Integrated Campaigns Manager Jobs

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Software Platform team accelerates developer velocity and increases system reliability by building the foundational platforms and tools that power Robinhood engineering. Within this group, the Compute team focuses on building and operating a highly available, scalable Kubernetes-powered container platform. We ensure that our infrastructure seamlessly supports reliable application deployments, integrates core platform capabilities, and enables multi-region scalability. We are expanding our core container systems to support our next phase of technical growth! As a Senior Software Engineer , you will focus heavily on building, operating, and expanding our container provisioning platforms. You will be responsible for designing resilient container infrastructure and contributing to our technical migration to Amazon EKS to improve platform reliability. In this position, you will collaborate with engineering teams across Robinhood to deliver reliable platform integrations for core capabilities like networking and security. Your work will directly help our infrastructure scale efficiently while maintaining a high standard of safety and system uptime! This role is based in our Be

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The compliance team supporting Robinhood’s credit card products and money transmitter (for Robinhood Credit, Inc., and Robinhood Money, LLC) is dedicated to ensuring robust regulatory compliance across all financial offerings. Our team's mission is to establish and maintain a strong compliance management system that supports compliant product growth and operational excellence. We partner closely with Product, Operations, Legal, and Risk to integrate regulatory requirements seamlessly into our financial platforms! Our team thrives on collaboration, proactive risk management, and a commitment to protecting our customers while supporting business goals. As Lead Compliance Analyst, you will play a critical role in ensuring that Robinhood embeds regulatory compliance for its current products, including the debit card, spending account, and credit cards, as well as future products. You will participate in multiple compliance functions to support the administration of our compliance management system. In this role, you will analyze regulatory changes, review marketing and customer disclosures, and provide clear compliance guidance to product teams. You will also collaborate w

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 . Staff Software Engineer, Core AI Infrastructure You'll join a high-performing team of engineers driving AI transformation at Coinbase as a Senior Software Engineer on the IT Operations team within ESTO. This team builds custom products through full-stack engineering and scales the infrastructure powering Coinbase's AI products, with direct exposure to senior leadership in a fast-paced, incubator-style environment. You'll own the reliability and automation of critical AI infrastructure, ensuring our systems are resilient, observable, and secure at scale. What you'll do: Own end-to-end delivery of AI products by building production-grade distributed systems, including serving infrastructure, data pipelines, and deployment orchestration across the full stack throughout the SDLC. Drive platform adoption by designing clean APIs, abstractions, and developer-facing tooling that enable product teams to integrate AI capabilities without bespoke infrastructure requests. Partner with engineering and product leadership across Platform and other product groups to align infrastructure requirements, resolve cross-team technical dependencies, and define shared platform contracts. Shape engineering standards and technical culture by establishing architectural patterns, mentoring engineers, and raising the bar on code quality, observability, and operational excellence. Build

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 . Senior Software Engineer, AI Transformation You'll join a high-performing team of engineers driving AI transformation at Coinbase as a Senior Software Engineer on the IT Operations team within ESTO. This team builds custom products through full-stack engineering and scales the infrastructure powering Coinbase's AI products, with direct exposure to senior leadership in a fast-paced, incubator-style environment. You'll own the reliability and automation of critical AI infrastructure, ensuring our systems are resilient, observable, and secure at scale. What you'll do: Own end-to-end delivery of AI products by building production-grade distributed systems, including serving infrastructure, data pipelines, and deployment orchestration across the full stack throughout the SDLC. Drive platform adoption by designing clean APIs, abstractions, and developer-facing tooling that enable product teams to integrate AI capabilities without bespoke infrastructure requests. Partner with engineering and product leadership across Platform and other product groups to align infrastructure requirements, resolve cross-team technical dependencies, and define shared platform contracts. Shape engineering standards and technical culture by establishing architectural patterns, mentoring engineers, and raising the bar on code quality, observability, and operational excellence. Build f

