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 variety of disciplines. We are growing our team with people who want to build, improve and incorporate technologies that make the lives of our community more enriched. As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empower us to iterate quickly, while focusing on delighting our passengers and drivers.

As a Senior Software Engineer on the Marketplace team, you will lead work streams to improve business operations in Lyft’s Marketplace. You'll design AI driven data analytics platforms, data pipelines and metric governance systems that our business leaders use on a daily basis to make key strategic decisions. You will partner with business leaders and data scientists across our organizations to enable running the business more efficiently.

Responsibilities:

• Help define the roadmap and architecture based on technology and business needs
• Drive AI innovation for business analytics and operations
• Write well-crafted, well-tested, readable, maintainable code
• Have a good grasp and ability to explain the various tradeoffs made in decisions
• Participate in code reviews to ensure code quality and distribute knowledge 
• Lead projects from idea to positive execution
• Incorporate considerations for business context and failure modes in your work
• Proactively participate in resolving ongoing incidents 
• Unblock, support, effectively communicate, and obtain buy-in across teams to achieve results
• Share your knowledge by giving brown bags, tech talks, and evangelizing appropriate tech and engineering best practices

Experience:

• 5+ years of software engineering industry experience with a high level programming language (bonus points for experience with Python or Go)
• AI Experience in Agentic workflows, Model Evaluation, Causal models and Anomaly detection
• When facing a problem that's poorly defined or outside of your expertise, you can quickly learn what you need to dig in, make sense of the problem, and start working towards a solution
• You're a great communicator, and can advocate for your proposals while also empathizing with your teammates' goals and priorities
• You have experience defining API schemas and developing backend services in a microservices environment
• You have a history of going out of your way to help out your fellow engineer to make them more productive

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.

With over half a billion rides and counting, Lyft is solving hard problems at scale, leveraging AI and Machine Learning to better serve our customers. The Artificial Intelligence, Machine Learning, and Operations Research Platforms team (AIMLOR) is seeking a Senior Machine Learning Engineer to focus on building AI Platform components enabling critical AI applications across Lyft. Expertise with GenAI and platform building is a core requirement for this role. In this role, you will contribute to our platform which supports real-time, online, and offline AI and ML model execution, development, and iteration. You will work with a team of highly motivated Machine Learning and Software Engineers on challenging problems, defining solutions to directly impact systems across the entire business.

If you are interested in building an AI Platform at scale, with applications across each facet of the company, we are searching for you.

If you are a creative and critical thinker with experience in AI and machine learning systems, passionate about solving business problems using data and working in a dynamic, creative, and collaborative environment, we are searching for you.

Responsibilities:

• Contribute to the roadmap and architecture based on technology and business needs
• Write well-crafted, well-tested, readable, maintainable code
• Have a good grasp and ability to explain the various tradeoffs made in decisions
• Participate in code reviews to ensure code quality and distribute knowledge 
• Build features from tech specification to positive execution
• Incorporate considerations for business context and failure modes in your work
• Proactively participate in resolving ongoing incidents 
• Unblock, support, effectively communicate, and obtain buy-in within your team to achieve results
• Share your knowledge by giving brown bags and tech talks

Experience:

• BSc/MSc in Computer Engineering, Computer Science, Machine Learning related field or relevant work experience
• 5+ years of ML engineering experience working in any of these stacks: Python, GO, Java, etc.
• Experience with ML serving/training/deployment infrastructure; familiarity with cloud providers (e.g. AWS, Azure, Google Cloud); familiarity with GenAI ecosystem: LLMs, prompt engineering, MCP, RAG; hands-on experience with LLM fine-tuning techniques and frameworks (e.g. PEFT, LoRA); knowledge on deploying self-hosted LLMs (e.g. Llama, Mistral) for specialized tasks
• Experience with GenAI/LLM infrastructure, agent frameworks (e.g. LangChain, LangGraph); MLOps tooling (MLflow, Airflow)
• Preferred: Experience with AI assisted coding such as Cursor or Claude Code

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 $149,780 - $187,220, 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.

