Lead Partner Operations Specialist Jobs

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

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. Flexdrive is a subsidiary of Lyft that works together with Lyft teams to realize our shared mission. At Flexdrive, we're at the forefront of revolutionizing transportation by building the operational backbone for autonomous vehicle (AV) fleets. As a leader in fleet management, we're leveraging our expertise to enter the AV space, forming strategic partnerships with cutting-edge technology providers. We're looking for dedicated team members to help us pioneer this new chapter, starting with our first AV depot in Nashville, Tennessee. Reporting to the Depot Operations Lead , Flexdrive is seeking detail-oriented and technically capable Depot Operations Associates to ensure our autonomous vehicle fleet maintains optimal readiness for 24/7 operations. This hands-on role combines critical vehicle preparation, maintenance support, and calibration responsibilities that directly impact fleet availability and safety. You will be responsible for the complete vehicle lifecycle from pre-deployment checks through end-of-day diagnostics, including specialized calibration procedures that enable autonomous operation. This position offers a unique opportunity to work with cutting-edge autonomous vehicle technology while developing expertise in AV operations, safety protocols, and technical procedures. If you're passionate about being part of the future of transportation and thrive in a fast-paced, detail-oriented environment, we encourage you to apply. Work Schedule & Shift Availability This role supports 24/7 AV depot operations and requires availability to work afternoon shift, with hours scheduled between 12:00 PM - 11:00 PM. Specific shift times and schedules will be determined based on operational needs and business requirements. Schedules may include weekends and holidays based on depot operation

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. Flexdrive is a subsidiary of Lyft that works together with Lyft teams to realize our shared mission. At Flexdrive, we're at the forefront of revolutionizing transportation by building the operational backbone for autonomous vehicle (AV) fleets. As a leader in fleet management, we're leveraging our expertise to enter the AV space, forming strategic partnerships with cutting-edge technology providers. We're looking for dedicated team members to help us pioneer this new chapter, starting with our first AV depot in Nashville, Tennessee. Reporting to the Depot Operations Lead , Flexdrive is seeking detail-oriented and technically capable Depot Operations Associates to ensure our autonomous vehicle fleet maintains optimal readiness for 24/7 operations. This hands-on role combines critical vehicle preparation, maintenance support, and calibration responsibilities that directly impact fleet availability and safety. You will be responsible for the complete vehicle lifecycle from pre-deployment checks through end-of-day diagnostics, including specialized calibration procedures that enable autonomous operation. This position offers a unique opportunity to work with cutting-edge autonomous vehicle technology while developing expertise in AV operations, safety protocols, and technical procedures. If you're passionate about being part of the future of transportation and thrive in a fast-paced, detail-oriented environment, we encourage you to apply. Work Schedule & Shift Availability This role supports 24/7 AV depot operations and requires availability to work afternoon shift, with hours scheduled between 09:30 PM - 7:00 AM. Specific shift times and schedules will be determined based on operational needs and business requirements. Schedules may include weekends and holidays based on depot operationa

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Growth Products team drives rider and driver acquisition to scale the business and balance the marketplace. We specialize in incentive and messaging targeting, budget optimization, and paid media measurement, and move rapidly to test new ideas and products. As a Data Scientist expert in causal inference and marketing mix models (MMM), you will lead our efforts to measure and optimize investments across marketing channels. Responsibilities: Deliver results across the entire lifecycle of data science solutions for Growth: from defining the problem with cross-functional stakeholders to deploying production models that address key business problems. Own complex domains and develop long-term roadmaps to maximize business impact. Build statistical pipelines, write production code, and design/analyze experiments. Participate in the science on-call rotation to ensure automated campaigns operate successfully. Experience: Advanced degree in statistics, economics, mathematics, or equivalent industry experience. 4+ years of industry experience in causal inference or data science. Proven ability to apply statistics to unstructured problems and deliver measurable results. Deep technical expertise in causal inference and tackling challenging measurement problems. Expertise in marketing mix modeling is highly preferred. Expertise in SQL and experience with large-scale data platforms. Proficiency in Python and working within production coding environments. Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan with company match to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team membe

