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We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft connects people to transportation to change the way we live and get around our communities. We are looking for product managers who bring exceptional creative, strategic, and analytical skills to drive forward a best in class product.</p>\n<p>Pricing is the primary economic engine of Lyft&#39;s marketplace , a high-precision, real-time system that processes millions of fare calculations per hour, balancing rider affordability, driver earnings, and Lyft&#39;s sustainable growth. The Pricing team sits at the intersection of the marketplace, mediating between rider demand and driver supply, and is a core pillar of the Rider Organization. The Base Pricing Team owns the systems that set the base price of a Lyft ride for every ride type, region, and ride intent. Behind these base prices is a machine-learning and optimization stack that predicts how the Lyft marketplace responds to price, translates the cost of serving a ride into a price, and recommends price changes across hundreds of markets every week.</p>\n<h3>Responsibilities:</h3>\n<p>As the Staff Product Manager for Base Pricing, you will own the vision and roadmap for how Lyft sets base prices, and define the success metrics that measure it. That includes:</p>\n<ul>\n<li>Determining the optimal granularity at which Lyft sets base prices (e.g., by time, location, and type of trip)</li>\n<li>Improving how our base price optimization engine works with downstream dynamic pricing systems to better respond to real-time market conditions</li>\n<li>Re-evaluating how costs to fulfill a ride impact prices</li>\n<li>Jointly optimizing prices across ride types, so that standard, alternative modes, and scheduled rides are priced as one portfolio</li>\n<li>Making our impact estimation models accurate and trusted by market management teams</li>\n<li>Evolving base pricing to function in a hybrid network with autonomous vehicles</li>\n<li>Work closely with cross-functional stakeholders (engineers, scientists, analysts), and partner teams (Driver Earnings, Verticals, Market Management) to align on a shared vision, define requirements, and prioritize inbound requests.</li>\n<li>Communicate roadmaps, experiment results, and pricing decisions clearly to audiences from partner teams up to Lyft&#39;s executive team.</li>\n</ul>\n<h3>Experience:</h3>\n<ul>\n<li>5+ years of product management or relevant experience, with significant time spent on algorithmic, data-driven, pricing, or marketplace products</li>\n<li>A deep technical understanding of microeconomics, and ideally a background in Operations Research, Econometrics, Machine Learning, or algorithmic systems</li>\n<li>Experience owning pricing, revenue management, or other economic levers with direct P&amp;L impact; experience with price optimization, elasticity modeling, or cost modeling is a strong plus</li>\n<li>Experience running A/B tests and market-level experiments, using statistical and causal inference techniques to evaluate results, and developing post-launch testing strategies</li>\n<li>Experience with data, including querying, aggregation, analysis, and visualization; comfortable working directly in SQL and with data science partners on model design</li>\n<li>Ability to define and analyze metrics that inform the success of products, and excellent judgment about the dynamics of a product ecosystem</li>\n<li>Natural ability to make things happen around you; you manage ambiguity, complexity, and interdependencies across many teams in an organized and structured way</li>\n<li>Strong communication skills and intuition for communication strategy at every level , within teams, within the company, and with executives</li>\n<li>Passion for Lyft and what we are trying to achieve in sustainable urban transportation</li>\n</ul>\n<h3>Benefits:</h3>\n<ul>\n<li>Great medical, dental, and vision insurance options with additional programs available when enrolled</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>401(k) plan with company match to help save for your future</li>\n<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off</li>\n<li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible</li>\n<li>Subsidized commuter benefits</li>\n<li>Monthly Lyft credits and complimentary Lyft Pink membership</li>\n</ul>","enriched_at":1793528202567},{"id":"job_0c8f809f-620","title":"Staff Product Manager I, Base Pricing","source_url":"https://job-boards.greenhouse.io/lyft/jobs/8922068002","location":"New York, NY","job_type":"full-time","experience_level":"staff","work_arrangement":"hybrid","category":"Product Management","description":"<p>At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft connects people to transportation to change the way we live and get around our communities. We are looking for product managers who bring exceptional creative, strategic, and analytical skills to drive forward a best in class product.</p>\n<p>Product management at Lyft leads the integration of engineering, data science, and design to achieve the company&#39;s vision for reinventing transportation. We are looking for entrepreneurial and passionate Product Managers to innovate and execute across a rapidly growing, fast paced company and industry.