Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . We're hiring a Senior Software Engineer, Frontend to join the Consumer Payments team within the Consumer Product Group . This team owns the infrastructure, experiences, and controls that power how millions of users send, receive, and move crypto on Coinbase. You'll own critical user journeys across web and mobile, building fast, reliable, and delightful payment flows while mentoring junior engineers and driving down customer friction at scale. What you’ll do: Own end-to-end frontend development for core crypto money movement experiences, including send, receive, and transaction status tracking across web and mobile Drive measurable improvements in CUJ latency, availability, and SLOs for the payment flows you own Build new user-facing features - such as contact management systems and real-time transaction status trackers Partner with product, design, and backend engineering to scope, prioritize, and ship projects that reduce CX contact rates and improve the customer experience Identify and resolve frontend performance bottlenecks across payment flows, reducing end-to-end latency and improving reliability for millions of users Required skills and experience: 5+ years of software engineering experience with deep expertise in React and React Native Proven track record of shipping consumer-facing products end-to-end in a high-scale environment, with a focus on perfo
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Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Senior Staff Software Engineer on the Data Platform team within Platform , you'll define and lead the technical strategy for Coinbase's data infrastructure, spanning ingestion, transformation, warehousing, streaming, and serving systems. This is a foundational role at the intersection of distributed systems, data engineering, and AI-readiness, reporting to the Senior Director of Engineering. You'll set architectural direction, drive multi-quarter roadmaps, and transition the organization from managed-service dependency toward engineering-built, platform-grade infrastructure that powers everything from fraud detection to modern multi-agent AI architectures. What you'll do: Own the technical strategy and architecture for Data Platform, setting direction across data ingestion, transformation, warehousing, streaming, and serving systems while driving engineering-led cost reduction at the infrastructure layer. Architect data infrastructure to natively support AI and ML workloads, ensuring pipelines, data lake systems, and compute can power ML training, feature stores, real-time inference, and multi-agent AI architectures at scale. Drive the evolution to near-real-time data availability, enabling downstream teams across Coinbase to act on fresher data for fraud detection, financial reporting, and analytics. Build alignment and secure commitment from senior leadership
Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Senior Software Engineer on the Risk Engineering team within the Consumer & Business group, you'll build and optimize the systems that detect and prevent fraud, manage credit and market risk, and protect millions of users from financial threats in real time at crypto-market scale. You'll provide technical leadership for end-to-end projects, drive architectural decisions that shape our risk detection and mitigation systems, and deliver complex features from inception through production. Your work directly reduces financial loss and keeps Coinbase users safe. What you'll do: Lead the design and delivery of complex risk platform features end-to-end, from architecture through implementation, deployment, and monitoring, with stringent requirements for correctness, performance, and reliability Drive architectural decisions that shape Coinbase's risk detection and mitigation systems, translating ambiguous business requirements into scalable working architectures that balance fraud prevention with user experience Partner cross-functionally with Data Science, ML, Risk Analysts, Product, and Compliance teams to build proactive systems (real-time decisioning engines, model-driven fraud detection) and reactive solutions (incident response tooling, compliance-driven risk controls) Build AI-native risk systems that leverage fleets of agents to automate complex detection a
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 Luxury team builds rich and creative features that set the standard for the ride-sharing industry. We're looking for a motivated Senior Engineering Manager to lead the team building app experiences, UIs, and infrastructure for Black, Black SUV, and other upmarket modes where quality is uncompromising. As a Senior Engineering Manager, you'll set the technical direction for the team, making tradeoffs between technical investments and product work, and communicating strategy transparently to your team and to leadership. You'll act as a critical technical leader across backend, frontend, iOS, and Android, taking holistic ownership of complex systems, defining strategic roadmaps, and driving cross-functional alignment and engineering excellence to improve the luxury experience. Ownership is a key quality for this team. You should be driven to track projects to successful completion and beyond, taking initiative to work with other teams and functions to ensure your team's work reaches users and drives impact. You'll also help shape product direction by developing a deep understanding of the customer. You'll lead a group of talented engineers, helping the team deliver business impact while staying open to change through constant experimentation. You'll collaborate with engineering, product, data science, design, and operations on programs that empower the team to iterate quickly, delighting our passengers and drivers. If you enjoy collaborating with technical and nontechnical partners on a product with real-world impact, this is the role for you. Responsibilities: Lead a team of talented backend, frontend, and mobile engineers and engineering managers who like to ship code and tackle hard engineering problems Mentor and guide the professional and technical development of your team members. Help d
