Engineering 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. Lyft AV brings the autonomous future to life by matching our community of riders with self-driving vehicles to meet their transportation needs today. The program is powered by a technical team innovating to build new features, experiment, and evolve approaches for emerging business needs. At the same time, we prioritize production quality because our customers put their trust in us for safety and reliability. As a Software Engineer for Autonomous Vehicles, you’ll be responsible for executing integrations with partners, making tradeoffs between technical investments and product work, and collaborating with other engineers on system design. You will help shape the product direction by developing a deep understanding of the customer and working closely with cross-functional partners from Product, Design, Science, and Operations. You will work with a group of talented engineers and help the team to deliver significant business impact while being open to change through constant experimentation in an ambiguous emerging product. If you enjoy collaborating with technical and nontechnical partners in a fast-moving space with real-world impact, this is the role for you. Responsibilities: Help establish roadmap and architecture based on technology and understanding of customer needs Write well-crafted, well-tested, readable, 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 Can help lead large projects from idea to positive execution Unblock, support and communicate with internal partners to achieve results Experience: BS/MS or equivalent in Computer Engineering, Computer Science, or related field or relevant work experience Experience in distributed sy

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. Data and analytics are at the heart of Lyft's products and decision-making. As a member of the Lyft Urban Solutions team, you will play a key role in shaping the future of bike & scooter share by leveraging data to improve the performance of our bikeshare and scooter markets across America. A successful candidate thrives in a dynamic and collaborative environment, has a natural curiosity, and isn’t afraid to dive deep. In this role, you will collaborate closely with Operations, Hardware, Software, Product and Finance teams to identify opportunities and gaps in performance. You will work in a fast-paced environment where your analytical insights will directly impact strategic decisions around hardware product development, staffing, and product changes, ultimately driving better performance and long-term investments in micromobility infrastructure. We’re looking for a passionate and driven Data Analyst to tackle some of the most complex and impactful challenges in micromobility. If you’re excited about shaping the future of urban mobility through data, we’d love to hear from you. Responsibilities: Partner with Product, Engineering, Data Science & Analytics, Operations, Finance and other cross-functional stakeholders on initiatives to improve operational performance Develop frameworks and scalable processes to streamline reporting, drive decision-making and prioritization Forecast operational requirements needed to maintain high service levels and meet contractual and financial targets Work with our bike & scooter share markets to deliver ongoing support and deep dive analyses on performance; monitor and diagnose performance and present findings to key stakeholders Collaborate with cross-functional teammates to tackle complex problems including: asset maintenance, system health and labor for

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. NOTE: NO VISA SUPPORT The Community You Will Join: The Global Markets engineering team is focusing on evolving our guest and host experience for global markets through new product initiatives to accelerate international growth. Expanding in under-penetrated global markets is a key pillar of our company's growth strategy. To achieve this, we want to innovate in every sense of the word and adapt our product to every corner of the globe. We want every user in each of our 220+ countries and regions to feel right at home. We are a remote team based in different cities in China, and we meet up in person regularly to collaborate, connect and celebrate. The Difference You Will Make: As a senior iOS engineer on the mobile team, you will tackle the unique technical challenges of building for global markets — locale-aware UI, market-specific features and integrations, and performance optimization across diverse conditions. You will work on projects spanning the full product surface, from signup/login, search, PDP, checkout, and reviews to foundational components like maps, networking and logging. You

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: “ Our real innovation is not allowing people to book a home; it’s designing a framework to allow millions of people to trust one another. Trust is the real energy source that drives Airbnb… ” - Brian Chesky, Airbnb Co-Founder & CEO (2019) Data science is the engine behind Airbnb's most impactful decisions. The Platform Data Science team accelerates product evolution and business outcomes by combining scientific rigor with deep domain expertise, spanning experimentation, machine learning, causal inference and scalable intelligence. We partner closely with product, engineering, policy, and operations teams across Trust to detect and defend against the adversarial behavior that threatens guest and host trust: fraudulent listings and fake inventory, review and content manipulation, account takeover, and other bad-actor activity on the platform. Whether measuring the impact of a new listing integrity defense, modeling risk at the listing or account level, or evaluating the effectiveness of an enforcement policy, our work helps guests and hosts experience an Airbnb that is safer, smarter and more personalized. The Difference You Will Make: This role sits at the heart of some of Airbnb's most consequential data science challenges, where rigorous statistical thinking and applied ML directly shape platform outcomes. You will own high-visibility initiatives that require both technical depth and strong business judgment - work that is visible to leadership and has measurable impact on Airbnb's users and bottom line. A Typical Day: The ideal candidate is a technically exce

