Measurement Partner Jobs

About the Team Enterprise Verticals builds role-specific ChatGPT Work experiences for high-value enterprise workflows. We combine product engineering, plugins and skills, connectors, data, evaluations, and customer evidence to turn useful demos into reliable daily work. This opening sits within the Technology vertical inside Enterprise Verticals. The group focuses on repeatable workflows for people at technology companies, beginning with functions such as data and analytics, sales, and design, and carries the shared platform needs—tool integration, permissions, quality measurement, and safe rollout—across those experiences. We work closely with Design, Research, GTM, Security, and platform teams, as well as with customers and design partners. Success means that people can reach a trustworthy first result, understand what the system did, and keep using the workflow—not merely that a prototype exists. About the Role We are looking for an exceptionally experienced, hands-on full-stack engineer to define and build the next generation of AI-powered enterprise workflows. You will take on the hardest and most ambiguous problems in the Technology vertical: translating real customer needs into product direction, designing the systems behind the experience, and personally writing and shipping production-quality code across the stack. You will own the technical direction and end-to-end delivery of products spanning ChatGPT Work surfaces, backend services, plugins, connectors, enterprise data, permissions, and evaluations. You will make foundational architecture and product tradeoffs; establish patterns other engineers can build on; and hold these experiences to a high bar for reliability, security, observability, and customer value. This is an individual-contributor role for an engineer who leads through technical judgment, direct execution, and influence—not people management. You should be equally comfortable working directly with customers, setting direction with senior cro

About the team Models are becoming increasingly capable—moving from tools that assist humans to agents that can plan, execute, and adapt in the real world. Mitigating the frontier risks resulting from these capabilities is paramount to OpenAI’s ability to continue deploying models safely. The Preparedness team is dedicated to addressing these critical risks. Our work includes: Measurement. Monitoring and predicting the evolving capabilities of frontier AI systems. Mitigation. Keeping misalignment safeguards, alignment tools, and on track to adequately address extreme threats that might arise in the future. Coordination. Setting mitigation targets by maintaining OpenAI’s preparedness framework , and partnering with other staff to achieve these targets. This is urgent, fast-paced work that has far-reaching implications for the company and for society. About the role Preparedness is hiring strong technical executors to support preparations for accelerated AI development, which may culminate in recursive self-improvement. This work relies on anticipating misalignment risks that might exist in the future, but might not exist now; so it’s especially important that people in this role are tasteful and strategic. The role is wide-ranging, covering any mitigation for loss of control risk, spanning the design and implementation of better pre-deployment risk-assessment , control measures , RSI-relevant training interventions, and turning one’s technical work into established institutional practices and external-facing communications. Below is a subset of our focus areas: Scalable oversight: Establishing practices for model misbehavior monitoring and oversight which remain effective in superhuman model capability regimes, with a focus on bridging from today’s monitoring approaches to future-proof ones. Automated auditing: As model capabilities increase, we’ll increasingly rely on automated approaches for finding the most severe forms of model misalignments. We’ll both need to s

About the Team Enterprise Verticals builds role-specific ChatGPT Work experiences for high-value enterprise workflows. We combine product engineering, plugins and skills, connectors, data, evaluations, and customer evidence to turn useful demos into reliable daily work. This opening sits within the Technology vertical inside Enterprise Verticals. The group focuses on repeatable workflows for people at technology companies, beginning with functions such as data and analytics, sales, and design, and carries the shared platform needs—tool integration, permissions, quality measurement, and safe rollout—across those experiences. We work closely with Design, Research, GTM, Security, and platform teams, as well as with customers and design partners. Success means that people can reach a trustworthy first result, understand what the system did, and keep using the workflow—not merely that a prototype exists. About the Role We are looking for a full-stack product engineer who can own ambiguous enterprise workflows end to end: understand a customer problem, shape the product, build across frontend and backend, work through platform dependencies, instrument quality, and learn quickly with design partners. You will build across ChatGPT Work surfaces, services, plugins, connectors, and data or permission boundaries when the experience requires it. You will make quality and rollout observable through evaluations, product and operational signals, and clear fallback or rollback paths. This is a product-engineering role for someone who can move between user problems and system details without losing ownership of either. The strongest candidates will be able to turn specific customer evidence into a generalizable product, explain scope and architecture tradeoffs, and carry a feature from an early prototype through a bounded production rollout. In this role, you will: Build and ship role-specific workflows across ChatGPT Work surfaces, services, plugins, and connectors. Turn customer a