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft is looking for a Design Systems Manager to join Design Foundations, the infrastructure layer of Lyft's design organization. Design Systems at Lyft is an integral part of the overall user experience. Our design system spans product surfaces, marketing, and brand, officially known as the Lyft Product Language (LPL) and shipped directly to code. You'll own the craft and execution of that system, partner closely with design, engineering, and marketing, and lead Design systems work through a period of active global growth and capability expansion. This role reports to the Director of Design Foundations and works alongside a dedicated DPM and Engineering managers, and a tight-knit team of design systems practitioners. Responsibilities: Strategy & Vision Set the strategy and roadmap for Lyft Product Language (LPL) across product, marketing, and brand surfaces, in partnership with the Director of Design Foundations and engineering leadership and the Design Systems team Lead the AI transformation of the system: integrate AI into LPL tooling, adoption workflows, and the day-to-day designer experience at Lyft Represent Design Systems in reviews and other senior leadership forums People & Craft Manage and develop a team of design systems designers and illustrators working across iOS, Android, web, and brand Hold the quality bar for system-wide design: cross-platform coherence, accessibility (WCAG), road safety, localization, and brand consistency. Coach the team on making educated tradeoffs between flexibility, coherency, usability, and efficiency Execution & Partnership Partner closely with the Design Systems DPM and engineering managers to maintain system health, sequence work, and unblock teams Own the LPL component contribution and review process end-to-end, from intake through release Commu

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 People Technology stack has never been more capable, the differentiator now is the expertise to unlock it. . As a Senior Workday Engineer at Lyft, you'll be the technical cornerstone of our People Technology team, owning the design, development, and delivery of the integrations, custom applications, and AI solutions that the entire People function depends on. This role uniquely combines deep, demonstrable mastery across the full Workday technology stack with an AI-native engineering approach, enabling you to build solutions that don't just automate what exists today but fundamentally raise the bar for how People Technology delivers value. We're seeking a hands-on engineer who commands the full depth of the Workday ecosystem, from Studio and Core Connectors to Extend and Prism Analytics, and brings the technical judgment to architect solutions that scale with the business. You'll be the trusted technical owner of our People Technology platforms, partnering closely with HR, Payroll, Finance, and Benefits stakeholders to translate complex requirements into scalable, maintainable solutions that truly move the needle. With AI reshaping how People Technology teams operate, your expertise will be critical in actively identifying, building, and shipping AI-powered solutions that eliminate manual work, accelerate delivery, and push our teams from tactical execution to strategic impact. In this role, you'll integrate LLMs into HR workflows, build and maintain MCP servers that expose People systems data securely to AI agents, mentor junior engineers, and set the engineering standard for a team that is redefining what enterprise People Technology looks like. If you are a candidate who has the vision of what could be, who has the ability to cultivate relationships, and has a belief in driving impact, then you

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. We are building out Finance business operations to drive disciplined execution of both organic and inorganic initiatives, including M&A integration, strategic programs (AVs, Luxury), and other new product initiatives (NPIs). This is a strategy-to-execution role that requires strong judgment, cross-functional leadership, and the ability to drive outcomes in ambiguous, high-stakes environments. We are seeking a high-impact Finance BizOps leader to sit at the center of this effort, owning finance integration execution (in partnership with Lyft’s Corp Dev IMO), NPI financial readiness, and the intake/governance layer that connects Finance to the company’s most strategic initiatives. This role is the operating backbone for Finance – ensuring acquisitions integrate seamlessly, new products launch cleanly, and Finance work is prioritized with rigor and transparency. As the company scales, the volume and complexity of strategic initiatives—M&A, new products, and cross-functional programs—continues to increase. This role establishes a centralized operating model that ensures: Strategic initiatives are executed with discipline and completeness Finance is embedded early and effectively ensuring strong planning to execution across multiple teams to deliver strong customer and business results The organization scales without accumulating operational debt or technical debt Responsibilities: Strategic program Readiness Act as the central Finance lead for new product initiatives and large strategic programs Build strong working relationships with key product and business leaders and stay “in the know” on planned launches Partner with Finance SMEs, Product, Engineering, and GTM teams to ensure: Financial workflows and requirements are defined Systems, processes, and financ