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 Cities team leads the work necessary to implement the regulatory products and processes needed globally to comply with regulations, and does so in a manner that also sustainably supports Airbnb’s growth. The Difference You Will Make: As a Senior Regulatory Operations Lead, you are entrusted with shaping and steering Airbnb’s regulatory strategy by driving global high-impact regulatory initiatives. You bring deep regulatory expertise, proven strategic foresight, and operational excellence that will ensure our regulatory products not only meet evolving legal requirements, but also enable innovation, trust, and sustainable growth. In this role, you will anticipate regulatory trends, translate ambiguous mandates into scalable product solutions, and serve as a trusted advisor to senior leadership—ultimately strengthening Airbnb’s reputation and resilience in a rapidly changing regulatory landscape. A Typical Day: Strategic Regulatory Leadership: Anticipate and interpret global regulatory developments, providing strategic guidance to senior leadership on potential impacts and opportunities. Develop and implement proactive product strategies to navigate complex regulatory landscapes.​ Cross-Functional Collaboration: Partner with cross-functional teams such as Engineering and Product to implement regulatory products that address the changing landscape, and anticipate future trends .​ Regulatory Program Oversight: Design and oversee comprehensive regulatory product programs, ensuring adherence to applicable regulations, and industry standards. Monitor program effectiveness and make

Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. We are looking for a Senior Software Engineer specializing in Machine Learning to join our Revenue ML team at Discord. This team partners with our revenue product groups, focusing on both consumer revenue and our emerging Ads initiative. This role will specifically contribute to our Ads ML efforts, helping to build and scale ML capabilities in areas such as ads measurement, targeting, and delivery ranking. As part of this team, you will play a critical role in developing foundational ML models that enhance ad relevance, optimize performance, and drive revenue. This is a unique opportunity to work on an early-stage Ads ML platform and have a direct impact on the business's success. Our tech stack includes Python, ML frameworks like PyTorch and TensorFlow, large-scale data infrastructure, and real-time ad-serving technologies. What You'll Be Doing: Design, develop, and deploy machine learning models for ads targeting and ranking. Develop sophisticated ML solutions such as identity graph to enhance ad targeting. Build and optimize ad ranking models to serve the most effective ads based on campaign objectives (e.g., app installs, link click). Improve ads targeting and ranking by leveraging both on-platform and off-platform signals. Collaborate cross-functionally with product, engineering, and business teams to define and execute on the Ads ML roadmap. Scale our ML infrastructure to support an increasing number of concurrent ad campaigns while ensuring low-latency decision-making. Drive research and implementation of state-of-the-art ML techniques in the field of online advertising. What You Should Have: 5+

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. Location This position needs to be based in the Beijing, China office 3 days a week. No Relocation and Visa Support The Community You Will Join The Notifications team at Airbnb is dedicated to designing and building the core notification systems that deliver seamless and effective notification experiences to our guests and hosts globally. We collaborate with product teams across the company to understand notification needs and empower them through scalable solutions. By leveraging modern technology and thoughtful governance, we strive to enhance guest and host engagement, minimize user fatigue, and drive meaningful business outcomes. The Difference You Will Make We are looking for backend engineers who are passionate about building reliable systems and delivering user impact through their work. You will work in a global collaboration environment to turn product and engineering ideas into production systems. You will contribute to the development and evolution of our notification platform, help improve delivery timing and channel selection, and build scalable solutions that support

Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. Discord is used by over 200 million people every month for many different reasons, but there’s one thing that nearly everyone does on our platform: play video games. Over 90% of our users play games, spending a combined 1.5 billion hours playing thousands of unique titles on Discord each month. Discord plays a uniquely important role in the future of gaming. We are focused on making it easier and more fun for people to talk and hang out before, during, and after playing games. Game Records are the core of our gaming conversation. It is the fuel that drives the most popular gaming features on Discord, and allows us to unlock new experiences for users and opportunities for game developers. The Game Records team is directly responsible for “source of truth” systems that drive detection and safeguard metadata for hundreds of thousands of games. This puts our team in a position to consult and participate in some of the biggest features, partnerships and game-related launches at Discord. Our engineering culture values collaboration, and this is exactly how this team works. Come and join us! What You'll Be Doing Engage with developers, game studios and other partners to find opportunities and address challenges towards providing a more rich experience for players while gaming and engaging with online communities. Partner with other internal teams to design, build, and maintain features that help users connect and make friends through gaming on our platform, across desktop and mobile. Expand and safeguard our growing collection of games and game-related metadata, that helps drive nearly every gaming

Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. Discord's Legal team is growing its Security GRC function, and we're looking for a Security Analyst to help run and scale it. You'll own the day-to-day engine of the program: the questionnaires, risk tracking, analyses, tooling, and documentation that keep compliance moving. As we build, that's a mix of hands-on work today and the systems that shrink it over time, because we'd rather automate a control than babysit it. We care about the right level of compliance for Discord, our users, and our customers. You'll partner across Security, Engineering, IT, and Legal to make compliance feel friction-free, even invisible, rather than something teams have to fight. What you'll be doing Run the customer security questionnaire program end-to-end, from intake through response, and grow a reusable answer library that turns repeat questions into fast, near-self-service answers. Operate risk and control workflows: triage incoming risks, track gap closure and risk treatment through to completion, and keep the risk register accurate and current. You'll be the first point of contact for partner teams, resolving routine questions and escalating the ones that need senior judgment. Run GRC analyses that turn into decisions: how standards, procedures, and controls align to our policies and framework requirements; where the gaps are; and how mature and effective our controls actually are. Build and maintain the GRC toolchain and its automation: administer our GRC platform, ticketing, and knowledge bases, and design the integrations and workflows that collect evidence and check controls by default rather than by hand. Create

Role Description Dropbox is building the knowledge layer that connects content, context, and action. As AI moves from assistants to systems that act, the structure and stewardship of enterprise knowledge becomes the difference between AI that helps and AI that fails. This role owns the context layer our AI depends on: what it can know, what it can trust, and what it is allowed to act on. You will lead the central function, setting the strategy, architecture, standards, and operating model that make enterprise knowledge reliable, current, and permissions-aware for both human and AI use, while domain experts stay accountable for the accuracy of their content. AI capability changes quickly, and this role changes with it. What a model can interpret, how content needs to be structured for retrieval, and what a system can safely act on all shift as the technology moves. You will track those shifts, translate them into practical standards, and revise your own past decisions when the ground moves under them. This is the first role of its kind at Dropbox. You will partner with IT, Engineering, Legal, Privacy, and Security, and your decisions will show up directly in how AI performs across the company. Responsibilities Define the source-of-truth strategy for enterprise knowledge: which systems are authoritative, what is indexed centrally versus fetched live, what is eligible for AI use, and what is archived or excluded, informed by an assessment of the authoritative sources behind our highest-value workflows. Define the enterprise standards that make content AI-ready across structure, metadata, provenance, and access, including where semantic models or knowledge graphs are warranted and where they are not, and translate them into authoring patterns adopted across domains. Design the control model for AI actions, including eligibility rules, preconditions, approval boundaries, escalation paths, and rollback requirements, so systems that act on enterprise knowledge stay traceab

Role Description Dropbox is building the knowledge layer that connects content, context, and action. As AI moves from assistants to systems that act, the structure and stewardship of enterprise knowledge becomes the difference between AI that helps and AI that fails. This role owns the context layer our AI depends on: what it can know, what it can trust, and what it is allowed to act on. You will lead the central function, setting the strategy, architecture, standards, and operating model that make enterprise knowledge reliable, current, and permissions-aware for both human and AI use, while domain experts stay accountable for the accuracy of their content. AI capability changes quickly, and this role changes with it. What a model can interpret, how content needs to be structured for retrieval, and what a system can safely act on all shift as the technology moves. You will track those shifts, translate them into practical standards, and revise your own past decisions when the ground moves under them. This is the first role of its kind at Dropbox. You will partner with IT, Engineering, Legal, Privacy, and Security, and your decisions will show up directly in how AI performs across the company. Responsibilities Define the source-of-truth strategy for enterprise knowledge: which systems are authoritative, what is indexed centrally versus fetched live, what is eligible for AI use, and what is archived or excluded, informed by an assessment of the authoritative sources behind our highest-value workflows. Define the enterprise standards that make content AI-ready across structure, metadata, provenance, and access, including where semantic models or knowledge graphs are warranted and where they are not, and translate them into authoring patterns adopted across domains. Design the control model for AI actions, including eligibility rules, preconditions, approval boundaries, escalation paths, and rollback requirements, so systems that act on enterprise knowledge stay traceab

