Measurement Partnerships Lead Jobs

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. We are seeking a highly motivated and analytical individual to join our Growth Analytics International team. This team plays a crucial role in conducting research, monitoring performance, and running experiments to develop exceptional products for both consumers and merchants while driving long-term growth for the business. As Affirm continues expanding into new international markets, this role will be instrumental in establishing the operational analytics framework for new launches, beginning with Australia and expanding into future international markets. The ideal candidate will possess strong analytical and problem-solving abilities, a collaborative mindset, an eagerness to learn, and the patience to tackle complex challenges. Our team takes an end-to-end business analytics perspective, partnering across the organization to develop recommendations and solutions that enable the business to successfully execute its growth and profitability strategies. This role requires someone who can combine analytical rigor with business acumen to influence decisions and drive measurable outcomes. What you’ll do Establish and evolve the operational analytics framework for new international markets, ensuring scalable measurement, reporting, and decision-making capabilities as we expand globally. Operate with a business owner mindset by proactively identifying opportunities through analysis and product sense to enhance user experience, growth, and profitability. Own business problems from end to end by translating analytical insights into recommendations and optimization strategies that support business growth, profitability, and operational excellence. Take ownership of the end-to-end analytics process: define success metrics, generate insights and hypotheses, track performance, and create intuitive dash

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. The TD Electrical Device Characterization team pushes the boundaries of Micron’s memory technology. We explore device behavior, uncover insights through data, and collaborate across engineering teams to enable next-generation products. We are a hands-on team that values curiosity, precision, technical rigor, and collaboration. In this role, you will drive electrical characterization for advanced memory technologies and partner with device, process, and product teams to turn measurements into actionable technical insights. Your work will help guide technology development and shape the performance and reliability of future NAND, DRAM, and emerging memory products. Responsibilities: Lead electrical characterization for advanced memory devices Develop measurement methods, algorithms, and scalable characterization standards Automate data pipelines and analysis using Python, JSL, C/C&#43;&#43;, and dashboard tools Architect test setups and manage wafer probe and ATE test flows Investigate device behavior, identify root causes, and communicate technical findings Minimum Qualifications: <span style="color:#6

Given heightened expectations from regulators and a goal to build a strong and consistent global control environment, Citi continues to enhance its business governance framework and has created the Enterprise Data group. Enterprise Data is a critical component of Citi’s first line of defense for wholesale and counterparty credit risk management and works with Independent Risk teams to ensure best-in-class risk and controls, as well as client responsiveness. Key responsibilities of the group include credit analysis, documentation, risk identification, exposure monitoring and stress testing. Enterprise Data coordinates with credit management groups across institutional client businesses to ensure full alignment on business and regulatory goals, as well as consistency and best practices. The Counterparty Credit Risk (CCR) project execution team within Enterprise Data is responsible for building tools to: Provide in-depth quantitative or qualitative analysis to solve business problems and develop new, innovative solutions Build tools to help measure, monitor and control counterparty risk for institutional clients and Portfolios and businesses, with a focus on counter-party and collateral risk to ensure the risks are being properly measured and controlled in accordance with the Firm’s risk policies. Responsibilities: As a Product Developer working in CCR project team, individual will be expected to Lead strategic BAU and Regulatory projects primarily impacting Counterparty Credit Risk exposure measures for traded product markets business Develop and enhance tools for the measurement, monitoring and reporting of counterparty exposure including Stress testing - Net Stressed Exposure (NSE), Potential Future Exposure (PFE), Settlement Risk, Intraday risk and participate in project management of strategic risk infrastructure development.</