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Growth Products team drives rider and driver acquisition to scale the business and balance the marketplace. We specialize in incentive and messaging targeting, budget optimization, and paid media measurement, and move rapidly to test new ideas and products. As a Data Scientist expert in causal inference and marketing mix models (MMM), you will lead our efforts to measure and optimize investments across marketing channels. Responsibilities: Deliver results across the entire lifecycle of data science solutions for Growth: from defining the problem with cross-functional stakeholders to deploying production models that address key business problems. Own complex domains and develop long-term roadmaps to maximize business impact. Build statistical pipelines, write production code, and design/analyze experiments. Participate in the science on-call rotation to ensure automated campaigns operate successfully. Experience: Advanced degree in statistics, economics, mathematics, or equivalent industry experience. 4+ years of industry experience in causal inference or data science. Proven ability to apply statistics to unstructured problems and deliver measurable results. Deep technical expertise in causal inference and tackling challenging measurement problems. Expertise in marketing mix modeling is highly preferred. Expertise in SQL and experience with large-scale data platforms. Proficiency in Python and working within production coding environments. Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan with company match to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team membe

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. Flexdrive is a subsidiary of Lyft that works together with Lyft teams to realize our shared mission. At Flexdrive, we're at the forefront of revolutionizing transportation by building the operational backbone for autonomous vehicle (AV) fleets. As a leader in fleet management, we're leveraging our expertise to enter the AV space, forming strategic partnerships with cutting-edge technology providers. We're looking for dedicated team members to help us pioneer this new chapter, starting with our first AV depot in Nashville, Tennessee. Reporting to the Depot Operations Lead , Flexdrive is seeking detail-oriented and technically capable Depot Operations Associates to ensure our autonomous vehicle fleet maintains optimal readiness for 24/7 operations. This hands-on role combines critical vehicle preparation, maintenance support, and calibration responsibilities that directly impact fleet availability and safety. You will be responsible for the complete vehicle lifecycle from pre-deployment checks through end-of-day diagnostics, including specialized calibration procedures that enable autonomous operation. This position offers a unique opportunity to work with cutting-edge autonomous vehicle technology while developing expertise in AV operations, safety protocols, and technical procedures. If you're passionate about being part of the future of transportation and thrive in a fast-paced, detail-oriented environment, we encourage you to apply. Work Schedule & Shift Availability This role supports 24/7 AV depot operations and requires availability to work afternoon shift, with hours scheduled between 6:30 AM - 3:00 PM. Specific shift times and schedules will be determined based on operational needs and business requirements. Schedules may include weekends and holidays based on depot operational

About Flexdrive At Flexdrive, we're at the forefront of revolutionizing transportation by building the operational backbone for autonomous vehicle (AV) fleets. As a leader in fleet management, we're leveraging our expertise to enter the AV space, forming strategic partnerships with cutting-edge technology providers. We're looking for dedicated team members to help us pioneer this new chapter, starting with our first AV depot in Nashville, Tennessee. The Opportunity Reporting to the Service Lead, Flexdrive is seeking a decisive and security-conscious Repair Coordinator to own the complete repair and parts lifecycle for our 24/7 AV operations — from the initial intake of a vehicle requiring service, through parts procurement and consumption, to the vehicle's final release back into the active fleet. This role is the central hub for service workflow, technician support, and inventory infrastructure: coordinating work assignments, comprehensive vehicle information, and correct parts availability to minimize vehicle downtime and uphold the high availability standards required for an autonomous fleet. The Repair Coordinator directly impacts the operational efficiency, inventory accuracy, and reliability of Flexdrive's AV deployment. This position offers unique exposure to cutting-edge AV technology and supply chain management in a highly regulated environment. The role requires someone who can balance operational efficiency with uncompromising security standards, provide 24/7 support coverage, and maintain perfect inventory accuracy. If you excel at detailed inventory management, shop-flow coordination, and thrive in mission-critical operations, we encourage you to apply. Work Schedule & Shift Availability Day Window Shift Pattern This role supports 24/7 AV depot operations and requires availability to work day window shifts, with hours scheduled between 6:30am - 9:30pm. Specific shift times and schedules will be determined based on operational needs and business requ

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. Flexdrive is a subsidiary of Lyft that works together with Lyft teams to realize our shared mission. At Flexdrive, we're at the forefront of revolutionizing transportation by building the operational backbone for autonomous vehicle (AV) fleets. As a leader in fleet management, we're leveraging our expertise to enter the AV space, forming strategic partnerships with cutting-edge technology providers. We're looking for dedicated team members to help us pioneer this new chapter, starting with our first AV depot in Nashville, Tennessee. Reporting to the Depot Operations Lead , Flexdrive is seeking detail-oriented and technically capable Depot Operations Associates to ensure our autonomous vehicle fleet maintains optimal readiness for 24/7 operations. This hands-on role combines critical vehicle preparation, maintenance support, and calibration responsibilities that directly impact fleet availability and safety. You will be responsible for the complete vehicle lifecycle from pre-deployment checks through end-of-day diagnostics, including specialized calibration procedures that enable autonomous operation. This position offers a unique opportunity to work with cutting-edge autonomous vehicle technology while developing expertise in AV operations, safety protocols, and technical procedures. If you're passionate about being part of the future of transportation and thrive in a fast-paced, detail-oriented environment, we encourage you to apply. Work Schedule & Shift Availability This role supports 24/7 AV depot operations and requires availability to work either a day, afternoon, or overnight shift with hours scheduled between 6:00 AM- 3:30 PM, 12:00 PM - 11:00 PM, or 9:30 PM- 7:30 AM. Specific shift times and schedules will be determined based on operational needs and business requirements. Sc

