strategies to optimize our global tax position. You will serve as a key leader and advisor across cross-functional business teams — including product, engineering, legal, accounting, and broader finance — surfacing tax issues, solving complex problems, and delivering actionable solutions while owning critical responsibilities.

Responsibilities

• Define and lead comprehensive US international and global tax strategies aligned with business objectives, minimizing liabilities and optimizing cash flow — including advising on M&A, new market entry, and structuring of global investments
• Serve as the senior advisor on intercompany transactions, ensuring US and international compliance and tax efficiency in cross-border arrangements, including ownership of global transfer pricing policies and strategy
• Lead research and provide authoritative analysis on complex US international tax matters, including Pillar II, GILTI, FDII, BEAT, and inbound and outbound transactions
• Own the quarterly and annual income tax provision process as the senior subject matter expert for US international tax under ASC 740
• Oversee the quantification and management of tax reserves in compliance with ASC 450
• Build and manage relationships with third-party service providers, and serve as a strategic partner to Lyft's finance, accounting, product, engineering, HR, and legal teams to ensure all tax requirements are met
• Lead and mentor a team of tax professionals, fostering a culture of excellence, development, and collaboration
• Anticipate and adapt to shifting regulatory landscapes and business priorities; proactively identify and communicate tax risk and opportunity to senior leadership
• Monitor and assess tax law changes impacting Lyft's business, analyzing legislation, leading scenario modeling, and translating complex tax matters into clear guidance for executive stakeholders

Experience

• 12+ years of progressive corporate income tax experience, with a strong focus on tax planning for multinational corporations with operations in EMEA and APAC
• Demonstrated leadership experience managing tax professionals and cross-functional initiatives at scale
• Deep expertise in US international tax and transfer pricing principles and their application to technology businesses
• Proven track record developing tax forecasts and building sophisticated tax models to support strategic decision-making
• Strong technical knowledge of ASC 740 and ASC 450
• Established ability to cultivate executive-level relationships and communicate complex tax matters clearly to all levels of the organization
• Exceptional project management and organizational skills, with the ability to prioritize competing demands in a fast-paced, high-pressure environment
• Demonstrated ability to balance individual ownership and accountability with broad cross-functional collaboration
• Exceptional verbal and written communication skills, including the ability to translate complex tax topics for non-tax business partners
• Strong attention to detail with an unwavering commitment to accuracy and compliance
• Proficiency in Microsoft Excel and Google Suite; experience with accounting systems are a plus

Preferred Qualifications

• CPA, JD, or LLM in Taxation
• Combined Big 4 or law firm and technology industry experience
• Accounting system experience (Oracle or similar ERP)

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 $192,000 - $240,000. In addition to the base pay, this role is eligible for competitive equity awards, bonuses, and benefits. You can read more about Lyft’s employee benefits here. [https://www.lyft.com/careers/life-at-lyft]

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. 

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.

 We are looking for an Executive Business Partner to support our Director of Engineering. You will handle the calendar of the executive and coordinate events and meetings for the broader team. You enjoy working in an energetic environment and streamlining hectic days. You are incredibly organized, a true team-player, and able to build strong relationships. You make it happen and you’re not afraid to be yourself while uplifting those around you. 

Responsibilities:

• Complex calendar management and meeting coordination
• Be a team expert and go-to person for business related to your department and executive
• Help prepare presentation materials and briefs for team meetings 
• Project manage tasks to ensure completion of action items
• Keep relevant team members informed and refine communications throughout the company
• Assist with booking travel, including airline, hotel booking, and visas
• Partner with Office and IT teams to ensure teams have appropriate resources
• Budget and expense management 
• Plan team building events and keep a pulse on culture and team morale
• You will report to the Director of Engineering

Experience:

• 2 + years of relevant experience
• Excellent communication and collaboration skills
• Incredibly detail-oriented with a creative working style 
• Can take even the smallest project and run with it to successful completion
• Bring a growth mindset to the team
• Passion for Lyft and the ridesharing community

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 $88,000 - $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.

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.

We are looking for an Executive Business Partner to support a Director of Engineering, Mapping and Head of Trust & Pay within the Foundations & AI Transformation (Foundations) organization.  You will joining a team of 3 Executive Business Partners managing the calendars of 2-3 leaders.