</p>\n<p>Pricing is the primary economic engine of Lyft&#39;s marketplace , a high-precision, real-time system that processes millions of fare calculations per hour, balancing rider affordability, driver earnings, and Lyft&#39;s sustainable growth. The Pricing team sits at the intersection of the marketplace, mediating between rider demand and driver supply, and is a core pillar of the Rider Organization.</p>\n<p>The Base Pricing Team owns the systems that set the base price of a Lyft ride for every ride type, region, and ride intent. Behind these base prices is a machine-learning and optimization stack that predicts how the Lyft marketplace responds to price, translates the cost of serving a ride into a price, and recommends price changes across hundreds of markets every week. Base prices are the foundation of every fare, and they set the reference point that dynamic pricing and rider discounts build on.</p>\n<h3>Responsibilities:</h3>\n<p>As the Staff Product Manager for Base Pricing, you will own the vision and roadmap for how Lyft sets base prices, and define the success metrics that measure it. That includes:</p>\n<ul>\n<li>Determining the optimal granularity at which Lyft sets base prices (e.g., by time, location, and type of trip)</li>\n<li>Improving how our base price optimization engine works with downstream dynamic pricing systems to better respond to real-time market conditions</li>\n<li>Re-evaluating how costs to fulfill a ride impact prices</li>\n<li>Jointly optimizing prices across ride types, so that standard, alternative modes, and scheduled rides are priced as one portfolio</li>\n<li>Making our impact estimation models accurate and trusted by market management teams</li>\n<li>Evolving base pricing to function in a hybrid network with autonomous vehicles</li>\n<li>Work closely with cross-functional stakeholders (engineers, scientists, analysts), and partner teams (Driver Earnings, Verticals, Market Management) to align on a shared vision, define requirements, and prioritize inbound requests.</li>\n<li>Communicate roadmaps, experiment results, and pricing decisions clearly to audiences from partner teams up to Lyft&#39;s executive team.</li>\n</ul>\n<h3>Experience:</h3>\n<ul>\n<li>5+ years of product management or relevant experience, with significant time spent on algorithmic, data-driven, pricing, or marketplace products</li>\n<li>A deep technical understanding of microeconomics, and ideally a background in Operations Research, Econometrics, Machine Learning, or algorithmic systems</li>\n<li>Experience owning pricing, revenue management, or other economic levers with direct P&amp;L impact; experience with price optimization, elasticity modeling, or cost modeling is a strong plus</li>\n<li>Experience running A/B tests and market-level experiments, using statistical and causal inference techniques to evaluate results, and developing post-launch testing strategies</li>\n<li>Experience with data, including querying, aggregation, analysis, and visualization; comfortable working directly in SQL and with data science partners on model design</li>\n<li>Ability to define and analyze metrics that inform the success of products, and excellent judgment about the dynamics of a product ecosystem</li>\n<li>Natural ability to make things happen around you; you manage ambiguity, complexity, and interdependencies across many teams in an organized and structured way</li>\n<li>Strong communication skills and intuition for communication strategy at every level , within teams, within the company, and with executives</li>\n<li>Passion for Lyft and what we are trying to achieve in sustainable urban transportation</li>\n</ul>\n<h3>Benefits:</h3>\n<ul>\n<li>Great medical, dental, and vision insurance options with additional programs available when enrolled</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>401(k) plan with company match to help save for your future</li>\n<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off</li>\n<li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible</li>\n<li>Subsidized commuter benefits</li>\n<li>Monthly Lyft credits and complimentary Lyft Pink membership</li>\n</ul>","enriched_at":1793528183860},{"id":"job_f05fc8ee-6e4","title":"Software Engineer, Identity","source_url":"https://job-boards.greenhouse.io/lyft/jobs/8806552002","location":"Toronto","job_type":"full-time","experience_level":"senior","work_arrangement":null,"category":"Engineering","description":"<p>The Identity &amp; Integrity organization at Lyft is looking for software engineers to build, improve, and incorporate technologies that make the lives of the community more enriched and safe.