Product Partnerships Manager Jobs

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Pricing team is a centerpiece of Lyft’s marketplace, determining prices for all rideshare products and supporting new initiatives. Dynamic Pricing & Offer Selection sits at the heart of Pricing, focused on determining optimal prices and ETAs in real-time and balancing supply and demand for our two-sided marketplace to drive both short-term and long-term conversion and retention. As an Applied Scientist specializing in Machine Learning and Operations Research on this team, you will develop mathematical models and launch algorithms that power these key pricing and ETA decisions. You will leverage your skills to build ML and optimization models and productionalize pipelines that can scale to millions of calls per day while solving critical business problems that have a big impact on the marketplace and rider experience. You will get exposure to a diverse set of real-world problems across optimization, prediction, machine learning, and inference and collaborate closely with teammates and stakeholders across Pricing, from Product Managers to Engineers and Analysts. We are looking for someone who is excited about working in a fast-paced, innovative, and impactful environment, and is adept at balancing complexity and efficiency to translate real world business problems into reliable solutions, systems and decision frameworks. Responsibilities Partner with Data Scientists, Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context Write production quality code. Design, build and deploy production-grade ML and Optimization models. Able to build custom methods and tooling beyond off-the-shelf libraries. Perform data analysis and build proof-of-concepts to explore and propose ML and Optimization solutions to both new and existing problems.&n

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 a global company that connects people to transportation to change the way we live and get around our communities. Our drivers and passengers entrust Lyft with their personal information and travel details to get where they are going and expect us to keep that data safe. Lyft's Privacy team is composed of engineers and analysts dedicated to ensuring appropriate data protections are applied to our drivers' and passengers' data. Our goal is to make privacy the default setting for our internal engineers and our customers. We help design architectures, build a scalable data platform, and define policies to reduce the exposure of user data and ensure appropriate privacy and security protections are applied across the company. We are looking for a highly motivated, collaborative, team-focused and technically strong Software Engineer to join our Privacy team. As a member of this team, you will design and build systems that make privacy the default at Lyft. Every day, you'll partner with engineering, product, legal, and compliance stakeholders on high-impact projects — from building data redaction pipelines to enabling users to exercise their privacy rights to deploying data management systems across a diverse set of Lyft services. You'll bring strong engineering instincts, a passion for privacy, and the ability to lead large projects from idea to execution. Responsibilities: Write well-crafted, well-tested, readable, and maintainable code Promote appropriate tech and engineering best practices Partner with teams across Lyft on organizational privacy initiatives Partner with senior engineers to design, build, and maintain systems that enhance privacy across the organization Independently lead tasks from idea to execution Participate in code reviews to ensure code quality and distribute knowledge Parti

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The Community Support Engineering (CSE) China Foundations team works together with our US partners to co-own the Community Support foundations systems, collectively empowering every step of the customer support journey. We're building the next-generation case management platform that gives a 360-degree view of every customer interaction, helping ambassadors resolve guest and host issues faster. At the same time, we're developing the centralized supervisor portal alongside agent quality systems that turn performance insights into actionable coaching signals. Our routing platform connects Airbnb customers to the right ambassador, through the right channel, at the right time. The team also provides AI-powered solutions to support TechOps around system inconsistencies and incidents to ensure high availability and reliability of critical CS flows. The Difference You Will Make: We are seeking an experienced Engineering Manager to lead the China Routing and Data Service team. In this role, you will: Ramp up on the team’s technology, product, and business goals, including hands-on work to develop a deep technical understanding. Lead, mentor, and grow a high-performing engineering team in a fast-paced environment. Foster a team culture that emphasizes product thinking, technical depth, and customer-centric problem solving. Drive and partner closely with teams across CSE to understand business cases and deliver intuitive, scalable routing and data solutions. Set clear priorities and strategic direction in collaboration with cross functional partners.. Improve team processes to strengthen coll

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: Airbnb’s mission is to create a world where anyone can belong anywhere. Airbnb Payments team supports this mission by economically empowering Airbnb businesses and our global community of guests and hosts. Payments is a core part of Airbnb’s business and guest/Host experience, operating across global markets, currencies, payment methods, regulatory environments, and partner integrations. We build and operate Airbnb’s in-house payments platform to support global scale, reliability, compliance, and product flexibility. The team works closely with Product, Design, Data Science, Finance, Legal, Compliance, Operations, and external payment partners to deliver trusted payment experiences for our community. The Difference You Will Make: As an Engineering Manager on Payments, you will lead one or more engineering teams responsible for building and operating critical payments systems. You will set clear team priorities, create an environment where engineers and technical leads can do their best work, and partner cross-functionally to deliver high-quality outcomes for Airbnb's guests, Hosts, and business. You will be expected to navigate complex and ambiguous problems, balance near-term execution with long-term platform health, and help define a roadmap tha