Our organization coordinates meetings and events, collaborates across the business, and leads org wide initiatives. You will enjoy working in an energetic environment, managing multiple competing priorities, and streamlining hectic days.

Our ideal candidate is incredibly organized, a true team-player, and able to build strong relationships. You make it happen and you’re not afraid to be yourself while uplifting those around you.

Responsibilities:

• Proactively and strategically manage the executive’s complex calendar and meeting coordination, travel, and other administrative tasks;
• Work closely with fellow EBPs to ensure efficient, effective and consistent coverage across all Foundations Leaders
• Manage clear communication between stakeholders, identify gaps in visibility and propose solutions
• Independently and proactively provide solutions to issues and escalate if necessary
• Stay abreast of the leader’s priorities and major projects, serving as a resource for other stakeholders when needed
• Plan off-sites and team events
• Project-manage initiatives and work streams; keeping track of progress, identifying areas for efficiencies, and ensuring timely completion of projects
• Provide peer mentorship and coaching to other Executive Business Partners in the org
• Budget and expense management
• Partner with Office Operations and IT teams to ensure teams have appropriate resources and optimal set-up for in-person, remote, and hybrid meetings

Experience:

• 4+ years experience as an Executive Assistant for a C-level executive
• Ability to anticipate and proactively manage responsibilities and tasks
• Excellent communication and collaboration skills; demonstrated experience building strong partnerships and managing clear communications across stakeholders
• High EQ and ability to build solid relationships across all levels of the organization
• Incredibly detail-oriented with a creative working style
• Great project management chops
• “Roll up your sleeves” mentality; can take even the smallest project and run with it to successful completion
• Brings a growth mindset to the team
• Passion for Lyft!

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 $88,000 - $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.

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. 

At Lyft, our Financial Planning & Analysis (FP&A) team plays a vital role in driving the company’s mission to improve people’s lives with the world’s best transportation. We partner closely with business leaders to translate data into actionable insights that maximize ROI, strengthen profitability, and fuel sustainable growth. 

This Finance Analyst role will support our Rideshare business — the heart of Lyft’s operations — helping shape strategy, forecast performance, and guide critical decisions that impact millions of riders and drivers every day. We are seeking a highly analytical and detail-oriented professional with exceptional financial acumen and strategic thinking skills. Strong communication, prioritization, and teamwork are essential, along with a proactive, results-driven mindset.

This is a unique opportunity to play a hands-on role in the financial future of one of the most innovative, mission-driven companies in the tech and mobility space.

Responsibilities:

• Develop, maintain and enhance financial models to assess performance, growth opportunities, and operational efficiency.
• Run scenario analyses to evaluate trade-offs and guide decision-making.
• Support the development of 3–5 year strategic business plans that align with the company's overall vision and growth targets.
• Collaborate with teams across Operations and Product, to connect financial outcomes with business levers.
• Enhance forecasting accuracy and reporting efficiency through automation and scalable tools.
• Develop sustainable financial data management/sourcing practices to enable our team and business partners to move fast 
• Deliver clear, actionable insights through dashboards, reports, and executive presentations.
• Ensure accurate and transparent financial reporting through collaboration with Accounting and Data teams
• Support continuous improvement across FP&A systems and processes.

Experience:

• A Bachelor's degree in a quantitative field (e.g Economics, Computer Science, Mathematics, or Finance) with at least 2-3 years of experience in financial planning and analysis, preferably in a dynamic and challenging environment.
• Demonstrated ability to develop complex financial models, with excellent quantitative analysis and forecasting skills.
• Strong G-Sheet and Slide skills is a plus, excel / PPT is ok
• Ability to translate complex financial data into actionable insights that guide executive-level decision-making.
• Proven capability to work effectively in a fast-paced, team-oriented environment.
• Comfort in dealing with ambiguity and the ability to derive insights from incomplete information.
• A detail-oriented, highly organised self-starter with the ability to manage overlapping tasks and frequent priority changes.
• Strong communication and interpersonal skills, with the ability to influence cross-functional teams.
• Proficiency in SQL and ERP systems, such as Oracle Essbase or Anaplan, is preferred.