Role Description Dropbox’s Design team is looking for a Principal Designer to help define the future of content activation for Dropbox customers. In this role, you will help lead the design vision and execution for Dropbox’s portfolio of products and services. As a Principal Designer, you will shape how AI helps customers get their jobs done faster, better, and with greater confidence. Dropbox holds the content, context, and collaboration that power our customers’ most important work. This role is about designing AI experiences that activate that content in useful, intuitive, and trustworthy ways, helping customers find clarity, make progress, and take action without adding complexity or friction. We believe AI should sharpen our customers, not replace their judgment. You will be responsible for creating experiences where AI acts as a thoughtful partner: surfacing what matters, reducing busywork, connecting ideas, and helping people move from information to action, while keeping customers in control. The best experiences will feel elegant, precise, and almost invisible; AI should make Dropbox more powerful without making it feel more complicated. This role requires a designer with exceptional craft, strong product judgment, and the ability to operate across strategy, systems, and execution. You will translate emerging AI capabilities into high-trust, “it just works” product experiences, while raising the quality bar for the broader design organization. You will also help transform the team into AI-enabled designers, setting new standards for how we use AI in our own design process, how we prototype, how we explore, and how we deliver customer value. You will partner closely with Product, Engineering, Research, Marketing, and Design leadership to shape not only what we build, but how we build it. This is a critical role for Dropbox’s AI-first, multi-product future, and for defining the next generation of product experiences that help customers do their best work. Res

Role Description Dropbox’s Design team is looking for a Principal Designer to help define the future of content activation for Dropbox customers. In this role, you will help lead the design vision and execution for Dropbox’s portfolio of products and services. As a Principal Designer, you will shape how AI helps customers get their jobs done faster, better, and with greater confidence. Dropbox holds the content, context, and collaboration that power our customers’ most important work. This role is about designing AI experiences that activate that content in useful, intuitive, and trustworthy ways, helping customers find clarity, make progress, and take action without adding complexity or friction. We believe AI should sharpen our customers, not replace their judgment. You will be responsible for creating experiences where AI acts as a thoughtful partner: surfacing what matters, reducing busywork, connecting ideas, and helping people move from information to action, while keeping customers in control. The best experiences will feel elegant, precise, and almost invisible; AI should make Dropbox more powerful without making it feel more complicated. This role requires a designer with exceptional craft, strong product judgment, and the ability to operate across strategy, systems, and execution. You will translate emerging AI capabilities into high-trust, “it just works” product experiences, while raising the quality bar for the broader design organization. You will also help transform the team into AI-enabled designers, setting new standards for how we use AI in our own design process, how we prototype, how we explore, and how we deliver customer value. You will partner closely with Product, Engineering, Research, Marketing, and Design leadership to shape not only what we build, but how we build it. This is a critical role for Dropbox’s AI-first, multi-product future, and for defining the next generation of product experiences that help customers do their best work. Res

About Us Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X , and discover the projects we’re solving on our Blog . Be sure to explore our Interviewing Guide to learn how to ace our interview process. About the Role Join the Monetization team at Twitch, where we build the products that help creators make a living on the platform. You'll work on products like Subscriptions, Bits, and Gifting, and the pricing and packaging decisions behind them. You'll partner closely with product, engineering, finance, and data teams to measure the impact of new features, design and analyze experiments, and apply causal inference methods to inform decisions where A/B testing isn't possible. The work ranges from high-velocity experimentation on consumer-facing products to deeper pricing, policy, and segmentation analyses where causal identification is the central challenge. This role is well-suited for someone with a strong economics or causal ML foundation who wants to apply rigorous statistical thinking to real product decisions at scale. You'll need to be comfortable writing SQL, working with imperfect data, and partnering with stakeholders to turn analysis into product impact. Our team is based at Twitch HQ in San Francisco, CA. You can work in San Francisco, CA; New York, NY; or Seattle, WA You Will: Apply causal inference methods where experimentation isn't feasible Develop models and analyses that inform pricing, segmentation, and revenue optimization Design, run, and analyze A/B experiments Pa