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Growth Products team drives rider and driver acquisition to scale the business and balance the marketplace. We specialize in incentive and messaging targeting, budget optimization, and paid media measurement, and move rapidly to test new ideas and products. As a Data Scientist expert in causal inference and marketing mix models (MMM), you will lead our efforts to measure and optimize investments across marketing channels. Responsibilities: Deliver results across the entire lifecycle of data science solutions for Growth: from defining the problem with cross-functional stakeholders to deploying production models that address key business problems. Own complex domains and develop long-term roadmaps to maximize business impact. Build statistical pipelines, write production code, and design/analyze experiments. Participate in the science on-call rotation to ensure automated campaigns operate successfully. Experience: Advanced degree in statistics, economics, mathematics, or equivalent industry experience. 4+ years of industry experience in causal inference or data science. Proven ability to apply statistics to unstructured problems and deliver measurable results. Deep technical expertise in causal inference and tackling challenging measurement problems. Expertise in marketing mix modeling is highly preferred. Expertise in SQL and experience with large-scale data platforms. Proficiency in Python and working within production coding environments. Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan with company match to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team membe

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. As the Engineering Manager for the Lakehouse Foundation team, you will lead a group of engineers responsible for the foundational data layer that all of Lyft's data systems and emerging AI workloads are built on. The team owns catalog and metadata management, table formats and storage, and the access patterns and gateways through which other engineering teams interact with Lyft's data. As Lyft converges on a unified lakehouse architecture, this team builds and operates the single source of truth that powers analytics, machine learning, experimentation, and every business decision made from data. You will play a key role in shaping the team's technical direction, partnering with peer Data Platform teams on a multi-year platform evolution, and developing engineers who operate with autonomy on systems of significant scale and complexity. Lyft's Infrastructure teams build the foundational systems that the rest of engineering depends on to move fast, ship reliably, and scale efficiently. These are high-leverage roles where the work you and your team do has a multiplicative effect across the company. We're looking for experienced leaders who can balance the discipline of operating critical infrastructure with the curiosity to keep evolving how Lyft builds. Engineering at Lyft is a place where managers and engineers operate with high ownership and strong technical judgment. Our engineers expect their managers to be honest, available, and focused on the work that matters: developing their teams, removing obstacles, and giving people the support they need to do their best work. We build teams that are inclusive, technically rigorous, and have a strong sense of ownership for what they build. Responsibilities: Lead a team responsible for Lyft's foundational data layer, including catalog and metadata management,

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. As a Frontend Software Engineer on the Operator Core Tooling pod, you'll play a vital role in building the robust services that power our critical operations tooling platform. Your work will directly empower our micromobility operations teams by providing them with intuitive and efficient tools, significantly improving their daily workflows as they manage our fleet. You'll collaborate closely with business leaders, front-end developers, and data scientists across Lyft to achieve this impact. Responsibilities: Help define the roadmap and architecture based on technology and business needs 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 knowledge Lead projects from idea to positive execution Incorporate considerations for business context and failure modes in your work Proactively participate in resolving ongoing incidents Unblock, support, effectively communicate and obtain buy-in across teams to achieve results Share your knowledge by giving brown bags, tech talks, and evangelizing appropriate tech and engineering best practices See the direct impact of your work on the efficiency of our operating teams Experience: 3+ years of software engineering industry Advanced knowledge of JavaScript Experience working with modern JavaScript frameworks, like React Experience working with NodeJS and Express applications Experience working with design systems (e.g. Bootstrap, Salesforce Lightning, GitHub Primer) Good understanding of web performance and how browsers and DOM work Experience with unit, integration, and end-to-end testing Experience designing, building and improving a set of team owned components Culture of investigating and solvin