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 a billion rides per year and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creative solutions in Rider, Marketplace, Growth, and beyond. While traditional approaches to optimization and problem decomposition are sufficient to disrupt transportation, building a next-generation platform for low-cost, ultra-immersive transportation to improve people's lives warrants modern ML utilizing peta-byte scale data. Our highly motivated Machine Learning Engineers work on these challenging problems and define solutions to directly impact various aspects of our core business. If you are a critical thinker with experience in machine learning workflows and LLMs, passionate about solving business problems using data and working in a dynamic, creative, and collaborative environment, we are searching for you. We are seeking a Senior Machine Learning Engineer to join the Rider Applied AI team and lead the design, development, and deployment of state-of-the-art machine learning and artificial intelligence systems. This role requires a strategic thinker who can balance high-level system architecture with hands-on technical implementation. You will collaborate across teams to shape the future of ride-sharing by leveraging AI, Machine learning and Data science. Responsibilities: Model Development & Research: Design, build, and deploy machine learning models for real-time applications, including translating state-of-the-art research into production-ready solutions. System Design: Architect scalable, reliable ML pipelines that integrate seamlessly with existing backend systems. Innovation & Applied Research: Stay ahead of the curve by exploring emerging algorithms, technologies (such as LLMs and LLM-based applications), and frameworks — critically eva
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 a billion rides per year and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creative solutions in Rider, Marketplace, Growth, and beyond. While traditional approaches to optimization and problem decomposition are sufficient to disrupt transportation, building a next-generation platform for low-cost, ultra-immersive transportation to improve people's lives warrants modern ML utilizing peta-byte scale data. Our highly motivated Machine Learning Engineers work on these challenging problems and define solutions to directly impact various aspects of our core business. If you are a critical thinker with experience in machine learning workflows and LLMs, passionate about solving business problems using data and working in a dynamic, creative, and collaborative environment, we are searching for you. We are seeking a Senior Machine Learning Engineer to join the Rider Applied AI team and lead the design, development, and deployment of state-of-the-art machine learning and artificial intelligence systems. This role requires a strategic thinker who can balance high-level system architecture with hands-on technical implementation. You will collaborate across teams to shape the future of ride-sharing by leveraging AI, Machine learning and Data science. Responsibilities: Model Development & Research: Design, build, and deploy machine learning models for real-time applications, including translating state-of-the-art research into production-ready solutions. System Design: Architect scalable, reliable ML pipelines that integrate seamlessly with existing backend systems. Innovation & Applied Research: Stay ahead of the curve by exploring emerging algorithms, technologies (such as LLMs and LLM-based applications), and frameworks — critically eva
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 Infrastructure builds the systems to ship stable, scalable, and efficient services. We're hiring a Senior Technical Program Manager to lead our AI transformation in developer productivity: rethinking how engineers at Lyft work with AI, from tooling and agentic workflows to the platforms that make them possible. This role blends program delivery with product sense: you'll own the roadmap for your area, set priorities, and act as the voice of the customer. Responsibilities: Lead Lyft's AI transformation in developer productivity: shape the strategy for how AI enhances engineering workflows, from adoption of tools like Cursor, Copilot, and Claude Code to building AI-native workflows and agentic tooling for engineers Own the roadmap: sequence the work, make the prioritization calls, and define what success looks like for AI-driven engineering productivity at Lyft Partner with engineering teams to build AI-native workflows that solve real developer pain, not just deploy tools for the sake of it Run programs end to end, from kickoff through delivery, coordinating across infrastructure, developer platforms, and engineering leadership Be the voice of the customer: partner with engineering teams across Lyft, surface their pain points, and feed that back into priorities and roadmaps Define success metrics and adoption goals, gather and document customer requirements, and make sure what ships actually solves the problem Partner with engineering and infrastructure leads to build plans, call out risks early, and keep stakeholders aligned Own program health: track milestones, surface blockers before they slip, and keep decision-makers in the loop Use your technical background to ask sharp questions and build plans the team believes in Share in the team's release oncall rotation Experience: 5+ years in Technic