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 $90,000 - CAD $112,500. 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.

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

This job fills an existing vacancy.

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.

Data Science is central to Lyft's products and decision-making. As a Data Scientist on the cross-functional team, you will work in a dynamic environment, tackling a variety of problems from shaping critical business decisions to building algorithms that power our products. We seek passionate, driven Data Scientists to address some of the most interesting and impactful problems in ridesharing.

As a Data Scientist specializing in Algorithms, you will develop mathematical models for the platform's core services, addressing diverse problems in optimization, prediction, machine learning, and inference. On the Fulfillment team, you will collaborate with cross-functional teammates and stakeholders to enhance algorithms for matching rideshare supply and demand in real time and develop product offerings to improve the experiences of Lyft Riders and Drivers.

Responsibilities:

• Leverage data and analytic frameworks to direct creations and improvements of algorithms and models underpinning the team’s systems and products
• Partner with Engineers, Product Managers, and Business Partners to frame problems, both mathematically and within the business context.
• Perform exploratory data analysis to gain a deeper understanding of the problem
• Construct and fit statistical, machine learning, or optimization models
• Write production modeling code; collaborate with Software Engineers to implement algorithms in production
• Design and implement both simulated and live traffic experiments
• Analyze experimental and observational data; communicate findings; facilitate launch decisions
• Develop measurement methodologies to monitor the health of our products, as well as the impacts on user outcomes and marketplace outcomes
• Drive collaboration and coordination with cross-functional teams

Experience:

• M.S. or Ph.D. in Machine Learning, Statistics, Operations Research, Computer Science, Mathematics, or other quantitative fields
• 2+ years professional experience in a technology company setting
• Proven experience with building and evaluating machine learning models
• Proficiency with Python and working in a production coding environment
• Passion for solving unstructured and non-standard mathematical problems
• End-to-end experience with data, including querying, aggregation, analysis, and visualization
• Strong oral and written communication skills, and ability to collaborate and communicate 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 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
• Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program

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 Seattle area is $128,000 -$160,000. 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.

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 is hiring an experienced, talented and energetic Global Equity Program Manager to support Lyft’s global equity function. This role will support execution, rapid international expansion, management of increasing transaction volume, and building critical infrastructure for our global equity programs.  The successful candidate will play a key role in driving the long term strategy and rolling out world class equity programs developed for precision and ease of execution. You will partner cross functionally on the design and delivery of ongoing programs, including compliance, tax, mobility, and employee education. The successful candidate will be an entrepreneurial and resourceful self-starter, comfortable working in a fast-paced and dynamic environment and excellent at building strong relationships. You will report to the Director, Global Equity Programs in our Legal organization.

Responsibilities:

• Support administration ofLyft’s global equity programs including processing all awards, grants, exercises, cancellations and the issuance of all new grants in the US and in foreign jurisdictions, including managing RSUs, PSUs, ESPP, capital markets transactions and other equity programs.
• Continue to drive system automation on the Schwab Equiview platform across Workday and ADP.
• Develop and deliver world class employee education programs for new and continuing employees with a focus on mechanics and overall financial wellness.
• Support all aspects of SOX compliance and continuously work to build efficiencies around execution and documentation of key controls.
• Engage with senior leadership from the legal, finance, and people organizations to design future equity programs and policies and continue to tailor existing ones to the changing needs of our workforce.
• Coordinate closely with the payroll team to ensure proper withholding of tax from equity proceeds.
• Provide a high level of customer service in responding to inquiries from current and former employees as well as investors.
• Define domestic and international integration strategies (deal specific) for equity, support M&A equity integration process for our team and work with the team to execute on integration strategies. 
• Ensure that the structure of equity plans and awards are appropriate for international jurisdictions through liaising with legal and tax teams.
• Assist with D&O Questionnaires and Proxy disclosure regarding director and executive officer stock ownership.
• Support the 10b5-1 program for executives and insiders across two brokers.
• Support the timely filing of Section 16 reports (Forms 3, 4 and 5) with the SEC.