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Marketplace teams are at the heart of our products and decision-making, owning everything from rider pricing to driver earnings, incentives, and efficient matching. We’re looking for passionate, driven engineers to build systems that empower our riders and drivers to have the best transportation experience possible through prediction, adaptivity, and personalization. We’re looking for someone who is excited about working in a fast-paced, innovative, and impactful environment to create reliable solutions to distributed computing, ML, and data problems. The Pricing team is a centerpiece of Lyft’s Marketplace org, determining prices for all rideshare products and supporting new initiatives. We work with Product & Science to solve and implement complex pricing requirements, balancing the needs of riders, drivers, and the business goals. As an owner of one of the most critical flows in the company, you will work on a wide array of challenges such as latency-sensitive concurrency problems, large scale distributed systems, and experimentation. If you’re interested in playing a large part in demand / supply management and improving the Lyft customer experience, this could be a great fit for you. Responsibilities: Help define the roadmap 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 clear, scalable and clear design documentation Write well-crafted, well-tested, readable, maintainable code Utilize your expertise in Python, Golang, AWS to deliver robust and scalable solutions Participate in code reviews to ensure code quality and distribute knowledge Proactively participate in resolving ongoing incidents Share your kno

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Our mission depends on having a digital representation of the physical world - a map with all routing related (real-time) information. This is what makes Lyft different from many products: our products don’t just facilitate online interactions, they facilitate dynamic, real-world ones. Without mapping services, none of these real world interactions between people and transport can happen. The Mapping organization at Lyft has spent the last few years building up Lyft’s mapping assets and capabilities by combining many internal and external data sources and services into an increasingly powerful and mission-critical technology stack. In doing so, we’ve also enabled new user experiences and features across all of Lyft’s products, including rideshare industry leading firsts like CarPlay, Android Auto, and real-time driver feedback! We are hiring a Software Engineer to join our Mapping experiences team that builds end user features to enhance drivers and riders experience on Lyft’s platform by using our in house navigation system. We are looking for an engineer with expertise in system architecture, cross team collaboration, and experience in building scalable solutions in the cloud environments. In this role, you'll collaborate with engineering, product, data science, analytics, operations, and AI/ML teams on programs that empower us to iterate quickly, delighting our passengers and drivers with rideshare focused mapping experiences. Responsibilities: Drive high-impact projects and innovate new solutions to provide the best user experience Lead large features from idea to positive execution and launch Write well-crafted, well-tested, readable, maintainable code Participate in code reviews to ensure code quality and distribute knowledge, as well as on call rotations Share your knowledge by giving brown ba

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Safety and Customer Care (SCC) team at Lyft manages over 1.7 million monthly human and AI interactions and serves as Lyft's primary direct touchpoint with riders and drivers. We handle critical infrastructure that powers both human associates and AI agents to make riders and drivers feel safe and comfortable while riding or driving with Lyft, transforming every support interaction into a moment of genuine connection. As a Data Engineer on the SCC team, you will have ownership over the data modeling and pipelines that power SCC’s Associate and AI Agent Platform . Your efforts will be critical to the reliability of our pipelines, execution of third party data integrations, accurate reporting of agents performance, and efficiency improvements that can save millions of dollars / year. You will work cross-functionally to bridge Lyft's business goals with data engineering. Your efforts will allow access to business and user behavior insights, using huge amounts of Lyft data to fuel several teams such as Analytics, Data Science, Engineering, and many others. Responsibilities: Owner of the core data pipeline, responsible for scaling up data processing flow to meet the rapid data growth at Lyft Evolve data model and data schema based on business and engineering needs Implement systems tracking data quality and consistency Develop tools supporting self-service data pipeline management (ETL) SQL and MapReduce job tuning to improve data processing performance Write well-crafted, well-tested, readable, maintainable code Participate in code reviews to ensure code quality and distribute knowledge Collaborate cross-functionally with product, engineering, data science, and marketing teams to understand business problems and align on prioritization and solutions Experience: Bachelor's degree in Compute

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. As a Staff Android Engineer, on the Rider App group in the Rider org, you will work on one of Lyft’s most critical Rider flows. The Rider App group is responsible not only for the critical flows in the app but also the app platform and quality. We build and iterate on rider facing products that not only ensure a seamless experience for our riders, but also aim to build and deepen Rider-Lyft relationships. As an experienced app developer you will be solving complex problems, delivering significant impact and ensuring excellence for the Rider Android team. This means excellent development practices, scalable and reliable code architecture, and safe, rapid releases. You will not only influence the architecture, platform, processes but also influence the culture and coach, guide engineers across the group. Responsibilities: Work across our product teams to design, build, and release exciting features and products in the Lyft Rider application, used by millions of people every day Define long term roadmap and architecture based on technology and our needs Oversee major changes to our Android architecture Work with Product Managers, Designers, and other Engineers to deliver best in class user experience and collaborate closely with local and global colleagues Continuously discover, evaluate and implement new technologies to maximize developer efficiency Mentor and support other developers on your team with code reviews, design feedback, and advice and guidance Solve complex real-time data transfer and synchronization issues Implement pixel perfect designs with advanced interactions, which are a joy to use Experience: 6+ years of experience as an Android developer Experience with leading a technical team is a bonus Advanced knowledge of Java and Kotlin Familiarity with RxJav

