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Measurement Partnerships Lead Jobs

401 active opportunities · Updated for October 2026

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Explore current measurement partnerships lead jobs. Use filters to narrow by work mode, employment type, experience and date posted.

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Coinbase
📍 - USA• Full-time• Remote• From $186.1K/yr
1mo ago

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 Platform Core Automation team, you'll build the AI infrastructure and agentic systems that automate customer support and compliance operations at Coinbase. This team is reimagining what these processes look like when AI handles them end-to-end, replacing manual workflows with intelligent agents that resolve customer issues and execute compliance tasks autonomously. You'll own the design and delivery of LLM-powered systems, grounding techniques, and integration pipelines that directly reduce resolution times, cut costs, and improve accuracy across millions of customer interactions. What you’ll be doing (ie. job duties): Own the design and delivery of agentic AI systems that power Coinbase's customer support and compliance automation, from LLM orchestration through production deployment and monitoring. Build scalable, secure backend infrastructure in Python and Golang that serves AI workloads, including model integration pipelines, guardrails, grounding mechanisms, and measurement frameworks. Drive end-to-end project execution on complex AI initiatives, making technical trade-offs across latency, accuracy, cost, and reliability. Partner with Customer Experience, Compliance, and product engineering teams to identify high-impact automation opportunities and translate operational pain points into AI-powered solutions. Strengthen engine

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C
Coinbase
📍 Charlotte• Full-time• From $180.4K/yr
1mo ago

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 . The Enterprise Applications & Architecture (EAA) team at Coinbase builds and operates the internal platforms and business systems that power Coinbase at scale. Within EAA, the CX Tooling product team owns the tools, workflows, and AI-powered systems that enable Coinbase's CX specialists to resolve customer issues quickly, accurately, and with empathy. As a Senior Product Manager, you'll own product strategy and execution for CX and AI tooling that sits at the intersection of internal operations and the external customer experience, building an AI-forward platform that leverages automation, intelligent routing, and AI-assisted resolution to raise the bar on speed, quality, and customer satisfaction. Location: Greater Charlotte, NC area (relocation assistance available) What you'll do: Own the product roadmap for a portfolio of CX and AI tooling, delivering end-to-end across discovery, requirements, launch, measurement, and iteration for the systems Coinbase's support specialists rely on to serve millions of retail customers. Drive identification and prioritization of the highest-impact problems in the CX space by partnering with frontline specialists, diagnosing operational pain points, surfacing automation opportunities, and translating them into clear product solutions. Build AI-integrated features that augment human specialists capabilities, including intellige

C
Coinbase
📍 - USA• Full-time• Remote• From $167.3K/yr
1mo ago

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 an Analytics Engineer to join the Compliance Technology team within the Platform organization. This team builds and operates data and detection capabilities that enable Coinbase to meet global BSA/AML and related regulatory obligations at scale, partnering with Compliance, Product, and Engineering to ensure monitoring and investigative controls are effective, measurable, and auditable. You'll build and own end-to-end data pipelines that power compliance detection and decisioning, improving signal quality, defining control performance measurement, and creating scalable tooling that makes compliance data easier to trust and use. What you'll do: Build and maintain curated datasets and data models (e.g., case, alert, entity, transaction, and risk features) that power compliance controls across Transaction Monitoring, EDD/KYC, and Screening systems. Own data quality for compliance datasets by implementing validation checks, monitoring, lineage tracking, and documentation to ensure outputs are accurate, complete, and audit-ready. Partner with cross-functional engineering teams and Compliance stakeholders to close upstream data gaps, standardize instrumentation, and translate control requirements into scalable data structures and feature sets. Drive detection signal quality improvements by analyzing detection outputs, identifying opportunities to reduce non-act

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C
Coinbase
📍 - USA• Full-time• Remote• From $170.8K/yr
1mo ago