Experience:

• 7+ years of experience in stock plan administration, including with public companies on a global scale.
• You have experience effectively partnering with Total Rewards teams, with international equity plans (including M&A equity integration), and supporting Compensation Committee processes.
• You operate like an owner. You are self-motivated, reliable, flexible, and can drive progress under tight deadlines.
• You have exceptional analytical and conceptual thinking skills, have a strong track record of achievement and have a strong tendency toward cross-functional relationship building and a bias toward action.
• You can distill complex concepts into simple, easy to understand communications.
• You’re comfortable interacting with colleagues at all levels and communicating effectively and efficiently.
• You have a strong disposition toward empathy and create an environment where all participants feel supported.
• You are capable of identifying and resolving issues before they surface.
• CEP certification is preferred. Very strong Excel skills are required. Knowledge of Workday, ADP, and the Schwab Equiview platform is a huge plus.
• Deep knowledge of equity accounting and operating in international jurisdictions.
• You have a strong desire to learn and teach, constantly seeking opportunities to develop team members, and be developed by team members. 
• Sense of humor, positive attitude, low ego, and a willingness to dive into new areas.

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 Seattle area is $121,440 - $151,800, 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 is hiring an experienced, talented and energetic Global Equity Program Manager to support Lyft’s global equity function. This role will support execution, rapid international expansion, management of increasing transaction volume, and building critical infrastructure for our global equity programs.  The successful candidate will play a key role in driving the long term strategy and rolling out world class equity programs developed for precision and ease of execution. You will partner cross functionally on the design and delivery of ongoing programs, including compliance, tax, mobility, and employee education. The successful candidate will be an entrepreneurial and resourceful self-starter, comfortable working in a fast-paced and dynamic environment and excellent at building strong relationships. You will report to the Director, Global Equity Programs in our Legal organization.

Responsibilities:

• Support administration of Lyft’s global equity programs including processing all awards, grants, exercises, cancellations and the issuance of all new grants in the US and in foreign jurisdictions, including managing RSUs, PSUs, ESPP, capital markets transactions and other equity programs.
• Continue to drive system automation on the Schwab Equiview platform across Workday and ADP.
• Develop and deliver world class employee education programs for new and continuing employees with a focus on mechanics and overall financial wellness.
• Support all aspects of SOX compliance and continuously work to build efficiencies around execution and documentation of key controls.
• Engage with senior leadership from the legal, finance, and people organizations to design future equity programs and policies and continue to tailor existing ones to the changing needs of our workforce.
• Coordinate closely with the payroll team to ensure proper withholding of tax from equity proceeds.
• Provide a high level of customer service in responding to inquiries from current and former employees as well as investors.
• Define domestic and international integration strategies (deal specific) for equity, support M&A equity integration process for our team and work with the team to execute on integration strategies. 
• Ensure that the structure of equity plans and awards are appropriate for international jurisdictions through liaising with legal and tax teams.
• Assist with D&O Questionnaires and Proxy disclosure regarding director and executive officer stock ownership.
• Support the 10b5-1 program for executives and insiders across two brokers.
• Support the timely filing of Section 16 reports (Forms 3, 4 and 5) with the SEC.

Experience:

• 7+ years of experience in stock plan administration, including with public companies on a global scale.
• You have experience effectively partnering with Total Rewards teams, with international equity plans (including M&A equity integration), and supporting Compensation Committee processes.
• You operate like an owner. You are self-motivated, reliable, flexible, and can drive progress under tight deadlines.
• You have exceptional analytical and conceptual thinking skills, have a strong track record of achievement and have a strong tendency toward cross-functional relationship building and a bias toward action.
• You can distill complex concepts into simple, easy to understand communications.
• You’re comfortable interacting with colleagues at all levels and communicating effectively and efficiently.
• You have a strong disposition toward empathy and create an environment where all participants feel supported.
• You are capable of identifying and resolving issues before they surface.
• CEP certification is preferred. Very strong Excel skills are required. Knowledge of Workday, ADP, and the Schwab Equiview platform is a huge plus.
• Deep knowledge of equity accounting and operating in international jurisdictions.
• You have a strong desire to learn and teach, constantly seeking opportunities to develop team members, and be developed by team members. 
• Sense of humor, positive attitude, low ego, and a willingness to dive into new areas.

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 $132,000 - $165,000, 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.