NVIDIA has been redefining computer graphics, desktop gaming, and enhanced computing capabilities for more than 25 years. Today, we are tapping into the unlimited potential of AI to define the next era of computing. As a NVIDIAN, you will work on problems that sit at the boundary of architecture, silicon, firmware, software, and production, where strong judgment matters as much as technical depth. We're the Silicon Design for Productization (DFP) Team, within the broader Silicon Co-Design Group, and we turn power and thermal design into executable productization methodology. Power and thermal are among the most complicated problems we work on at NVIDIA because they sit at the intersection of architecture, workload behavior, silicon variation, firmware policy, platform constraints, and product goals. Small decisions here have an outsized impact on performance, efficiency, reliability, bring-up speed, and ultimately what the product can deliver in the field. We define how features move from concepts to bring-up, characterization, validation, and release. In this role, you will help us build that bridge. We're looking for an engineer who reasons from first principles, flourishes with ownership in a fast-paced environment, and uses AI with sound judgment. What you’ll be doing: Lead the effort across multi-functional teams to keep the program’s power and thermal productization strategy clear, executable, and on track. Create methodology and silicon test plan based controller designs and architecture, including characterization process, debug tools, fuse/firmware settings and lab requirements. Drive resolution for challenging silicon issues through structured hypotheses, measurement plans, and root-cause closure. Steward the Power and Thermal playbook when the existing productization methodology

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 Finance & Strategy Data Science team is a specialized Data Science group within Robinhood’s Finance & Strategy organization. Our mission is to use data, advanced analytics, machine learning, and AI to generate actionable insights, improve decision-making, and help Robinhood better understand and optimize business performance. We partner closely with teams across Robinhood including Finance, Product, Data, Engineering, Marketing, Research, and Operations. Our work spans customer and business analytics, benchmarking, forecasting, measurement frameworks, and AI-powered analytics, helping leaders make faster, more informed decisions and identify opportunities to improve performance across the company. As the Head of AI and Data Science for Finance & Strategy, you will lead and develop a high-performing team of data scientists and analytics engineers, setting the team’s technical direction and priorities while partnering with leaders across Robinhood to turn complex business questions into actionable insights. You will oversee strategic analytics, measurement and benchmarking frameworks, deep-dive analyses, and scalable data science and AI solutions. You will play

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. About PlayStation Games and Publishing Analytics In Games and Publishing Analytics, we partner with PlayStation Studios and global publishing teams to help titles succeed across the full lifecycle. We bring together marketing, audience, social, commercial, and product data to understand performance, evaluate investment, and guide decisions from pre-launch planning through launch and live service. We're looking for a Lead Analyst, Publishing Analytics who combines deep marketing- measurement expertise with strong business judgment and a talent for turning fragmented signals into clear, practical guidance. This role will lead high-impact programs across social intelligence, marketing mix modeling, and publishing decision support while helping build the data and analytical practices that allow the work to scale. What you will be doing As a Lead Analyst, Publishing Analytics, you'll work with Marketing, Community, Publishing, Product, Analytics Engineering, Data & AI, and game teams to answer complex questions about audience and player response, campaign effectiveness, marketing strategy, and long- term title and franchise health. You will: • Lead social listening, sentiment, and creator analytics across PlayStation titles and franchises, using sources such as Mel

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Forward Deployed Engineer (Applied Research) About WPP: WPP Open is our AI platform for marketing, connecting marketing professionals, data, tools and AI in one place. It is the simplest, safest and fastest way to realize the benefits of AI at scale—delivering better-informed creative ideas faster, at greater scale and lower cost. Our proprietary, opt-in media solutions give clients access to unique advantages and cutting-edge capabilities through a single point of access to addressable media, combining premium inventory with universal customer signals. They enable cross-channel storytelling, cross-platform AI optimisation and robust measurement of business impact to maximise campaign effectiveness. About the team: Strategic Initiatives & Applied Research works at the intersection of emerging technology, client demand and WPP’s product strategy. We build production-lite solutions to test strategically important opportunities, prove their technical and commercial value, and turn successful work into reusable capabilities for Product and Engineering. Our first major programme is agentic media buying