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 is looking for a Design Systems Manager to join Design Foundations, the infrastructure layer of Lyft's design organization. Design Systems at Lyft is an integral part of the overall user experience. Our design system spans product surfaces, marketing, and brand, officially known as the Lyft Product Language (LPL) and shipped directly to code. You'll own the craft and execution of that system, partner closely with design, engineering, and marketing, and lead Design systems work through a period of active global growth and capability expansion. This role reports to the Director of Design Foundations and works alongside a dedicated DPM and Engineering managers, and a tight-knit team of design systems practitioners. Responsibilities: Strategy & Vision Set the strategy and roadmap for Lyft Product Language (LPL) across product, marketing, and brand surfaces, in partnership with the Director of Design Foundations and engineering leadership and the Design Systems team Lead the AI transformation of the system: integrate AI into LPL tooling, adoption workflows, and the day-to-day designer experience at Lyft Represent Design Systems in reviews and other senior leadership forums People & Craft Manage and develop a team of design systems designers and illustrators working across iOS, Android, web, and brand Hold the quality bar for system-wide design: cross-platform coherence, accessibility (WCAG), road safety, localization, and brand consistency. Coach the team on making educated tradeoffs between flexibility, coherency, usability, and efficiency Execution & Partnership Partner closely with the Design Systems DPM and engineering managers to maintain system health, sequence work, and unblock teams Own the LPL component contribution and review process end-to-end, from intake through release Commu

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft is hiring a bright, dynamic, and self-motivated attorney with at least 5 years of legal experience to join our Legal team. The successful candidate will be adaptable, driven, and energized by a fast-paced environment where priorities can shift and no two days look quite the same. You will partner with and provide legal guidance to teams across the company – including in the Partnerships, Product, Marketing, Engineering, and Public Policy organizations – on initiatives that influence all aspects of Lyft’s business. The legal issues you’ll encounter are complex and continually evolving, so you’ll need to assess and advise on an ongoing basis using a creative and pragmatic approach. Responsibilities: Advise Lyft product teams as they develop, launch, and operate a wide range of new products and features across multiple lines of business Draft, review, and negotiate legal agreements involving complex partnerships and technology transactions; serve as the primary legal counsel for these partnerships, from ideation to product implementation Provide practical and creative legal advice and support on business matters in a fluctuating and fast-paced environment Integrate with cross-functional partners and their teams (including business development managers, product managers, and marketing managers) and serve as the voice of Legal throughout the product development process and related marketing initiatives Develop and drive comprehensive, long-term legal strategies that balance risk and business objectives Prioritize your workload to meet goals and deadlines in an environment where business priorities sometimes shift Assist other teams with projects on an as-needed basis Experience: Law degree and membership in at least one state bar with good standing 5+ years o

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 Quality Platform team is at the heart of Airbnb’s mission to deliver a seamless, high-quality experience for millions of hosts and guests. We don’t just find bugs — we build the systems that prevent them. Our team sits at the intersection of Quality Engineering, Infrastructure, and Applied AI . We are evolving how software quality is built by integrating LLMs, intelligent automation, and data-driven systems into the testing lifecycle. You will join a high-impact group of engineers focused on building AI-powered quality systems that scale across one of the world’s most complex codebases. The Difference You Will Make As a Software Engineer , you will play a key role in building and evolving AI-native quality workflows across Airbnb. You will design systems that apply AI directly to the testing lifecycle , helping developers and quality engineers build, validate, and ship high-quality software at scale. In this role, you will: Build AI Agents for the Testing Lifecycle: Design and implement AI agents that support developers and quality engineers across the testing lifecycle — from test case generation and evolution to automation and maintaining test coverage as the codebase changes. Advance AI-Native Quality: Move beyond traditional automation by building systems that continuously adapt test coverage based on code changes and system behavior. Improve Developer and QE Productivity: Identify bottlenecks in testing and CI/CD workflows, and solve them through intelligent automation that reduces manual effort and accelerates feedback loops. Integrate AI into Engineering Workflows: E