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 Infrastructure builds the systems to ship stable, scalable, and efficient services. We're hiring a Senior Technical Program Manager to lead our AI transformation in developer productivity: rethinking how engineers at Lyft work with AI, from tooling and agentic workflows to the platforms that make them possible. This role blends program delivery with product sense: you'll own the roadmap for your area, set priorities, and act as the voice of the customer. Responsibilities: Lead Lyft's AI transformation in developer productivity: shape the strategy for how AI enhances engineering workflows, from adoption of tools like Cursor, Copilot, and Claude Code to building AI-native workflows and agentic tooling for engineers Own the roadmap: sequence the work, make the prioritization calls, and define what success looks like for AI-driven engineering productivity at Lyft Partner with engineering teams to build AI-native workflows that solve real developer pain, not just deploy tools for the sake of it Run programs end to end, from kickoff through delivery, coordinating across infrastructure, developer platforms, and engineering leadership Be the voice of the customer: partner with engineering teams across Lyft, surface their pain points, and feed that back into priorities and roadmaps Define success metrics and adoption goals, gather and document customer requirements, and make sure what ships actually solves the problem Partner with engineering and infrastructure leads to build plans, call out risks early, and keep stakeholders aligned Own program health: track milestones, surface blockers before they slip, and keep decision-makers in the loop Use your technical background to ask sharp questions and build plans the team believes in Share in the team's release oncall rotation Experience: 5+ years in Technic
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. L9 - Senior Business Solutions Engineer, Legal Tech 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 Legal Technology team, within the BizTech organization, leads the mission to deliver innovative technology, empowering our legal function to utilize technology productively, driving connection, and scale support. This role sits within BizTech and partners directly with Airbnb's global Legal organization to accelerate the deployment of AI-powered tools, implementation of legal systems & integrations, and workflow automation across the CLO org. The Difference You Will Make: We're looking for a world-class Senior Business Systems Engineer to help redefine how Legal operates. You'll deliver fast, practical solutions using internal tools and agentic AI — owning system and tool changes end-to-end, from design through support. You'll spot what's slowing teams down, champion best practices, and safeguard data integrity across our platforms — all while staying ahead of how AI is reshaping the way we work. This isn't conventional IT or Legal Ops. You'll be embedded directly within our Legal teams, solving real challenges in real time. As a key driver of our Legal Tech strategy, you'll lead the deployment of AI agents, legal application implementations, and automation that
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 Platform Core Engineering (PCE) builds the foundational systems, frameworks, and tooling that Twitch's engineers build on every day. As a Senior Product Manager on PCE, your customers are developers, and your success depends on earning their trust. You will own a platform product area and be measured on whether developers actually adopt, rely on, and advocate for what you ship. This is a deeply technical, senior individual-contributor role. You are expected to be hands-on with modern AI development tools, to understand the technology you are shaping at a real level (not just at the surface), and to hold credibility in a room full of engineers. You can be based out of one of the Twitch offices including San Francisco, Seattle, Los Angeles, Irvine, or New York City. You Will: Own the strategy and roadmap for a PCE platform area, balancing near-term developer needs with a 1 to 2 year technical vision. Treat developers as your customers: understand their workflows, earn their trust, and prioritize the capabilities that make them faster and more effective. Work directly with Senior Engineering Managers and Principal Engineers to define technical and organizational needs and build a cohesive platform ecosystem. Define and drive the platform metrics that matter. Drive alignment across dependent
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 Platform Core Engineering (PCE) builds the foundational systems, frameworks, and tooling that Twitch's engineers build on every day. As a Senior Product Manager on PCE, your customers are developers, and your success depends on earning their trust. You will own a platform product area and be measured on whether developers actually adopt, rely on, and advocate for what you ship. This is a deeply technical, senior individual-contributor role. You are expected to be hands-on with modern AI development tools, to understand the technology you are shaping at a real level (not just at the surface), and to hold credibility in a room full of engineers. You can be based out of one of the Twitch offices including San Francisco, Seattle, Los Angeles, Irvine, or New York City. You Will: Own the strategy and roadmap for a PCE platform area, balancing near-term developer needs with a 1 to 2 year technical vision. Treat developers as your customers: understand their workflows, earn their trust, and prioritize the capabilities that make them faster and more effective. Work directly with Senior Engineering Managers and Principal Engineers to define technical and organizational needs and build a cohesive platform ecosystem. Define and drive the platform metrics that matter. Drive alignment across dependent