We are seeking an experienced Paid Media Audience Strategy & Data Architecture Lead to drive audience planning, activation strategy, and data-enabled marketing initiatives across the paid media ecosystem. This role combines strategic audience development with data architecture expertise, helping the organization identify, prioritize, and activate audiences that drive business outcomes. The successful candidate will lead the development of audience frameworks that answer key strategic questions: Who should we target? When should we engage them? Where should we reach them? Why are they valuable? Working closely with Marketing, Analytics, Data Science, Media, and Technology teams, this individual will translate customer insights and business goals into scalable audience strategies while ensuring data is appropriately integrated, governed, and activated across MarTech and AdTech platforms. The ideal candidate is a strategic audience expert who understands how to combine customer insights, first-party data, and marketing technology to develop effective targeting strategies. They can define who to target, when to engage them, where to activate them, and why they matter, while partnering across teams to operationalize those strategies and drive measurable business outcomes. Responsibilities: Audience Strategy & Planning: Develop audience strategies that support customer acquisition, cross-sell, engagement, and retention objectives, define target audience frameworks using customer behavior, lifecycle stage, demographics, transactional data, and behavioral signals, determine the optimal timing, channel, and messaging approach for audience engagement, partner with business stakeholders to identify high-value audience opportunities aligned with strategic priorities and establish audience selection methodologies, segmentation standards, and measurement frameworks. Customer Insights & Audi

Job Details: Job Description: Intel Corporation is the world's largest semiconductor company and a global leader in computing innovation. Our Quantum Computing Group represents Intel's bold venture into the next frontier of computing technology, leveraging our decades of semiconductor manufacturing expertise to develop silicon-based quantum processors. We're pioneering spin qubit technology in silicon quantum dots, combining cutting-edge quantum physics with Intel's unmatched manufacturing capabilities to create the world's first commercially viable quantum computers. Our collaborative approach spans the entire quantum compute stack while harnessing the power of Intel's 18A process and design infrastructure. We are seeking an exceptional Quantum Design Engineer to join our pioneering quantum computing team. In this position, you will be joining a team of incredibly talented engineers focused on the challenging task of scaling our quantum computing chips to millions of qubits. Here you will be involved in all aspects of the qubit chip process from initial conception through Process-Design-Kit definition, design execution and tapeout, along with ensuring silicon runs smoothly in fab and final system integration. You'll work closely not only with our qubit, control, system integration, and software/algorithms teams, but also with teams in Foundry lithography, process and design. You'll be working at the intersection of cutting-edge semiconductor technology and quantum physics, creating solutions that push the boundaries of what's possible in computing. Ready to help build the future of quantum computing? Apply now and be part of this extraordinary journey Key Responsibilities • Work alongside lithography, process integration, measurement, and PDK engineers to establish qubit processes and design rules • Architect qubit and readout element standard cell design and autom

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Principal Signal Integrity Engineer — Interface Pathfinding About the Role At Micron, we transform how the world uses information to enrich life for all. As a global leader in memory and storage innovation, we develop technologies that accelerate intelligence and enable the next era of AI, ML, and advanced computing. Micron’s Interface Pathfinding team operates at the leading edge of that mission — serving as a bridge between corporate strategy and engineering through forward-looking investigation and development of energy-efficient bandwidth solutions. Our work spans innovative circuit, signaling, packaging, and interconnect solutions with a 3–5 year technology horizon, grounded in rigorous analysis, hands-on measurement, and a commitment to building a robust intellectual property portfolio. As a Principal Signal Integrity Engineer , you will be a core technical contributor on a deliberately small, senior team united around the goal of preparing high-speed interface innovations for high-confidence product adoption. What You’ll Work On Micron’s Interface Pathfinding team investigates and validates novel interconnect and signaling solutions for high-speed memory and die-to-die interfaces. The signal integrity scope is broad and analytically deep — spanning electrical modeling, channel analysis, and substrate evaluation — with an emphasis on original analysis rather than execution of established playbooks. Key signal integrity domains include: Intercon