With over half a billion rides and counting, Lyft is solving hard problems at scale, leveraging AI and Machine Learning to better serve our customers. The Artificial Intelligence, Machine Learning, and Operations Research Platforms team (AIMLOR) is seeking a Senior Machine Learning Engineer to focus on building AI Platform components enabling critical AI applications across Lyft. Expertise with GenAI and platform building is a core requirement for this role. In this role, you will contribute to our platform which supports real-time, online, and offline AI and ML model execution, development, and iteration. You will work with a team of highly motivated Machine Learning and Software Engineers on challenging problems, defining solutions to directly impact systems across the entire business.

If you are interested in building an AI Platform at scale, with applications across each facet of the company, we are searching for you.

If you are a creative and critical thinker with experience in AI and machine learning systems, passionate about solving business problems using data and working in a dynamic, creative, and collaborative environment, we are searching for you.

Responsibilities:

• Contribute to the roadmap and architecture based on technology and business needs
• Write well-crafted, well-tested, readable, maintainable code
• Have a good grasp and ability to explain the various tradeoffs made in decisions
• Participate in code reviews to ensure code quality and distribute knowledge 
• Build features from tech specification to positive execution
• Incorporate considerations for business context and failure modes in your work
• Proactively participate in resolving ongoing incidents 
• Unblock, support, effectively communicate, and obtain buy-in within your team to achieve results
• Share your knowledge by giving brown bags and tech talks

Experience:

• BSc/MSc in Computer Engineering, Computer Science, Machine Learning related field or relevant work experience
• 5+ years of ML engineering experience working in any of these stacks: Python, GO, Java, etc.
• Experience with ML serving/training/deployment infrastructure; familiarity with cloud providers (e.g. AWS, Azure, Google Cloud); familiarity with GenAI ecosystem: LLMs, prompt engineering, MCP, RAG; hands-on experience with LLM fine-tuning techniques and frameworks (e.g. PEFT, LoRA); knowledge on deploying self-hosted LLMs (e.g. Llama, Mistral) for specialized tasks
• Experience with GenAI/LLM infrastructure, agent frameworks (e.g. LangChain, LangGraph); MLOps tooling (MLflow, Airflow)
• Preferred: Experience with AI assisted coding such as Cursor or Claude Code

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 $162,800 - $203,500, 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 connects people to transportation to change the way we live and get around our communities. We are looking for product managers who bring exceptional creative and analytical skills to drive forward a best in class product. Product management at Lyft leads the integration of engineering, data science, and design to achieve the company’s vision for reinventing transportation. We are looking for entrepreneurial and passionate Product Managers to innovate and execute across a rapidly growing, fast paced company and industry.

Matching and Fulfillment is central to the Lyft marketplace and how riders and drivers experience Lyft: estimating ETAs and the cost of fulfillment, optimizing driver-rider matches, and delivering on our on-time promise. The Matching and Fulfillment group is responsible for dynamically matching supply and demand to balance drivers’ expectations, riders’ expectations and Lyft’s objectives. To help accomplish this mission, the Product Manager, Matching and Fulfillment will:

• Identify opportunities to improve the customer experience through optimization of our matching and fulfillment products and systems
• Drive methodologies and systems to enable trade offs between different objectives (growth, profit, user retention, driver hours, driver pay)
• Define the roadmap for and manage product development execution for a cross-functional team focused on pre-request match generation, post-request fulfillment or matching core services

This individual should:

• Have an Operations Research/ML/algorithmic background
• Have shipped products in deeply technical and analytical domains - able to use data and experimentation to guide a team towards successful execution
• Be detail-oriented and able to dive deep into complex technical concepts, but also abstract them to cross-functional stakeholders and leaders
• Maintain an objective, strong POV on what to build for our users, amidst many different stakeholders, world-class scientists, and experienced engineers with varied goals

Responsibilities:

• Own your team's products, existing or new, from ideation, through development, to launch, growth and maintenance
• Represent the customer’s point of view and champion a customer-first approach to product development
• Align on business goals for optimization with executives and business teams
• Define short-term and long-term strategy to achieve those goals
• Develop and own quarterly and yearly roadmaps and financial impact for your team
• Write product requirements documents and review experiment design docs and technical specifications for your team’s projects
• Ideate impactful projects, then break them down into MVP and further milestones to test and develop the hypothesis through fast experimentation, pivoting when the data hints
• Work closely with partner teams to represent your team’s perspective on new initiatives, define requirements, and prioritize asks
• Lead and align cross-functional partners and team: engineers, scientists, analysts, business partners, operations to drive a shared vision