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 Science & Analytics is at the heart of Lyft's products and decision-making. The Rider Experience team sits at the center of how millions of riders discover, choose, and return to Lyft. We are hiring a Data Science Manager to lead our Toronto-based science & analytics team that turns rider behavior into product strategy. This role owns the analytical foundation behind our most consequential rider-facing decisions: how we measure experience quality, where friction costs us retention, and which bets move rider LTV. You will set the measurement and experimentation standards for rider product squads, and translate ambiguous business questions into rigorous, decision-ready analysis that shapes roadmap and investment. You will also lead the team's transition to AI-native data science and analytics workflows, embedding AI tooling into how we explore data, make decisions, and ship products. Responsibilities: Lead and grow a high-performing team of data scientists and analysts with diverse backgrounds Define and drive the data science vision, strategy, and roadmap, aligning with business and product objectives to improve market competitiveness and rider experience Provide strong technical guidance and coaching to the team on complex data science problems Champion data-driven decision-making and prioritization by partnering with product managers, engineers, marketers, and leaders to translate insights into decisions and action Lead deep-dive analyses into large-scale datasets to identify opportunities for improving rider app experience and overall rider product health Ensure robust experimentation and causal inference methodologies are applied to measure the impact of new features and strategies Mentor and guide the professional and technical development of your team members; help develop the

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: MarTech Data Science Measurement empowers Airbnb to optimize marketing ROI by generating data-driven recommendations. We lead the way in defining and advancing best practices for measuring and optimizing marketing impact. We collaborate with Marketing, Finance, and Engineering to provide actionable recommendations and tools based on effective, timely, and granular measurements. Our team’s tenets are: Actionable: Deliver insights that drive confident business decisions. Impactful: Prioritize projects based on their expected value to Airbnb. Balanced: Adapt methods to business questions and data realities, acknowledging limitations. Rigorous: Maintain methodological integrity and quantify the sensitivity of findings. Innovative: Invest in advancing measurement science and developing new methods. Influential: Share learnings across Airbnb and the broader data science community. The Difference You Will Make: We are seeking an experienced (Contract) Sr. Data Scientist for a 24 month contract with deep expertise in marketing measurement, with a particular focus on Marketing Mix Modeling (MMM) and geo-based causal inference. The ideal candidate brings strong statistical intuition and hands-on modeling experience to quantify the incremental impact of Airbnb's marketing investments across channels and geographies. They are fluent in Python, comfortable working with Bayesian frameworks, and can translate complex measurement findings into clear, actionable recommendations for senior stakeholders. A Typical Day: Marketing Mix Modeling: Design, build, and maintain MMM models that est

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 You will be joining Stripe’s ML Foundations and Gen AI team to incubate new ML applications and improve our ML capabilities across Stripe. Our team is responsible for unlocking novel ML and LLM techniques and applications across Stripe’s product suite to drive business outcomes, as well as providing infrastructure, tooling and support for ML teams. What you’ll do As a senior product leader, you will lead a cross-functional team to define, incubate and scale new ML/AI applications across Stripe’s product suite, and drive our strategy and roadmap for ML/AI infrastructure powering all of Stripe’s teams. You will work closely with product leaders across business units to define and deliver on an AI-centric product strategy, launching new applications that drive incremental business outcomes. At the same time, you will be advancing our core AI technology stack to empower teams across Stripe to infuse their scenarios with Agents and agentic capabilities, with API support for agent quality and continuous improvement. Responsibilities Develop and execute on the Stripe-wide strategy for new ML/AI applications across our product suite Evaluate and align on areas of investment for ML/AI applications in collaboration with product leaders across the company Work with cross-functional teams to execute on the roadmap and launch successful new ML/AI applications Communicate clearly and crisply with leadership stakeholders and drive alignment acr

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 Data Quality and Governance owns the infrastructure that makes Stripe's data trustworthy and findable - the Data Catalog, the Knowledge Graph Service, dataset tiering and governance standards, lineage tracking, and the quality scoring system (DQPD) that every engineering team reports against. They're the team that defines what "good data" means at Stripe and then builds the enforcement and measurement tools to drive adoption across the company. What you’ll do Responsibilities Lead the technical outcomes for a team of ambitious, talented engineers, providing mentorship, guidance, and support to ensure their success Build and operate large-scale data discovery, metadata, or catalog platform Develop strong subject matter expertise and manage the SLAs of data pipelines and full stack web applications that support critical stakeholders Collaborate with product managers and peers across the company to create/improve canonical datasets and data warehouses, use golden paths, and ensure Stripes and customers are using trustworthy data Leverage AI/LLM and Agents at scale to produce and analyze high-quality data on ambiguous problems Have the opportunity to drive the execution of key data initiatives for Stripe, overseeing the entire development lifecycle from planning to delivery while maintaining high standards of quality and timely completion Foster a collaborative and inclusive work environment, promoting innovation, knowledge sharing, and continuo