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 Product Marketing Manager on the Product Marketing team within the Consumer & Business group, you'll own the go-to-market strategy for trading products in the Coinbase retail app. This team defines the narrative that Coinbase is the best place to trade across asset classes, from spot to perpetual futures and options. You'll be the connective tissue between the trading product team and marketing, driving trading volume growth through product launches, sharp positioning, and creative growth programs that turn awareness into action. What you'll do: Own the end-to-end trading PMM strategy, translating a complex product suite (perpetual futures, options, margin, spot) into customer-first positioning and messaging that drives adoption. Lead go-to-market for new trading instrument launches on the retail app, including audience strategy, value proposition development, channel planning, creative briefing, and measurement. Drive trading volume growth across the full funnel, partnering with CRM and growth teams to activate awareness campaigns, new product launches, and win-back programs targeting churned traders. Conceive and execute novel engagement programs (trading competitions, incentives, event-driven campaigns) that reach active traders and accelerate adoption of new instruments. Build deep customer understanding across trader segments, from first-time der

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Lyft
📍 San Francisco• Full-time
1mo ago

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 an Applied Scientist specializing in Machine Learning and Operations Research on this team, you will develop mathematical models and launch algorithms that power these key pricing and ETA decisions. You will leverage your skills to build ML and optimization models and productionalize pipelines that can scale to millions of calls per day while solving critical business problems that have a big impact on the marketplace and rider experience. You will get exposure to a diverse set of real-world problems across optimization, prediction, machine learning, and inference and collaborate closely with teammates and stakeholders across Pricing, from Product Managers to Engineers and Analysts. We are looking for someone who is excited about working in a fast-paced, innovative, and impactful environment, and is adept at balancing complexity and efficiency to translate real world business problems into reliable solutions, systems and decision frameworks. Responsibilities Partner with Data Scientists, Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context Write production quality code. Design, build and deploy production-grade ML and Optimization models. Able to build custom methods and tooling beyond off-the-shelf libraries. Perform data analysis and build proof-of-concepts to explore and propose ML and Optimization solutions to both new and existing problems. Evaluate machine learning systems against business goals. Collaborate with Engineers to implement algorithms in live systems and ensure the robustness of the systems Establish metrics and development measurement methodologies to monitor the health of our products, as well as the impacts on user and marketplace outcomes Drive collaboration and coordination with cross-functional teams

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Lyft
📍 San Francisco• Full-time• $128K – $160K/yr
1mo ago

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 is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft operate in dynamic environments, moving quickly to build the world’s best transportation solutions. We tackle a wide range of challenges—from shaping long-term business strategy with data, to making critical short-term decisions, to developing algorithms and models that power both internal systems and customer-facing products. We are looking for an experienced and highly motivated Data Scientist to join the Central Market Management team and lead key initiatives that enhance the quality of our overall decision-making. You’ll work cross functionally with other Data Scientists, Data Analysts, Product Managers, and Finance partners to make sure we are making the most financially efficient decisions to scale our business. You will identify gaps in our operational processes and measurements, and work to create strategies, frameworks, and models to help address them and deliver impact. Responsibilities Leverage data and analytical frameworks to identify opportunities for improving operational efficiency Define and implement decision frameworks, measurement strategies, and scientific methodologies that bring consistency and rigor to business decisions and forecasts, balancing opportunity and uncertainty Deliver integrated, high-quality analytical outputs spanning multiple projects while navigating ambiguity, cross-team dependencies, and open-ended scope Define and implement a robust attribution framework to evaluate the performance of high-stakes decisions Act as a technical lead, guiding other Data Scientists and fostering a culture of analytical excellence Write efficient, clean, production-level code (Python, SQL), ensuring reproducibility, documentation, and long-term maintainability of analytical assets B

pythonsqlai
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Lyft
📍 New York• Full-time• $128K – $160K/yr
1mo ago