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is dedicated to developing AI assistants that are helpful, harmless, and honest. As usage of our AI services grows, we need to ensure they are not misused. The Safeguards team is at the forefront of protecting our users from the risks of powerful AIs as well as ethical, technical, and social risks from the use of generative AI. The Safeguards team at Anthropic builds protections for new AI features enabled by the research teams and protects new products and surfaces developed by our product teams. As a Product Manager for the Safeguards team at Anthropic, you will own the ideation, design, development and deployment of Safeguards systems and relevant product UX to ensure we are advancing frontier models safely to users across various cloud platforms. You will work closely with our research and product teams to develop detections, evals, interventions, and tools to measure and mitigate deployment and user risks. We are looking for a product manager who is deeply committed to making AI safe and beneficial for humanity. You are aware of the risks and are committed to working with experts and coming up with ideas for Anthropic to implement. You have deep technical expertise in development, deployment and measurement of Safeguards systems. You thrive in rapidly moving and ambiguous environments. Responsibilities Determine how to build in safety by design upstream and leverage downstream defenses for Anthropic’s frontier models, AI products, customers on different surfaces - Claude.ai, 1P API, external Cloud providers. Ability to write safety evals and communicate externally about saf

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

About the Team Netlify is a product-led growth company, and Revenue Operations owns the systems, data, and infrastructure that turn that growth into revenue. With a large volume of people discovering and signing up for Netlify every day, Marketing Operations is critical to understanding those users, connecting activity across our systems, and creating scalable ways to engage them throughout their journey. As Senior Marketing Operations Manager, you’ll own the operational foundation behind that work. You’ll connect HubSpot, Salesforce, product data, and analytics, build the systems and lifecycle infrastructure that turn signals into action, and give Marketing and our GTM partners trusted visibility into performance. Reporting to the Senior Director of Revenue Operations, you’ll translate the Marketing Operations vision into a roadmap and independently drive it forward while partnering closely with Growth, RevOps, Data, Product, and other GTM teams. What You’ll Do Execute on the Marketing Operations roadmap, translating broader Marketing and GTM priorities into scalable systems, processes, and programs. Own our marketing automation platform end to end, including workflows, lifecycle stages, segmentation, forms, lists, email operations, data hygiene, deliverability, governance, and documentation. Build and maintain the connection between marketing automation, Salesforce, product data, and analytics so we can understand and engage users throughout the customer journey. Establish reliable attribution and measurement across marketing and product-led journeys, including UTM governance and connections between campaigns, signups, activation, conversion, and revenue. Build reporting and self-service dashboards that give Marketing and GTM partners a trusted view of performance and support weekly, monthly, and executive-level decision-making. Partner with Growth to operationalize lifecycle programs across email, in-product experiences, and sales-assist triggers, turning c

RDQ227R1175 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. About Databricks Databricks is the data and AI company. More than 12,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. About the Team The Continuous Monitoring (ConMon) team at Databricks builds and operates the engineering infrastructure that keeps Databricks' security control posture visible, measurable, and defensible at all times. We build automation that continuously assesses whether security controls are actually working across cloud environments, SaaS platforms, identity systems, and enterprise applications — surfacing drift, coverage gaps, and control failures as they happen rather than at the next audit. Our work sits at the intersection of security engineering and GRC: we turn control requirements into code, evidence collection into automation, and security posture into intelligence that drives decisions. The ConMon team also maintains security tooling and scanning infrastructure to aid control evaluation. This includes scanning for secret leaks, asset vulnerabilities, and SAST. As Databricks' security program, cloud footprint, and regulatory obligations all scale, the Continuous Monitoring team is responsible for ensuring the company's control posture is always verifiable, always current, and never a surprise. The Role Databricks is looking for a Senior Manager to lead the Continuous Monitoring team. You will own the engineering function that measures whether Databricks' security controls are working — across cloud infrastructure, identity, SaaS, and enterprise systems — and turns that measurement into so

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . tvScientific by Pinterest is the Performance TV platform built for advertisers who want to drive measurable business outcomes. We combine media buying, optimization, measurement, and attribution in one platform to make CTV a more accountable, effective performance channel. As a Product Marketing Manager on the tvScientific by Pinterest team, you’ll lead go-to-market strategy for Measure and Optimize product areas. You’ll partner with Product, Data Science, Sales, Marketing and Pinterest Ads teams to turn complex advertising capabilities into clear customer value and adoption programs. This is a strategic, hands-on role at the intersection of CTV, measurement, optimization and advertising technology. What you’ll do: Develop and execute end-to-end go-to-market strategies for Measure and Optimize product units, including audience definition, positi