Who we are About Privy Our mission is to make privacy and user ownership the default online. To do so, we build simple, flexible APIs and tools for developers that make it easy to build new products on crypto rails. Privy owns the abstractions and infrastructure layer above wallets, integrating across chains, third-party providers, and Stripe products like Treasury and Link. We get to solve hard technical problems while leveraging Stripe's distribution to reach customers like Ramp, Klarna, Deel, Kraken, Hyperliquid, and Fomo — powering experiences for both mainstream users and crypto natives. Learn more about Privy: Privy and Stripe: Bringing crypto to everyone About the team Engineering at Privy is distinguished by High urgency—Shipping very small iterations, very fast, to learn very quickly Product taste—Our customers are developers, and to build effective products for them requires technical knowledge—you will often be "the PM." Security mindset—A great portion of our product is trust. While we have a dedicated security team, every engineer brings security to their designs from the start. In practice, we use boring technology like Node, React, and AWS so we can focus our engineering energy entirely on pushing the boundaries of Privy's core product, e.g. through hardware enclaves, multi-region low latency APIs, and blockchain abstractions that are accessible to mainstream developers. What you’ll do As a Fullstack Engineer at Privy, you will take on large areas of ownership in Privy’s product, architecture, and infrastructure. Because we build a developer tool, engineering and product are inextricably connected. We value intuitive interfaces, simplicity, and rapid iteration. Above all, we are building a company together to ship products that users love. Design intuitive interfaces to break down complex systems and turn them into delightful developer tooling Build and integrate systems end-to-end across client-side and server-side APIs to enable a seamle

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 Design state-of-the-art ML models and large-scale ML systems for underwriting and portfolio management for Stripe Capital based on ML principles, domain knowledge, risk, regulatory and engineering constraints. Design systems to speed up the time from idea to deployment of new models. Experiment and iterate on ML models (using tools including PyTorch and TensorFlow) to achieve key business goals and drive efficiency. Develop pipelines and automated processes to train and evaluate models in offline and online environments. Integrate ML models into production systems and ensure their scalability and reliability. Collaborate with product and strategy partners to propose, prioritize, and implement new product features. Engage with the latest developments in ML/AI and take calculated risks in transforming innovative ML ideas into productionized solutions. Who you are Minimum requirements Must have a Bachelor's degree or foreign equivalent in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field, plus two (2) years of experience in Building and shipping ML systems in production. Must have two (2) years of experience in each of the following: ML algorithms and model architectures; Designing, training and evaluating machine learning models; Productionizing and deploying machine learning models at scale; Orchestrating data pipelines and leveraging large-s

Who We Are About Stripe Stripe 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. About The Team Specialist Solutions Architects (SSA) are domain experts aligned to specific Stripe solutions and customer buying centers. We have in-depth knowledge of specific solution offerings and a deep understanding of customer challenges. We align with specialist product sellers on deals, advise the broader pre-sales team on complex opportunities, support pipeline development and revenue attainment, serve as an advisor on go-to-market sales plays, and provide critical insights to our product and engineering teams. What You'll Do You will collaborate closely with sales and pre-sales teams to drive pipeline and revenue targets, while also educating the product and engineering teams on market trends and strongly influencing the product roadmap. You will develop deep relationships with senior customer business leaders and grow Stripe's solution offerings with new and existing customers. As a subject matter expert, you will scale the broader organization by creating reusable assets and coaching others on complex, high-value opportunities. Responsibilities Act as a subject matter expert on Stripe Tax to accelerate opportunities Demonstrate a deep understanding of global indirect taxes—VAT, GST, sales and use tax, mandatory e-invoicing requirements—and how automated compliance solutions help online businesses meet their obligations Provide solutions and recommendations to B2C, B2B, and platform business models on how to integrate Stripe Tax for end-to-end i