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 is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft operate in dynamic environments, moving quickly to build the world’s best transportation solutions. We tackle a wide range of challenges—from shaping long-term business strategy with data, to making critical short-term decisions, to developing algorithms and models that power both internal systems and customer-facing products. We are looking for an experienced and highly motivated Data Scientist to join the Central Market Management team and lead key initiatives that enhance the quality of our overall decision-making. You’ll work cross functionally with other Data Scientists, Data Analysts, Product Managers, and Finance partners to make sure we are making the most financially efficient decisions to scale our business. You will identify gaps in our operational processes and measurements, and work to create strategies, frameworks, and models to help address them and deliver impact. Responsibilities Leverage data and analytical frameworks to identify opportunities for improving operational efficiency Define and implement decision frameworks, measurement strategies, and scientific methodologies that bring consistency and rigor to business decisions and forecasts, balancing opportunity and uncertainty Deliver integrated, high-quality analytical outputs spanning multiple projects while navigating ambiguity, cross-team dependencies, and open-ended scope Define and implement a robust attribution framework to evaluate the performance of high-stakes decisions Act as a technical lead, guiding other Data Scientists and fostering a culture of analytical excellence Write efficient, clean, production-level code (Python, SQL), ensuring reproducibility, documentation, and long-term maintainability of analytical assets B

pythonsqlai
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Dropbox
📍 Us Select Locations• Full-time• Remote• From $208.8K/yr
1mo ago

Role Description Dropbox is looking for a strategic leader to build and scale the next generation of Sales Enablement. As Head of Global Sales Enablement & AI Adoption , you will define how our sales organization learns, executes, and performs at scale. You’ll lead the strategy, operating model, and execution for global enablement while leading how sellers and managers adopt AI capabilities to transform the way they work. This role sits at the intersection of Revenue Operations, Sales, Product, Marketing, and AI adoption. You’ll partner closely with executive leadership to identify the highest-impact opportunities to improve seller productivity, accelerate strategic priorities , strengthen manager effectiveness, and create consistent execution across our global go-to-market organization. Success in this role requires balancing strategic thinking with operational excellence. You’ll build scalable enablement programs, modern learning experiences, adoption of AI-enabled workflows and tooling , and measurable operating rhythms that improve business performance—not simply deliver training. If you’re excited about building organizations, influencing executive strategy, and using AI to redefine how revenue teams work, we’d love to meet you. Responsibilities Define and execute the global Sales Enablement strategy and multi-year roadmap aligned to Dropbox’s go-to-market priorities. Build scalable enablement programs that improve seller productivity, manager effectiveness, onboarding, launch readiness, and revenue performance. Partner with Sales, Revenue Operations, Product, Product Marketing, IT, and executive leadership to drive consistent execution across global teams. Partner with GTM Technology and enterprise AI teams to identify, validate, and drive adoption of AI-enabled workflows that improve seller productivity , while maintaining responsible AI governance and usage. Establish measurement frameworks that connect enablement investments to busi

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Dropbox
📍 Canada Select Locations• Full-time• Remote
1mo ago

Role Description Dropbox is looking for a strategic leader to build and scale the next generation of Sales Enablement. As Head of Global Sales Enablement & AI Adoption , you will define how our sales organization learns, executes, and performs at scale. You’ll lead the strategy, operating model, and execution for global enablement while leading how sellers and managers adopt AI capabilities to transform the way they work. This role sits at the intersection of Revenue Operations, Sales, Product, Marketing, and AI adoption. You’ll partner closely with executive leadership to identify the highest-impact opportunities to improve seller productivity, accelerate strategic priorities , strengthen manager effectiveness, and create consistent execution across our global go-to-market organization. Success in this role requires balancing strategic thinking with operational excellence. You’ll build scalable enablement programs, modern learning experiences, adoption of AI-enabled workflows and tooling , and measurable operating rhythms that improve business performance—not simply deliver training. If you’re excited about building organizations, influencing executive strategy, and using AI to redefine how revenue teams work, we’d love to meet you. Responsibilities Define and execute the global Sales Enablement strategy and multi-year roadmap aligned to Dropbox’s go-to-market priorities. Build scalable enablement programs that improve seller productivity, manager effectiveness, onboarding, launch readiness, and revenue performance. Partner with Sales, Revenue Operations, Product, Product Marketing, IT, and executive leadership to drive consistent execution across global teams. Partner with GTM Technology and enterprise AI teams to identify, validate, and drive adoption of AI-enabled workflows that improve seller productivity , while maintaining responsible AI governance and usage. Establish measurement frameworks that connect enablement investments to busi