Experience:

• Minimum of 4 years of product management experience
• Experience managing Operations Research/ML/algorithmic products across any domain
• Natural ability to make things happen around you. You manage project ambiguity, complexity and interdependencies in an organized and structured way.
• Ability to define and analyze metrics that inform the success of products
• Excellent judgment and thoughtfulness about the dynamics of a product ecosystem
• Strong communication skills and intuition for communication strategy at every level -- within teams, within the company, to users
• Experience running A/B tests and using common statistical techniques to evaluate results. Experience leading post-launch optimizations including developing testing strategies
• Experience with data, including querying, aggregation, analysis, and visualization
• Ability to conceptualize, manage and prioritize multiple projects for stakeholders
• Superior organizational skills -- balancing multiple projects, deadlines, and requests should be second nature to you

Benefits:

• Great medical, dental, and vision insurance options with additional programs available when enrolled
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• 401(k) plan with company match to help save for your future
• In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
• 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
• Subsidized commuter benefits
• Monthly Lyft credits and complimentary Lyft Pink membership

Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the 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. 

Lyft connects people to transportation to change the way we live and get around our communities. We are looking for product managers who bring exceptional creative and analytical skills to drive forward a best in class product. Product management at Lyft leads the integration of engineering, data science, and design to achieve the company’s vision for reinventing transportation. We are looking for entrepreneurial and passionate Product Managers to innovate and execute across a rapidly growing, fast paced company and industry.

Matching and Fulfillment is central to the Lyft marketplace and how riders and drivers experience Lyft: estimating ETAs and the cost of fulfillment, optimizing driver-rider matches, and delivering on our on-time promise. The Matching and Fulfillment group is responsible for dynamically matching supply and demand to balance drivers’ expectations, riders’ expectations and Lyft’s objectives. To help accomplish this mission, the Product Manager, Matching and Fulfillment will:

• Identify opportunities to improve the customer experience through optimization of our matching and fulfillment products and systems
• Drive methodologies and systems to enable trade offs between different objectives (growth, profit, user retention, driver hours, driver pay)
• Define the roadmap for and manage product development execution for a cross-functional team focused on pre-request match generation, post-request fulfillment or matching core services

This individual should:

• Have an Operations Research/ML/algorithmic background
• Have shipped products in deeply technical and analytical domains - able to use data and experimentation to guide a team towards successful execution
• Be detail-oriented and able to dive deep into complex technical concepts, but also abstract them to cross-functional stakeholders and leaders
• Maintain an objective, strong POV on what to build for our users, amidst many different stakeholders, world-class scientists, and experienced engineers with varied goals

Responsibilities:

• Own your team's products, existing or new, from ideation, through development, to launch, growth and maintenance
• Represent the customer’s point of view and champion a customer-first approach to product development
• Align on business goals for optimization with executives and business teams
• Define short-term and long-term strategy to achieve those goals
• Develop and own quarterly and yearly roadmaps and financial impact for your team
• Write product requirements documents and review experiment design docs and technical specifications for your team’s projects
• Ideate impactful projects, then break them down into MVP and further milestones to test and develop the hypothesis through fast experimentation, pivoting when the data hints
• Work closely with partner teams to represent your team’s perspective on new initiatives, define requirements, and prioritize asks
• Lead and align cross-functional partners and team: engineers, scientists, analysts, business partners, operations to drive a shared vision

Experience:

• Minimum of 4 years of product management experience
• Experience managing Operations Research/ML/algorithmic products across any domain
• Natural ability to make things happen around you. You manage project ambiguity, complexity and interdependencies in an organized and structured way.
• Ability to define and analyze metrics that inform the success of products
• Excellent judgment and thoughtfulness about the dynamics of a product ecosystem
• Strong communication skills and intuition for communication strategy at every level -- within teams, within the company, to users
• Experience running A/B tests and using common statistical techniques to evaluate results. Experience leading post-launch optimizations including developing testing strategies
• Experience with data, including querying, aggregation, analysis, and visualization
• Ability to conceptualize, manage and prioritize multiple projects for stakeholders
• Superior organizational skills -- balancing multiple projects, deadlines, and requests should be second nature to you