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 Platform Core Engineering (PCE) builds the foundational systems, frameworks, and tooling that Twitch's engineers build on every day. As a Senior Product Manager on PCE, your customers are developers, and your success depends on earning their trust. You will own a platform product area and be measured on whether developers actually adopt, rely on, and advocate for what you ship. This is a deeply technical, senior individual-contributor role. You are expected to be hands-on with modern AI development tools, to understand the technology you are shaping at a real level (not just at the surface), and to hold credibility in a room full of engineers. You can be based out of one of the Twitch offices including San Francisco, Seattle, Los Angeles, Irvine, or New York City. You Will: Own the strategy and roadmap for a PCE platform area, balancing near-term developer needs with a 1 to 2 year technical vision. Treat developers as your customers: understand their workflows, earn their trust, and prioritize the capabilities that make them faster and more effective. Work directly with Senior Engineering Managers and Principal Engineers to define technical and organizational needs and build a cohesive platform ecosystem. Define and drive the platform metrics that matter. Drive alignment across dependent
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 Platform Core Engineering (PCE) builds the foundational systems, frameworks, and tooling that Twitch's engineers build on every day. As a Senior Product Manager on PCE, your customers are developers, and your success depends on earning their trust. You will own a platform product area and be measured on whether developers actually adopt, rely on, and advocate for what you ship. This is a deeply technical, senior individual-contributor role. You are expected to be hands-on with modern AI development tools, to understand the technology you are shaping at a real level (not just at the surface), and to hold credibility in a room full of engineers. You can be based out of one of the Twitch offices including San Francisco, Seattle, Los Angeles, Irvine, or New York City. You Will: Own the strategy and roadmap for a PCE platform area, balancing near-term developer needs with a 1 to 2 year technical vision. Treat developers as your customers: understand their workflows, earn their trust, and prioritize the capabilities that make them faster and more effective. Work directly with Senior Engineering Managers and Principal Engineers to define technical and organizational needs and build a cohesive platform ecosystem. Define and drive the platform metrics that matter. Drive alignment across dependent
Who we are About Stripe Stripe, LLC. is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. What you’ll do Responsibilities Lead technical discussions and implement scalable technical solutions for open-ended, medium-to-large-sized technical problems in the issued cards and financial accounts space, including account management/compliance, onboarding, fraud prevention, and more (50%); Write technical project briefs and workstream roadmaps for medium-to-large-sized technical problems in the banking-as-a-service space (5%); Provide mentorship & technical training around the codebase to junior engineers and newer engineers (5%); Write technical documentation around compliance and fraud within the card issuing domain (5%); Partner directly with cross functional teams, like Product and Fraud Strategy, to translate real-world requirements into technical outcomes (5%); Regularly go on-call for your engineering team (10%); Review API and technical designs for various engineering teams (20%). Who you are Minimum requirements Bachelor's degree or foreign equivalent in Computer Science or related field followed by 3 years of experience in Software Engineering. Position also requires experience with the following: 3 years of experience with typed (Java, C++ or Scala) or untyped programming languages (Javascript, Ruby, Python); 2 years of experience with building end-to-end software solutions for fraud, compliance, and/or onboarding in the banking-as-a-service space; 2 years of experience with Data
About the Team Join the engineering teams that bring OpenAI’s ideas safely to the world! The Applied Engineering team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role We’re seeking Software Engineers who can solve complex, high-impact problems across our stack. In this role, you’ll join a nimble team driving the deployment of OpenAI’s technology into new environments and infrastructure that power critical missions in the public sector. You’ll work cross-functionally with product, security, and compliance teams to build the functionality needed to deliver a scalable, reliable platform. You’ll also partner directly with customers to design and build new products and features that create real-world impact. From launching net-new capabilities to optimizing how we serve inference in unique, high-stakes environments, this role offers both breadth and technical depth—giving you the opportunity to shape the future of OpenAI’s technology where it matters most. This role is based in Washington D.C., San Francisco, CA or Seattle, WA. Occasional travel to customer sites is required for this role. In this role, you will: Own the development of new customer-facing ChatGPT and OpenAI API features end-to-end, both on-premises and in the cloud, for our public sector customers. Partner and directly embed with teams across the business, including engineering, security, and compliance, to enable our products to work within the unique constraints of new environments. Talk to users to understand their problems and design solutions to address them Work with the research team to get relevant feedback and iterate on their latest models, developing solutions specific for public sector customers at both the model & data
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