</p>\n<p>As a Software Engineer in the Identity team, your primary responsibilities will encompass:</p>\n<ul>\n<li>Designing and enhancing Lyft&#39;s Login &amp; Signup Experiences, including Multi-factor authentication (MFA) experiences</li>\n<li>Optimizing verification funnels, including phone-based two-factor authentication (2FA), email verification, and identity provider single sign-ons (SSO)</li>\n<li>Overseeing session management and device validation</li>\n<li>Developing OAuth client provisioning and related tooling</li>\n<li>Acting as the frontline defense against fraudsters and phishers aiming to exploit rider and driver accounts through product vulnerabilities</li>\n<li>Implementing strategies to counteract risks posed by social engineering tactics</li>\n<li>Leading the maintenance and optimization of core microservices under the Identity team&#39;s purview</li>\n<li>Managing organizational structures and multi-user management systems</li>\n<li>Designing solutions for high-stakes challenges such as preventing unauthorized driving and thwarting abuse related to recycled phones and their numbers</li>\n</ul>\n<p>Responsibilities:</p>\n<ul>\n<li>Writing well-crafted, well-tested, readable, maintainable code</li>\n<li>Promoting appropriate tech and engineering best practices</li>\n<li>Implementing identity and security protocols to secure and protect Lyft users&#39; data at scale</li>\n<li>Partnering with teams across Lyft on identity and account security initiatives</li>\n<li>Sharing knowledge by giving brown bags, tech talks, and evangelizing appropriate tech and engineering best practices</li>\n</ul>\n<p>Experience:</p>\n<ul>\n<li>3+ years of engineering experience working in any of these stacks; Python, GO, Java, etc.</li>\n<li>Experience with cloud service providers like Amazon Web Services (AWS), Google Cloud(GCP), Oracle Cloud, etc.</li>\n<li>Ability to write clear, scalable, and clear design documentation</li>\n<li>Relevant experience mentoring engineers on the team</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Extended health and dental coverage options, along with life insurance and disability benefits</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>Access to a Lyft funded Health Care Savings Account</li>\n<li>RRSP plan with company match to help save for the future</li>\n<li>Flexible paid time off policy</li>\n<li>Subsidized commuter benefits and Lyft ride credits</li>\n</ul>","enriched_at":1793528159130},{"id":"job_6c85957f-ad5","title":"Software Engineer, AI Entries","source_url":"https://job-boards.greenhouse.io/lyft/jobs/8923592002","location":"Toronto","job_type":"full-time","experience_level":"senior","work_arrangement":null,"category":"Engineering","description":"<p>Lyft is looking for a Backend Engineer to join the AI Entries team in the Applied AI department. You will build the foundational infrastructure that connects Lyft to emerging AI ecosystems and devices and architect the APIs and orchestration layers that allow third-party agents and multimodal interfaces to interact with Lyft.</p>\n<h3>Responsibilities:</h3>\n<ul>\n<li>Establish engineering best practices and patterns; help uplift the team&#39;s craft and drive a culture of engineering excellence</li>\n<li>Drive high-impact projects and innovate new solutions to deliver the best user experience</li>\n<li>Produce and drive scalable system design for large, complex features , from idea through execution and launch</li>\n<li>Mentor engineers on the team, providing technical guidance and supporting their growth</li>\n<li>Write well-crafted, well-tested, readable, maintainable code</li>\n<li>Participate in code reviews to ensure code quality and share knowledge across the team</li>\n<li>Participate in the team&#39;s on-call rotation; identify, triage, debug, and resolve issues across our applications and platforms</li>\n<li>Have the ability to explain the various trade offs made in decisions</li>\n<li>Manage project priorities, deadlines, and deliverables.</li>\n</ul>\n<h3>Experience:</h3>\n<ul>\n<li>BS/MS or equivalent in Computer Engineering, Computer Science, or related field or equivalent practical experience.</li>\n<li>3+ years of software engineering/production infrastructure industry experience.</li>\n<li>Experience with Python and Go.</li>\n<li>Experience with cloud platforms (AWS, GCP, or Azure), distributed systems, and databases such as PostgreSQL or DynamoDB</li>\n<li>Proficient and effective in using AI tools (e.g. Copilot, Claude Code, Cursor) to accelerate coding and engineering workflows</li>\n<li>Proficiency in object-oriented programming.</li>\n<li>Experience working with data structures or algorithms.</li>\n<li>Ability to work with a low-ego, highly collaborative, and cross-functional team.</li>\n<li>Bonus points: Experience with LLM orchestration (LangChain, etc.), Vector Databases, or building APIs for conversational agents.</li>\n</ul>\n<h3>Benefits:</h3>\n<ul>\n<li>Extended health and dental coverage options, along with life insurance and disability benefits</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>Access to a Lyft funded Health Care Savings Account</li>\n<li>RRSP plan with company match to help save for your future</li>\n<li>In addition to provincial observed holidays, salaried team members are covered under Lyft&#39;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</li>\n<li>Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.</li>\n<li>Subsidized commuter benefits and Lyft ride credits</li>\n</ul>","enriched_at":1793527085602},{"id":"job_ffa6f9e8-830","title":"Senior Technical Program Manager, Central","source_url":"https://job-boards.greenhouse.io/lyft/jobs/8921735002","location":"San Francisco, CA","job_type":"full-time","experience_level":"senior","work_arrangement":null,"category":"Product Management","description":"<p>At Lyft, our mission is to improve people&#39;s lives with the world&#39;s best transportation.