Benefits:

• Great medical, dental, and vision insurance options with additional programs available when enrolled
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• 401(k) plan with company match to help save for your future
• In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
• 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
• Subsidized commuter benefits
• Monthly Lyft credits and complimentary Lyft Pink membership

Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Seattle area is $136,160 - $170,200, 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. Lyft’s engineering team is growing rapidly, and we are looking for Software Engineers with a passion in Security to help us scale. Come be part of the Security team at Lyft focused on enabling and empowering engineering teams to deliver secure services at scale.

Our drivers and passengers entrust Lyft with their personal information and travel details to get where they're going and expect us to keep that data safe. Lyft's security team leads efforts across the company to ensure our systems are secure and worthy of our users' trust.

Lyft Security builds systems to protect and defend infrastructure. We consult with teams as they build and launch new products and features, proactively plan for the unexpected, and respond to incidents that occur. Our work has company wide impact and takes place at all levels of the stack, from infrastructure to web application security, as well as mobile apps, IT, bikes and scooters. We believe in scaling security through engineering fundamentals, automation, and tooling. Check out our blog posts at https://eng.lyft.com/tagged/security  to learn more about some of the things we’ve built.

Corporate Security serves as a trusted partner, advisor, and enabler for Enterprise Security at Lyft by meeting and anticipating needs as the company evolves.

Responsibilities:

• Partner cross functionally to design and enforce secure processes that empower Lyft employees
• Help establish roadmaps and prioritize projects based on stakeholders’ needs
• Write well-crafted, well-tested, readable, and maintainable code
• Participate in code reviews to ensure code quality and distribute knowledge
• Share your knowledge by giving brown bags, tech talks, and promoting appropriate tech and engineering best practices
• Supporting and improving our existing detection pipelines
• Lead large projects from idea to successful execution
• Unblock, support and communicate with internal partners to achieve results

Experience:

• 5+ years of software engineering or security engineering industry experience
• Solid experience with a high level programming language (bonus points for experience with Python, Go-lang and shell scripts)
• Exposure to Database technologies including NoSQL (e.g., DynamoDB, Redis, Elasticsearch, etc.)
• Experience (or deep interest in) working with security systems
• Understanding of computer network security or major computer networking protocols (e.g. TCP/IP, HTTP, TLS, DNS).
• Nice to haves: 
• Experience with Amazon Web Services (AWS) or any other major cloud service provider
• Kubernetes and container technology experience
• Experience with Okta, Google Workspace, and other identity and productivity platforms commonly found in enterprise SaaS environments
• Experience leveraging AI to automate security workflows

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 $136,160 - $170,200, 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 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 looking for experienced and product-focused software engineers. We are growing our team with people who want to build, improve, and incorporate technologies that enrich the lives of our community. As an engineer at Lyft, you'll collaborate cross functionally with product, data science, analytics, and operations on code that empowers us to iterate quickly while focusing on delighting our passengers and drivers.

Responsibilities:
Write well-crafted, maintainable code and collaborate with product managers, designers, and engineering teams to deliver complex features from idea to execution.
Manage project priorities, deadlines, and deliverables, while considering business context and failure modes in design decisions.
Participate in code reviews, ensuring code quality, sharing knowledge, and mentoring junior engineers.
Join the on-call rotation, triaging and resolving incidents/issues across applications and platforms.
Contribute to defining the roadmap and architecture, and identify opportunities for process improvement and automation.
Participate in hiring activities: take part in technical interviews, live coding, share detailed feedback to hire the best technical talent in the function.

Experience:
5+ years of software engineering experience with high-level programming languages; experience with Python and Go is a plus.
BS/MS in Computer Engineering, Computer Science, or related field, or equivalent work experience.
Strong background in distributed systems, and proficient in both relational and NoSQL databases.
Proven experience in designing, debugging, and managing fault-tolerant, highly available, large-scale distributed systems.

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 $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.

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 San Francisco 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 looking for product-focused server software engineers for our Rider Team. We are growing our team with people who want to build, improve, and incorporate technologies that enrich the lives of our community. As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empowers us to iterate quickly while focusing on delighting our passengers and drivers.