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Stripe
📍 New York• Full-time• Remote
1mo ago

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 Stripe's growth marketing team is responsible for driving efficient acquisition and activation of millions of businesses globally from solo founders to scaling startups. Paid media is a critical pillar of our self-serve acquisition strategy. The paid media team manages significant investment across search, social, video and other channels to acquire developers, founders, and operators who will build on Stripe. We partner deeply with growth, data science, analytics, data engineering, creative, finance and other marketers to deliver profitable growth via paid media. What you’ll do As Head of Self-Serve Paid Media, you will own and evolve Stripe's self-serve paid acquisition strategy, managing a team of 5-10 paid media experts and working cross-functionally with leaders across analytics, creative, product marketing, growth engineering, and finance. You'll be responsible for a substantial media budget and accountable for delivering efficient, scalable growth in signups, activations, and revenue. In this role, you'll own the long term strategy for how paid media delivers growth in Stripe’s self-serve business. You'll identify new channels and formats, build measurement frameworks that connect spend to business outcomes, and develop your team into world-class practitioners. You'll partner closely with data science to advance our attribution and incrementality capabilities, and with internal and external creative partners to produce high-

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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 The Communications team builds and protects the Stripe brand and influence across the world. Video and audio are increasingly important tools in shaping the world's understanding of Stripe and the fantastic companies using our infrastructure to grow—accelerating economies, creating industries, and reinventing business models in the process. What you'll do You'll be the engine of the Stripe short-form video strategy, making our content essential viewing for the world's most ambitious founders, operators, developers, and economists. Your mission is to take our rich library of content—from fireside chats with industry leaders to deep dives on the global economy—and distill it into intelligent, substantial clips (on YouTube Shorts, Instagram Reels, and more). This isn't about chasing empty clicks. It's about earning the attention and trust of a highly discerning audience. You'll also own our YouTube and Instagram video presence, transforming them into platforms renowned for their insight and quality. You'll wear a lot of hats—producer, video editor, content commissioner, social media channel strategist, measurement aficionado, and more. Responsibilities Own the Stripe YouTube channel and Instagram Reels, focused on providing additive insight to our core community of founders, developers, and thinkers Edit clips from Stripe long-form content (e.g., Cheeky Pint, firesides from Stripe Sessions and Tours), with a strong eye for the most salient

aigorust
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S
1mo ago

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 The Global Sales Enablement Team is responsible for partnering with cross-functional teams to equip our sales organizations with the skills, tools, and knowledge they need to perform at their best. We are currently leading one of the most significant transformations in Stripe's Sales history — reshaping how Sales Development operates through the adoption of AI-powered tooling and redesigning the SDR's role in driving pipeline quality. This transformation spans multiple geographies, sales motions, and hundreds of sellers. The stakes are high, the pace is fast, and the change management challenge is real. What you’ll do As a Sales Development Change Management Specialist, you will own the strategy and execution of our global change management and communications program for the Sales Development transformation. You sit at the intersection of strategy, content, and field engagement — responsible for ensuring that complex, high-priority initiatives are adopted at pace and land durably in the field. This is not a support role. You own the change narrative, the communication strategy, and the measurement of adoption. You'll partner with senior program leadership, subject matter experts, and regional enablement leads to drive consistent, high-impact transformation across a global sales organization. Responsibilities Own the end-to-end change management program — from preparing the organization for change through launch, adoption, reinforcement,