</p>\n<p>The Central TPM team drives Lyft&#39;s highest-impact product and technology initiatives from concept to launch. Central TPMs are technically strong program leaders who operate from a product and engineering point of view and bridge the gap to other functions, such as comms, marketing, BD, support, and external partners, ensuring each is a core partner in the program.</p>\n<h3>Responsibilities</h3>\n<ul>\n<li>Co-own program strategy with Product and Engineering, and influence company strategy, technical architecture, and roadmap tradeoffs.</li>\n<li>Lead end-to-end delivery of Lyft&#39;s top-priority cross-functional initiatives from concept to launch, with clear goals, milestones, and definition of done.</li>\n<li>Develop and execute integration roadmaps, strategies, and playbooks for acquisitions and strategic partnerships.</li>\n<li>Define how the program runs, including roles and decision rights, escalation paths, and communication plan, and hold workstream owners accountable.</li>\n<li>Anticipate risks early, drive mitigation plans, and aggressively resolve systemic issues blocking delivery.</li>\n<li>Communicate with transparency at every level, from engineers to the C-suite, sharing progress, risks, and tradeoffs clearly and directly.</li>\n<li>Present data-backed options to decision makers and drive decisions to closure.</li>\n<li>Contribute to team health by building delivery best practices, mentoring other TPMs, and supporting recruiting and onboarding.</li>\n</ul>\n<h3>Experience</h3>\n<ul>\n<li>7+ years in Technical Program Management or a TPM/PM hybrid role, including leading large, highly cross-functional programs.</li>\n<li>A background in software engineering, systems engineering, or data science, strong enough to go deep with engineers and product leadership.</li>\n<li>Experience delivering programs on large-scale production systems.</li>\n<li>Proven ability to operate autonomously in significant ambiguity, with only high-level direction.</li>\n<li>Track record of shaping strategy and roadmaps, with strong dependency and risk management.</li>\n<li>Ability to influence, negotiate, and build alignment in a matrixed environment without formal authority.</li>\n<li>Experience bridging product and engineering with business functions, such as in acquisitions, partnerships, or go-to-market launches, is a strong plus.</li>\n</ul>\n<h3>Benefits:</h3>\n<ul>\n<li>Great medical, dental, and vision insurance options with additional programs available when enrolled</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>401(k) plan with company match to help save for your future</li>\n<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off</li>\n<li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible</li>\n<li>Subsidized commuter benefits</li>\n<li>Monthly Lyft credits and complimentary Lyft Pink membership</li>\n</ul>","enriched_at":1793527068289},{"id":"job_925947c0-280","title":"Senior Product Manager, Rider ML/AI","source_url":"https://job-boards.greenhouse.io/lyft/jobs/8916924002","location":"San Francisco, CA","job_type":"full-time","experience_level":"senior","work_arrangement":null,"category":"Product Management","description":"<p>The Rider Recommendations team at Lyft is an Applied AI and Machine Learning team focused on personalizing real-time decisions within the Rider Apps. As a Senior Product Manager, you will work closely with machine learning, AI engineers, and data scientists to define objectives for the team&#39;s models and interface with stakeholders to understand their needs and Lyft&#39;s overall goals.</p>\n<h3>Responsibilities:</h3>\n<ul>\n<li>Define, own, and be responsible for the roadmap of applied ML and AI products in every screen of the Rider Application, through the Rider conversion funnel</li>\n<li>Define, track, and periodically report on metrics and KPIs of the team, being directly responsible for financial outcomes that the team drives</li>\n<li>Define the objective function to be maximized/minimized throughout the rider app, taking into account short-term, long-term, and stakeholder teams&#39; objectives</li>\n<li>Work with data science to define, measure, and predict long-term value of Riders</li>\n<li>Identify how to cold start new launches of region, modes, and features to effectively drive adoption while maintaining algorithm performance</li>\n<li>Work in a cross-functional team building a unified Rider profile vision by identifying, collecting, and organizing information about Riders for ML and AI training</li>\n<li>Write detailed product requirements, strategy, and planning documents to drive alignment on product development and create predictable outcomes for workstreams</li>\n<li>Design, run, and analyze experiments and ongoing evaluation systems to monitor model performance and evaluate improvements</li>\n<li>Present to non-technical leadership on the progress of the team monthly, showcasing progress and highlighting roadblocks</li>\n</ul>\n<h3>Experience:</h3>\n<ul>\n<li>Experience driving technically complex machine learning (ML) products end-to-end, from inception to launch with significant user adoption, to sunset</li>\n<li>Experience in managing a team of software engineers, tracking progress towards a roadmap through appropriate tools</li>\n<li>Experience with user-facing large-scale experimentation and knowledge