The Rider Golden Path team builds the core user-facing app experience for requesting and completing a ride. You’ll help bring the next iterations of our home screen, ride mode selector, driver matching states and more to life.

Responsibilities:

• Write well-crafted, well-tested, readable, maintainable code
• Participate in code reviews to ensure code quality and distribute knowledge 
• Participate in our team's 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.

Experience:

• BS/MS or equivalent in Computer Engineering, Computer Science, or related field or equivalent practical experience
• +3 years of experience working Experience with Python and/or Go, or a similar language
• Proficiency in object-oriented programming
• Experience working with data structures or algorithms 
• Ability to work with a low-ego, highly collaborative, and cross-functional team
• Bonus points: experience pursuing side projects or open-source projects

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 $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.

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.

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.

Responsibilities:

• Prepare and book payroll related journal entries for US (HQ) and North American International subsidiaries. 
• Prepare various payroll related accruals (monthly payroll accrual, bonus, worker’s compensation, PTO, commissions, etc.)
• Perform month-end, quarter-end and year end close in accordance with the close schedule.
• Reconcile and analyze general ledger accounts consistent with GAAP and corporate accounting policies.
• Maintain monthly cash clearing <> GL reconciliations.
• Partner with FP&A and/or payroll team to resolve non-reconciling items and other analysis of monthly activity. 
• Work closely with the payroll processing team to understand pay classes, pay codes, and payroll processing activities.
• Maintain completeness and accuracy of the general ledger for all payroll related accounts on a monthly/quarterly basis via account reconciliation and flux analysis.
• Support SOX compliance-related projects
• Assist in preparation of reports for various audits
• Assist with ad hoc projects as needed
• Strong emphasis on automation of tasks

Experience:

• Bachelor’s degree in accounting or finance
• 1+ years of payroll accounting
• 3+ years of General Ledger accounting experience
• Comprehensive understanding of generally accepted accounting principles (GAAP)
• Proven ability to work with minimal direction, as well as be resourceful and independent in solving problems.
• High level of dedication to adhering to deadlines and attention to detail.
• Excellent organizational and communication skills
• High regard for confidentiality and 100% data integrity
• Proficiency in Microsoft Excel
• Familiarity working with Finance systems; Workday, Oracle, ADP Globalview, etc.

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 $80,960 - $101,200, 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 looking for experienced software engineers from a variety of disciplines. We are growing our team with people who want to build, improve and incorporate technologies that make the lives of our community more enriched. As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empower us to iterate quickly, while focusing on delighting our passengers and drivers.

As a Senior Software Engineer on the Marketplace team, you will lead work streams to improve business operations in Lyft’s Marketplace. You'll design AI driven data analytics platforms, data pipelines and metric governance systems that our business leaders use on a daily basis to make key strategic decisions. You will partner with business leaders and data scientists across our organizations to enable running the business more efficiently.

Responsibilities:

• Help define the roadmap and architecture based on technology and business needs
• Drive AI innovation for business analytics and operations
• Write well-crafted, well-tested, readable, maintainable code
• Have a good grasp and ability to explain the various tradeoffs made in decisions
• Participate in code reviews to ensure code quality and distribute knowledge 
• Lead projects from idea to positive execution
• Incorporate considerations for business context and failure modes in your work
• Proactively participate in resolving ongoing incidents 
• Unblock, support, effectively communicate, and obtain buy-in across teams to achieve results
• Share your knowledge by giving brown bags, tech talks, and evangelizing appropriate tech and engineering best practices

Experience:

• 5+ years of software engineering industry experience with a high level programming language (bonus points for experience with Python or Go)
• AI Experience in Agentic workflows, Model Evaluation, Causal models and Anomaly detection
• When facing a problem that's poorly defined or outside of your expertise, you can quickly learn what you need to dig in, make sense of the problem, and start working towards a solution
• You're a great communicator, and can advocate for your proposals while also empathizing with your teammates' goals and priorities
• You have experience defining API schemas and developing backend services in a microservices environment
• You have a history of going out of your way to help out your fellow engineer to make them more productive

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 $136,160 - $170,200, 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.