S
1mo ago

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 Science at Stripe is a vibrant community where data analysts and data scientists learn and grow together. You'll work with some of the most fundamental data at Stripe, and use that data to help drive company-wide initiatives. We have a variety of Data Analytics roles and teams across Stripe and Data Analysts are hired in line with the business needs and domain of the organization they will support. What you’ll do In this role, you'll partner deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. You'll design, build, and own the scalable data infrastructure that powers analytics and reporting across the company. Day to day, you'll translate complex business requirements into reliable data models, own end-to-end pipeline development from raw data ingestion to clean, consumption-ready datasets, and work with leaders to prioritize the highest-impact data investments. You'll go beyond building dashboards—you'll architect the data layer that makes self-service analytics possible and deliver actionable business recommendations through rigorous analysis and data storytelling. Responsibilities Design, build, and maintain scalable data pipelines and ETL/ELT workflows that power production-grade financial reporting, risk measurement, and operational decisioning for Treasury Finance Leverage AI tools (code assistants, L

pythonreactsql
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About Us: Paytm is India’s leading mobile payments and financial services distribution company. A pioneer of the mobile QR payments revolution, Paytm builds technology that enables small businesses and consumers to participate in the digital economy. Our mission is to serve half a billion Indians and bring them into the mainstream economy through technology. About the Role: We are looking for a strategic and data-driven Growth leader to own and scale growth for the Paytm for Business app. The role will be responsible for driving activation, engagement, retention and winback, with a strong focus on improving service-led product journeys and building a scalable growth engine. The ideal candidate will combine strong product and growth thinking with deep expertise in analytics, experimentation and lifecycle marketing. This is a high-ownership role that will work closely with Product, Engineering, Data, Marketing and Business teams to identify growth opportunities, design interventions and drive measurable outcomes at scale. Key Responsibilities: - Own the growth charter for the Paytm for Business app, covering activation, engagement, retention and win back. - Identify opportunities across key service product journeys and build strategies to improve user adoption, usage and retention. - Build a data-led growth engine using user analytics, cohort analysis, funnel metrics and behavioral insights. - Drive a strong culture of experimentation and rapid iteration, including hypothesis creation, A/B testing and measurement of business impact. - Own and scale lifecycle marketing / CLM initiatives across user segments and stages of the customer journey. - Leverage AI and Agentic capabilities to automate growth workflows, personalization, customer lifecycle management and decision-making. - Define and track growth KPIs, identify gaps and translate insights into actionable product and business initiatives. - Work cross-functionally with Product, Engineering, Data Science, Ma

About the Team At OpenAI, the User Safety & Risk Operations (USRO) team helps protect our products and users from abuse, fraud, safety risks, and other forms of misuse. We operate at the front line of real-world safety and risk management, translating user and operational signals into timely decisions, effective interventions, and improvements to our systems. This role sits on a team focused on building operational capacity for new, ambiguous, and fast-moving company priorities. The team defines what needs to be built, creates the operating model to support it, and works with partner teams to make the work scalable and durable over time. About the Role We are looking for a senior program manager to build the safety, quality, and risk operations supporting a new category of consumer devices. You will translate ambiguous product risks and evolving requirements into practical operating models, workflows, escalation paths, launch-readiness plans, and cross-functional decision-making. This is a foundational role: the systems you build will shape how OpenAI launches, monitors, and improves a new category of consumer devices safely at scale. You will help establish how potential safety incidents, product-quality concerns, sensitive customer escalations, privacy-sensitive issues, and other emerging device risks are identified, investigated, resolved, and incorporated into product and operational improvements. You will turn incomplete requirements into practical workflows, decision rights, launch plans, quality controls, measurement, and durable ownership. The role centers on program building, operational judgment, and execution. We welcome candidates from product safety, quality assurance, regulatory operations, technical program management, healthcare, medical devices, aerospace, consumer technology, and other environments involving complex products or regulated risks. Direct consumer-hardware experience is helpful but not required. The strongest candidates learn unfam

awsrestai
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