of concepts such as power and statistical significance</li>\n<li>Experience in using AI agents to accelerate day-to-day execution</li>\n<li>Knowledge of how machine learning and AI work, including widely known machine learning and deep learning packages</li>\n<li>Familiarity with crafting and leading presentations to small groups at the CXO executive level and to big teams</li>\n<li>Ability to review and provide critical product feedback to technical specifications written by engineers</li>\n<li>Ease in driving results and operating independently in flat-structured organizations</li>\n</ul>\n<h3>Benefits:</h3>\n<ul>\n<li>Great medical, dental, and vision insurance options with additional programs available</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>401(k) plan with company match</li>\n<li>Discretionary paid time off and 18 weeks of paid parental leave</li>\n<li>Subsidized commuter benefits</li>\n<li>Monthly Lyft credits and complimentary Lyft Pink membership</li>\n</ul>","enriched_at":1793527051423},{"id":"job_6719c579-07e","title":"Senior Product Manager, Driver Experience","source_url":"https://job-boards.greenhouse.io/lyft/jobs/8921966002","location":"Toronto","job_type":"full-time","experience_level":"senior","work_arrangement":null,"category":"Product Management","description":"<p>At Lyft, our mission is to improve people&#39;s lives with the world&#39;s best transportation.</p>\n<p>We are looking for a strategic product manager to join our dynamic and fast-paced Driver team, dedicated to fostering a platform of high-quality service by empowering drivers to perform their best.</p>\n<h3>Responsibilities:</h3>\n<ul>\n<li>Deeply understand driver and business needs to set an ambitious product vision that motivates and inspires your team, peers and leadership</li>\n<li>Set your team&#39;s goals and success metrics that align with Lyft&#39;s mission and drive maximum impact based on data analysis, market research and user research</li>\n<li>Build a product roadmap to achieve your goals and lead a core team of engineers, designers, data scientists, and marketers to execute on it</li>\n<li>Build alignment and collaborate with partner teams on shared goals and initiatives</li>\n<li>Communicate roadmaps, priorities, experiments and decisions across a broad set of audiences from partner teams to executive levels</li>\n<li>Completely own your team&#39;s products, existing or new, from ideation, through development, to launch, growth and maintenance</li>\n</ul>\n<h3>Experience:</h3>\n<ul>\n<li>5+ years in product management, product design or equivalent consultant experience with significant time spent leading consumer facing products</li>\n<li>Ability to make things happen: You manage project ambiguity, complexity, and interdependencies in an organized and structured way, and you are able to define and analyze metrics that inform the success of your products</li>\n<li>Customer obsessed: Strong user empathy and experience in the customer discovery and product development process</li>\n<li>Strong decision making: Experience building alignment and influencing decision making across org lines and with senior leadership; specifically showcasing strong judgment when balancing a flawless user experience and the needs of a two sided marketplace</li>\n<li>Strong communication: Skills and intuition for communication strategy at every level -- within teams, within the company, to users, and other audiences</li>\n<li>Detail oriented: Balancing multiple projects, deadlines, and requests should be second nature to you</li>\n</ul>\n<h3>Benefits:</h3>\n<ul>\n<li>Great medical, dental, and vision insurance options with additional programs available when enrolled</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>401(k) plan with company match to help save for your future</li>\n<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off</li>\n<li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible</li>\n<li>Subsidized commuter benefits</li>\n<li>Monthly Lyft credits and complimentary Lyft Pink membership</li>\n</ul>","enriched_at":1793527037676},{"id":"job_c9b88b2e-111","title":"Senior Payroll Accountant","source_url":"https://job-boards.greenhouse.io/lyft/jobs/8921758002","location":"Seattle, WA","job_type":"full-time","experience_level":"senior","work_arrangement":null,"category":"Finance","description":"<p>Lyft&#39;s Accounting team is looking for an experienced Senior Payroll Accountant to join us in Seattle. You&#39;ll own core payroll accounting and month-end close work across our US and North American entities, keeping everything accurate, on time, and well controlled.</p>\n<p>You&#39;ll work closely with our Payroll, FP&amp;A, and broader Accounting teams, and we&#39;ll count on you to take ownership of your close tasks and help make our processes better over time. If you enjoy a clean reconciliation and a smooth close, we&#39;d love to meet you.</p>\n<h3>Responsibilities:</h3>\n<ul>\n<li>Own payroll-related journal entries for our US (HQ) and North American international subsidiaries, from preparation through booking.</li>\n<li>Prepare payroll accruals, including monthly payroll, bonus, workers&#39; compensation, PTO, and commissions.</li>\n<li>Complete month-end and quarter-end close activities on schedule, in line with our internal close calendar.