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 a global company that connects people to transportation to change the way we live and get around our communities. Our drivers and passengers entrust Lyft with their personal information and travel details to get where they are going and expect us to keep that data safe. Lyft's Privacy team is composed of engineers and analysts dedicated to ensuring appropriate data protections are applied to our drivers' and passengers' data. Our goal is to make privacy the default setting for our internal engineers and our customers. We help design architectures, build a scalable data platform, and define policies to reduce the exposure of user data and ensure appropriate privacy and security protections are applied across the company. We are looking for a highly motivated, collaborative, team-focused and technically strong Senior Software Engineer to join our Privacy team. As a member of this team, you will design and build systems that make privacy the default at Lyft. Every day, you'll partner with engineering, product, legal, and compliance stakeholders on high-impact projects — from building data redaction pipelines to enabling users to exercise their privacy rights to deploying data management systems across a diverse set of Lyft services. You'll bring strong engineering instincts, a passion for privacy, and the ability to lead large projects from idea to execution. Responsibilities: Design, build, and maintain systems that enhance privacy across the organization Independently lead large projects from idea to execution Advocate for user privacy throughout the organization, consulting engineering teams throughout the software development lifecycle and escalating potential privacy concerns Write well-crafted, well-tested, readable, and maintainable code Participate in code reviews to ensure code quality

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. Core Services powers the passenger and driver state machines from request and accept through drop-off and payment completion. The team enables new ride variations like autonomous vehicles, taxis, scheduled, business concierge, health and more. The “Core Services” are a suite of distributed Python and Golang systems central to Lyft’s backend. As a software engineer on the team, you will work on integrating new rider and driver products and features onto the state machine and enhancing the performance and reliability of ride state transitions. If you are excited about solving back-end distributed systems problems and owning a mission-critical part of Lyft’s operations, this team is for you. As a Software Engineer at Lyft, you will collaborate with other engineers and cross-functional teams, such as product, data science, and analytics, to lead and execute large projects—from concept to efficient execution. We are looking for motivated engineers who are passionate about solving challenging technical problems and excited to work in a fast-paced, innovative, and cross-functional environment. In this role, you will tackle some of the most interesting and impactful problems in ridesharing. Key traits for success include being passionate about Lyft’s business and product, a quick learner, a collaborative mindset, and an eagerness to drive initiatives both within and across teams. You'll be joining a small, close-knit team with engaged and collaborative co-workers. Responsibilities: Design, develop, deploy, monitor, operate and maintain existing or new elements of the Fulfillment tech stack 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 knowledg

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Pricing team is a centerpiece of Lyft’s marketplace, determining prices for all rideshare products and supporting new initiatives. Dynamic Pricing & Offer Selection sits at the heart of Pricing, focused on determining optimal prices and ETAs in real-time and balancing supply and demand for our two-sided marketplace to drive both short-term and long-term conversion and retention. As an Applied Scientist specializing in Machine Learning and Operations Research on this team, you will develop mathematical models and launch algorithms that power these key pricing and ETA decisions. You will leverage your skills to build ML and optimization models and productionalize pipelines that can scale to millions of calls per day while solving critical business problems that have a big impact on the marketplace and rider experience. You will get exposure to a diverse set of real-world problems across optimization, prediction, machine learning, and inference and collaborate closely with teammates and stakeholders across Pricing, from Product Managers to Engineers and Analysts. We are looking for someone who is excited about working in a fast-paced, innovative, and impactful environment, and is adept at balancing complexity and efficiency to translate real world business problems into reliable solutions, systems and decision frameworks. Responsibilities Partner with Data Scientists, Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context Write production quality code. Design, build and deploy production-grade ML and Optimization models. Able to build custom methods and tooling beyond off-the-shelf libraries. Perform data analysis and build proof-of-concepts to explore and propose ML and Optimization solutions to both new and existing problems.&n

