Growth Marketing Manager, Lifecycle

Lyft

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Growth Marketing team is a data-driven, growth-focused function that brings together marketing, analytics, user insights, and experimentation to develop and optimize our rider and driver acquisition strategy. We are looking for an experienced, analytically minded programmatic marketer to lead and scale our programmatic user acquisition efforts. This is a senior individual contributor role requiring a blend of strategic thinking, hands-on channel expertise, and rigorous analytical skills. You will own key parts of our Growth Acquisition program and independently drive new user growth across emerging company initiatives including International Expansion, Partnerships, and Experimental Programs. The ideal candidate is self-directed, proactively digs into data, and brings a strong experimentation mindset. Advanced SQL and Excel skills are required. We're also looking for someone who actively uses AI tools (e.g., Claude, Gemini, ChatGPT) to sharpen their analytical and operational workflows — not just as a novelty, but as a genuine multiplier on their output. RESPONSIBILITIES: * Own the strategy, execution, and optimization of programmatic paid media campaigns — including audience buildout, signal testing, bid strategy, and creative rotation across display, video, and native formats * Build, manage, and scale campaigns with a strong lens toward experimentation, incrementality, and measurement * Develop channel roadmaps and work cross-functionally with Marketing, Product, Analytics, and Business teams to align on priorities and goals * Partner with third-party vendors and DSPs to expand online and offline acquisition capabilities * Conduct ad-hoc analyses to diagnose performance, surface insights, and drive actionable recommendations * Design and execute A/B and multivariate experiments to improve campaign performance and efficiency * Leverage AI tools (e.g., Claude, Gemini) to accelerate analysis, automate repetitive workflows, and bring a modern, efficiency-oriented approach to day-to-day operations EXPERIENCE: * 5+ years of experience in growth marketing or paid acquisition channel management, with deep expertise in programmatic media — including hands-on work with DSPs (The Trade Desk, DV360), audience strategy and segmentation, signal testing, bid optimization, and campaign architecture across display, video, and native formats * SQL and advanced data analysis skills are required — we will assess this during the interview process * Strong analytical proficiency in Excel or equivalent tools; comfortable building performance models and synthesizing data into clear recommendations * Proven track record of designing and executing A/B tests, optimizing campaigns, and translating results into strategic decisions * Demonstrated ability to operate independently — you take full ownership of your channels and drive projects from inception to completion with minimal oversight * Comfortable working in a fast-paced environment and adapting quickly to shifting business priorities * AI Proficiency: creating custom agents, developing reusable skills/prompts, and integrating AI into day-to-day analytical and operational work to improve speed, quality, and scale 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.

Lyft

At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization. We have an ambitious goal to strengthen our international presence by growing a life-changing product, and your efforts will play an essential role in our collective success. Growth teams are at the heart of our products and decision-making to drive business growth. We’re looking for passionate, driven engineers to build systems that empower our users (both Drivers and Riders) to make the most effective use of Lyft’s products and experiences by making them more predictive, personalized, and adaptive. We’re looking for someone who can build & own innovative applications, passionate about solving problems with distributed computing in building reliable systems, and is excited about working in a fast-paced, innovative, and collegial environment. As a Senior Software Engineer, with your technical expertise you will build and own innovative applications with a desire to achieve exceptional design fidelity, usability, accessibility, and performance. You will be responsible for sound technical execution of projects through hands-on development, quality-assurance, and prototyping. These projects will require close collaboration with our product managers, user interface designers, brand producers, data scientists, and engineering teams. You’ll be managing multiple exciting projects at once, so being able to juggle these initiatives is key! We’re also counting on you to be a champion for best engineering practices, guiding engineers, designers, and management along the way. We are looking for candidates who are self starters and have a proven track record of delivering software solutions that can solve critical business needs. We’re looking for a candidate who thrives in tackling complex, ambiguous challenges and can craft effective technical solutions. You should be ready to take ownership of a project or feature, guiding it from design all the way through to implementation.  The Growth Platforms team owns both the Incentives & Messaging systems for Lyft. These systems determine & send the right messaging and/or incentives to the right user at the right time. We work with lyft-wide engineering teams including rider & driver teams, growth & product marketing, legal & compliance, and support teams to adapt our services and the platform offerings to be able to enable growth across Lyft. You will gain comprehensive knowledge of Lyft's internal services and operations and adapt them to meet the growth needs. You will have the opportunity to build and improve the quality and efficiency of the various growth tools that are critical for Lyft. RESPONSIBILITIES: * Help establish roadmaps and architecture based on technology and business needs * Unblock, support, effectively communicate, and obtain buy-in across teams to achieve results * Lead projects of multiple people from idea to positive execution * Write well-crafted, well-tested, readable, maintainable code * Utilize your expertise in Python, Golang, AWS, AI to deliver robust and scalable solutions * Participate in code reviews to ensure code quality and distribute knowledge  * Proactively participate in resolving ongoing incidents and oncall rotations  * Share your knowledge through tech talks, mentorship, and evangelizing appropriate tech and engineering best practices EXPERIENCE: * BS/MS or equivalent in Computer Engineering, Computer Science, or related field or relevant work experience * 5+ years of software engineering industry experience * Extensive experience in object oriented programming, ideally in Python or GoLang * Experience in backend software development of large-scale distributed systems, concurrency and NoSQL databases * Experience working with public cloud platforms (e.g., AWS, GCP, Microsoft Azure, etc.) * Successfully led the design and launch of multiple components from concept to production. * Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners BENEFITS: * Great medical, dental, and vision insurance options with additional programs available when enrolled * Mental health benefits * Family building benefits * Child care and pet benefits * 401(k) plan with company match to help save for your future * In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off * 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible * Subsidized commuter benefits * Monthly Lyft credits and complimentary Lyft Pink membership 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.

Lyft

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.  The Growth Products team drives rider and driver acquisition to scale the business and balance the marketplace. We specialize in incentive and messaging targeting, budget optimization, and paid media measurement, and move rapidly to test new ideas and products. As a Data Scientist expert in causal inference and marketing mix models (MMM), you will lead our efforts to measure and optimize investments across marketing channels. RESPONSIBILITIES: * Deliver results across the entire lifecycle of data science solutions for Growth: from defining the problem with cross-functional stakeholders to deploying production models that address key business problems. * Own complex domains and develop long-term roadmaps to maximize business impact. * Build statistical pipelines, write production code, and design/analyze experiments. * Participate in the science on-call rotation to ensure automated campaigns operate successfully. EXPERIENCE: * Advanced degree in statistics, economics, mathematics, or equivalent industry experience. * 4+ years of industry experience in causal inference or data science. * Proven ability to apply statistics to unstructured problems and deliver measurable results. * Deep technical expertise in causal inference and tackling challenging measurement problems. * Expertise in marketing mix modeling is highly preferred. * Expertise in SQL and experience with large-scale data platforms. * Proficiency in Python and working within production coding environments. 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.