</li>\n<li>Reconcile and analyze payroll-related GL accounts in accordance with GAAP and Lyft&#39;s accounting policies, and perform flux analysis to explain monthly and quarterly movements.</li>\n<li>Investigate and resolve reconciling items in partnership with FP&amp;A and the Payroll team.</li>\n<li>Build a deep understanding of our pay classes, pay codes, and payroll processing activities so you can connect what happens in payroll to what lands in the GL.</li>\n<li>Keep payroll records organized and audit-ready, and help maintain and strengthen our internal controls.</li>\n<li>Identify opportunities to streamline or automate recurring close work, and help bring them to life.</li>\n<li>Support ad hoc projects as they come up.</li>\n</ul>\n<h3>Experience:</h3>\n<ul>\n<li>Bachelor&#39;s degree in Accounting or Finance; CPA is a plus.</li>\n<li>4+ years of general ledger accounting experience, including 2+ years in payroll accounting.</li>\n<li>Hands-on experience owning month-end close in a fast-paced, multi-entity environment.</li>\n<li>Strong command of GAAP.</li>\n<li>The ability to work independently, stay organized, and hit deadlines without sacrificing accuracy.</li>\n<li>Clear, friendly communication and a collaborative approach with cross-functional partners.</li>\n<li>A deep respect for confidentiality and data integrity.</li>\n<li>Advanced Excel skills (lookups, pivot tables, and clean, reviewable workpapers).</li>\n<li>Experience with finance and payroll systems such as Workday, Oracle, ADP Globalview, or similar.</li>\n</ul>\n<h3>Benefits:</h3>\n<ul>\n<li>Great medical, dental, and vision insurance options with additional programs available when enrolled</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>401(k) plan with company match to help save for your future</li>\n<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off</li>\n<li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible</li>\n<li>Subsidized commuter benefits</li>\n<li>Monthly Lyft credits and complimentary Lyft Pink membership</li>\n</ul>","enriched_at":1793526990780},{"id":"job_022e384b-dc5","title":"Senior Analyst, Executive Chauffeur (Alcove)","source_url":"https://job-boards.greenhouse.io/lyft/jobs/8514422002","location":"Toronto","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Data Science","description":"<p>At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. We are building a new business. Alcove is Lyft&#39;s new global chauffeur network: one premium chauffeured service for executive travel, financial roadshows, VIP movements and multi-car events, with consistent standards across 120+ countries. Alcove brings together TBR Global Chauffeuring&#39;s three decades of white-glove service with Lyft&#39;s technology and marketplace experience. Today, corporate travel teams work with different suppliers, contracts, pricing and service standards in every market. Alcove replaces that with a modern booking portal, a dedicated mobile app and a single global standard of service. It will launch in early 2027 as its own brand, separate from the Lyft app, and complements Lyft Black and Lyft Business, so companies can use Alcove for executive travel and Lyft for everyday travel at scale. This is a rare chance to help build a premium brand from the ground up, inside a company with Lyft&#39;s scale, and to shape how it grows around the world.</p>\n<p>The Global Growth organization is charting the future of Lyft&#39;s growth beyond North American rideshare&#39;s core products. This includes our premium Luxury modes and Livery drivers, building a unified Lyft presence internationally, and bringing Autonomous Vehicles (AVs) to riders domestically and abroad.</p>\n<p>As the Senior Analyst for Alcove, you will be the analytics lead for one of Lyft&#39;s newest lines of business. You will build the data foundation for Alcove from day one, size the opportunity in each market, and turn what we learn from every booking into strategy for pricing, supply, service quality and growth. You will work side by side with Alcove&#39;s product, engineering, operations, finance and commercial leaders, and with the TBR team whose operating experience is the core of the business. Your work will reach Lyft&#39;s senior leadership directly, and you will help define what analytics looks like for Alcove as it scales.</p>\n<p>The ideal candidate is a thought leader who combines strong business judgment with hands-on analytical skill, and who is excited by the detail of a premium service: the right car, the right chauffeur and a price the client understands before they book.</p>\n<p>In this role, you will help us tackle problems such as:</p>\n<ul>\n<li>Global expansion: Which markets, corporate accounts and use cases should Alcove prioritize across 120+ countries, and how large is the opportunity in each?</li>\n<li>Pricing: How should we price point-to-point, hourly and event service so it is transparent and all-inclusive for clients, while staying profitable across chauffeur partners with different cost structures?</li>\n<li>Service quality: How do we measure and hold a consistent standard of service across a global network of independent chauffeur partners?</li>\n<li>Supply network: Where do we need more or better partners, and how do we decide which partner gets each job?