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The vision of the Safety & Customer Care (SCC) team is to foster long-term loyalty to Lyft with every support interaction. If we are successful, a Lyft customer will rarely interact with Lyft Support. But when that interaction occurs, their issue is resolved quickly, effectively, and with true care. For a Lyft customer, their experience of Support should be that “Lyft cares about me and made the experience easy.” As a Data Analytics Lead, you’ll partner directly with cross-functional stakeholders to identify opportunities and design solutions for improving our customers’ support experience. You’ll leverage your analytical expertise to deliver actionable insights and recommendations to drive quality business decisions with customer-facing impact. The ideal candidate is a critical thinker and exceptional problem solver who can build strong relationships with different teams, and who is eager to serve as a leader within the broader Support organization to drive our business forward. Responsibilities Partner with Product, Engineering, Data Science & Analytics, Business Operations and other cross-functional stakeholders to achieve business goals Develop frameworks and scalable processes to drive decision-making and prioritization Define the metrics used to measure the success of strategic initiatives and health of our support platform; build dashboards to track metrics over time Design A/B tests and execute analyses to evaluate the impact of new product features and operational improvements Work closely with cross-functional partners to deliver data-driven insights and actionable recommendations for continuously improving the customer support experience Monitor and diagnose KPI performance and present findings to senior leadership Experience Degree in a quantitative field like statisti

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 in a rapidly growing domain with a lot of data and creative solutions in Marketplace, Mapping, Fraud, Growth and beyond. Building a next-generation platform for low-cost, ultra-immersive transportation to improve people's lives requires robust, scalable software systems operating at massive scale. Our highly motivated Software Engineers work on these challenging problems and build the systems that directly impact various aspects of our core business. If you are a critical thinker with experience building software systems, passionate about solving business problems through well-crafted code and working in a dynamic, creative, and collaborative environment, we are searching for you. As an associate software engineer, you will be designing, building, and launching the services that power the platform's core products. Compared to similarly-sized technology companies, the set of problems that we tackle is incredibly diverse. They cut across transportation, distributed systems, backend services, mapping, personalization, and real-time infrastructure. We are hiring motivated engineers across each of these areas. We're looking for someone who is passionate about solving problems with code, building reliable and maintainable systems, and is excited about working in a fast-paced, innovative, and collegial environment. You will report to a Software Engineering Manager. Responsibilities: Partner with Engineers, Data Scientists, Product Managers, and Business Partners to build software for business and user impact Perform technical analysis and build proof-of-concept prototypes to explore and propose solutions to both new and existing problems Design and develop software components, services, and APIs Write production quality code to launc

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The community you will join: At Airbnb, the Growth Marketing team sits at the dynamic crossroads of marketing, engineering, and data science. We’re responsible for driving Airbnb’s business performance by deploying innovative, data-driven marketing strategies. The difference you will make: As Growth Marketing Lead, you’ll have a unique opportunity to shape Airbnb’s growth narrative in Japan. You’ll be the champion for Growth Marketing channels, translating strategic vision into actionable plans and flawless execution. You’ll identify and prioritize high-impact opportunities, manage complex cross-functional projects, and collaborate with global and regional teams. Your leadership will ensure not only the ongoing success of our core marketing programs, but also the discovery of new areas of growth for your market. Your responsibilities: Develop and Execute Growth Marketing Strategies: Identify and incorporate local nuances to infuse authentic local flavor into Growth Marketing initiatives, ensuring strategies are tailored to resonate with local cultures, preferences, and market conditions. Cross-Functional Leadership: Build strong relationships with regional and global teams, setting and managing expectations effectively to deliver measurable business impact. Establish and optimize operating rhythm and ways of working. Project Management: Partner closely with Regional Marketing, Engineering, Product, Data Science, and Creative teams to align on priorities, shape product roadmaps, and lead the planning and execution of Growth Marketing initiatives—ensuring flawless delivery, clear accountability

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The Unified Data Store (UDS) team is the architect of Airbnb’s global system-of-record. We design, build, and operate the mission-critical storage platform that powers every user profile, listing, reservation, and financial transaction on the platform. Supporting over 150 million users worldwide, our work is the bedrock of Airbnb’s reliability and efficiency. As a Staff Engineer in our Brazil Engineering Hub , you will join a high-impact group of technical leaders who value craft and operational excellence. You won't just be managing data; you will be building a modern distributed infrastructure service that enables hundreds of product teams to ship features with total confidence. The Difference You Will Make: We are looking for a hands-on technical leader who thrives on solving deep architectural challenges and leading through ambiguity. As a Staff Engineer, you will serve as the Technical North Star for the UDS Client Stack, ensuring our data access layer is seamless, high-performance, and future-proof. A Typical Day: Define Technical Strategy: Lead the multi-year roadmap and long-term architecture for the UDS client stack, balancing immediate execution with systemic platform evolution. Architect for Scale: Design and operate a high-performance data access layer that abstracts complexities like indexing, replication, and global consistency models. Drive Engineering Excellence: Lead deep-dive design reviews and establish best practices for building fault-tolerant distributed systems across the organization. Empower Developers: Act as a bridge between infrastructure and