</li>\n<li>One Lyft, two brands: How should Alcove, Lyft Black and Lyft Business work together for corporate clients, and how do we build a path for Lyft Black drivers to drive with Alcove?</li>\n<li>Growth and loyalty: What brings executive assistants, travel managers and passengers back, and how should credits and loyalty programs reward them?</li>\n<li>The data foundation: What metrics, sources of truth and launch reporting does a brand-new global business need on day one?</li>\n</ul>\n<h3>Experience</h3>\n<ul>\n<li>6+ years experience in management consulting, strategic data science/analytics roles in a technology company, or an equivalent analytical role in a high growth startup</li>\n<li>Experience leading high visibility projects and influencing others in a cross-functional team environment</li>\n<li>Experience communicating with and presenting to senior leaders, and telling a clear story with data</li>\n<li>Strong ability in building decision-making frameworks and business cases, able to understand business issues, analyze large amounts of data, and draw clear conclusions</li>\n<li>Entrepreneurial self-starter: you naturally take ownership, look for opportunities, and do whatever it takes to drive results</li>\n<li>Nice to have: experience in premium or luxury services, corporate travel, hospitality, B2B marketplaces, pricing, or launching a business in new international markets</li>\n</ul>\n<h3>Skills</h3>\n<ul>\n<li>Ability to independently break down large datasets and synthesize inputs from multiple sources, including partner and operational data</li>\n<li>Ability to think strategically about complex and unstructured business problems, leading to recommendations and action plans</li>\n<li>Ability to craft a compelling story and concisely present recommendations across teams and levels, including both technical and non-technical audiences</li>\n<li>Ability to manage, influence, negotiate, and inspire others in a fast-moving and ambiguous environment</li>\n<li>Ability to use data visualization tools to build reporting and reusable frameworks for a new business</li>\n<li>Strong written and verbal communication skills for internal stakeholders, including senior leadership</li>\n<li>Strong product and customer experience sense, with an eye for what premium service feels like to the client</li>\n<li>Excellent organization, planning skills, and attention to detail</li>\n<li>Advanced analytical and problem solving skills</li>\n<li>Proficiency in SQL</li>\n</ul>\n<h3>Benefits:</h3>\n<ul>\n<li>Extended health and dental coverage options, along with life insurance and disability benefits</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>Access to a Lyft funded Health Care Savings Account</li>\n<li>RRSP plan with company match to help save for your future</li>\n<li>In addition to provincial observed holidays, salaried team members are covered under Lyft&#39;s flexible paid time off policy.</li>\n<li>Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs.</li>\n<li>Subsidized commuter benefits and Lyft ride credits</li>\n</ul>","enriched_at":1793526973663},{"id":"job_6f098f8d-8cb","title":"Internal Communications Senior Manager","source_url":"https://job-boards.greenhouse.io/lyft/jobs/8922198002","location":"San Francisco, CA","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Communications","description":"<p>Lyft is seeking a seasoned Internal Communications leader to set and own communications strategy for key areas of the business. This person will be a trusted advisor to senior leaders and a go-to communications expert on business priorities.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Develop and own an annual communications roadmap for designated areas of the business, connecting communications to business objectives and measuring impact against clear outcomes.</li>\n<li>Serve as a key advisor to senior leaders on communications strategy and execution, influencing what is communicated, when, and how.</li>\n<li>Become the go-to communications expert on the business areas you support, with a deep understanding of their roadmap, challenges, and priorities.</li>\n<li>Lead large, complex, multi-quarter communications programs that span multiple teams and functions, motivating partners to take ownership and staying aligned with business priorities.</li>\n<li>Craft high-level, clear messaging for executive leaders and company-wide distribution.</li>\n<li>Lead communications response for complex, multi-stakeholder situations, including crisis and change management.</li>\n<li>Anticipate communications challenges and proactively develop solutions to address them before they arise.</li>\n<li>Use data and industry insights to inform strategy, and continuously improve how we communicate.</li>\n<li>Set high standards for communications quality, and support the growth of others on the team through mentorship and feedback.</li>\n<li>Maintain the Lyft brand and voice across all communications, written and verbal.</li>\n<li>Keep Lyft fun!</li>\n</ul>\n<p>Experience:</p>\n<ul>\n<li>8+ years of experience leading communications strategy and execution, with significant internal or executive communications experience</li>\n<li>Proven track record as a trusted advisor to senior executives</li>\n<li>Experience leading multi-quarter, cross-functional communications programs with measurable business impact</li>\n<li>Ability to fluidly navigate between strategy and execution, from developing strategic plans to producing crisp, clear communications</li>\n<li>Experience leading communications through crisis and significant organisational change</li>\n<li>Experience communicating complex business, product, or technology topics in a way that resonates with a broad audience</li>\n<li>Experience tailoring communications to distributed and global workforces, including full-time and hourly team members</li>\n<li>A clear point of view on how AI can improve communications effectiveness, and experience putting it into practice</li>\n<li>Experience mentoring others and raising the bar for a team&#39;s work</li>\n<li>Thrives in highly fluid situations and fast-paced environments</li>\n<li>Excellent written and verbal communication skills</li>\n<li>Lyft user/believer</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Great medical, dental, and vision insurance options with additional programs available when enrolled</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>401(k) plan with company match to help save for your future</li>\n<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off</li>\n<li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible</li>\n<li>Subsidised commuter benefits</li>\n<li>Monthly Lyft credits and complimentary Lyft Pink membership</li>\n</ul>","enriched_at":1793526935033}],"category_normalised":[{"category":"engineering","count":62},{"category":"data science","count":22},{"category":"product management","count":12},{"category":"legal","count":11},{"category":"operations","count":9},{"category":"finance","count":7},{"category":"sales","count":6},{"category":"logistics & supply chain","count":5},{"category":"human resources","count":5},{"category":"marketing","count":4},{"category":"design","count":4},{"category":"security","count":3},{"category":"policy & public affairs","count":3},{"category":"customer service","count":2},{"category":"communications","count":2},{"category":"research","count":1}],"velocity":{"weeks":[{"week_start":"2026-10-19","count":86},{"week_start":"2026-10-26","count":72}],"trend":"stable","wow_pct":-16},"momentum":{"recent_14d":158,"prior_14d":0,"growth_pct":0,"classification":"stable"},"salary_vs_industry":{"company_median":178312.5,"industry_median":null,"percentile":null,"sample_size":10,"by_region":[{"region":"United States","company_median":178312.5,"industry_median":null,"sample":10}],"transparency_pct":7,"industry_transparency_pct":0,"transparency_warning":true},"market_share":{"company_jobs":158,"industry_total":158,"share_pct":100,"rank":1,"peer_count":1},"ai_exposure":{"occupation_weighted_score":0.306,"skill_weighted_score":0.461,"top_exposed_titles":[{"title":"Senior Data Scientist, Causal Inference","count":3,"score":0.46},{"title":"Staff Product Manager I, Base Pricing","count":2,"score":0.32},{"title":"Senior Product Manager, Trust & Safety","count":2,"score":0.32},{"title":"Senior Product Manager, Customer Care AI","count":2,"score":0.32},{"title":"Senior Machine Learning Engineer, Recommendations","count":2,"score":0.461},{"title":"Senior AI Software Engineer, Risk - Insurance Claims Management","count":2,"score":0.288},{"title":"Risk Analyst","count":2,"score":0.265},{"title":"Program Manager, AV Safety Policy & Programs","count":2,"score":0.092},{"title":"Legal Operations Specialist","count":2,"score":0.048},{"title":"Growth Marketing Manager, Lifecycle","count":2,"score":0.32}],"top_exposed_skills":[{"skill":"Causal Inference","count":5,"score":0.461},{"skill":"Mathematics","count":4,"score":0.461},{"skill":"Statistics","count":6,"score":0.461},{"skill":"Economics","count":5,"score":0.461},{"skill":"Statistical Concepts","count":4,"score":0.461},{"skill":"Experimental Design","count":3,"score":0.46},{"skill":"Marketplace Design","count":3,"score":0.46},{"skill":"Ridesharing","count":3,"score":0.46},{"skill":"Two-sided Marketplaces","count":3,"score":0.46},{"skill":"Marketing Mix Modeling","count":3,"score":0.46}]},"peer_set":[],"skills_lq":[],"geographic_shift":{"current":[{"region":"United States","count":78,"share_pct":49.4},{"region":"Canada","count":67,"share_pct":42.4},{"region":"Latin America","count":9,"share_pct":5.7},{"region":"Unknown","count":4,"share_pct":2.5}],"emerging":[{"region":"United States","recent_30d":78,"prior_30d":0,"growth_pct":100},{"region":"Canada","recent_30d":67,"prior_30d":0,"growth_pct":100},{"region":"Latin America","recent_30d":9,"prior_30d":0,"growth_pct":100},{"region":"Unknown","recent_30d":4,"prior_30d":0,"growth_pct":100}],"shrinking":[]},"seniority_anomalies":{"exec_recent_30d":4,"exec_prior_90d_avg":0,"exec_growth_pct":100,"notable_exec_hires":[{"title":"Director, Bid Strategy & Pricing","location":"Montreal","posted_at":"2026-11-01"},{"title":"VP, Global People Business Partners","location":"San Francisco, CA","posted_at":"2026-10-27"},{"title":"Director, Trust & Safety","location":"New York, NY; San Francisco, CA","posted_at":"2026-10-25"},{"title":"Director, Product & Brand Communications","location":"New York, NY","posted_at":"2026-10-25"}]},"posting_dynamics":{"median_days_open":7,"industry_median_days_open":null,"long_open_count":0,"closure_rate_pct":15}}}}