About the Team OpenAI’s Education team is building products that advance how people learn with AI. The team works across higher education institutions, K-12 districts, and country-level partnerships, including applied research on how AI affects learning and cognitive outcomes. The team owns owns ChatGPT Edu, ChatGPT for Teachers, and related product/research work. The team partners closely with go-to-market, research, Consumer Learning, and model teams to turn education-specific insights into product experiences that can improve ChatGPT more broadly. Some of our recent work: New Education Plugins for ChatGPT Work and Codex New tools for understanding AI and learning outcomes Education for countries Advancements in higher education Early product work - Introducing Study Mode About the Role We’re looking for a hands-on Tech Lead Manager to lead and manage a team of senior full-stack engineers building AI-native learning experiences in ChatGPT. This person will combine technical execution, product judgment, and people leadership: they will write and ship code, manage engineers, and help shape the product direction for how students and Educators use AI. In This Role, You Will Lead and manage a team of three senior full-stack engineers. Build product experiences for ChatGPT Education, ChatGPT for Teachers, and AI-native learning workflows. Partner with research teams on field studies, randomized control trials, classifiers, data pipelines, and cognitive-outcome measurement. Collaborate with Consumer Learning and model teams to translate education insights into broader ChatGPT behavior and product improvements. Drive execution across product, engineering, research, go-to-market, and partner teams. Help define product strategy, priorities, and delivery plans for a new product pod. You Might Thrive In This Role If You Have several years of direct people-management experience with engineers. Are still highly technical and comfortable doing IC engineering work. Have strong pr

About the Team The ChatGPT Model Flywheel team unified goal is to transform model advancements into great ChatGPT user experiences through reliable serving, rapid experimentation, safe deployment, and continuous improvement. Team Focus Areas Model Experimentation: Enable rapid, safe model validation for ChatGPT and Codex products through experiment automation and lifecycle management. Model Deployment: Ensure safe, scalable deployment of model capabilities with robust rollout and operational tooling. Automate capacity management and incorporate platform-wide health monitors. Model Measurement: Build comprehensive evaluation and measurement systems for model quality, from user signals to launch scorecards. Improve end-to-end feedback loops for continual model improvement. Key Partnerships Collaborate cross-functionally with teams including Model Measurement DS, Research, Codex, Fleet, Inference, and API. In this role, you will: Elevate and consolidate ChatGPT’s harness, context management, and system prompt frameworks. Drive expansion and improvement of multi-tier model experiences. Support and scale self-serve experiment capabilities and automated guardrails. Lead model rollout automation, capacity management, and health monitoring. Shape end-to-end measurement systems (evals, grader signals, user feedback, etc.). You might thrive in this role if you have: Proven experience leading engineering teams in complex, cross-functional environments. Demonstrated success shipping production systems at scale (ideally for AI or large backend services). Deep understanding of model-driven product development, deployment lifecycle, and measurement tooling. Excellent communication and collaboration skills—experience interfacing directly with engineering, research, and product stakeholders. Prior involvement with large language models, distributed infrastructure, or experimentation platforms is a plus. Why Work With Us Tackle highly impactful technical challenges at the cutting edg

About the Team OpenAI's Human Data Team creates custom data solutions driving groundbreaking research. Our work enhances and evaluates our flagship models and products like ChatGPT, GPT-5, and Sora, and contributes to safety initiatives through collaboration with our Preparedness and Safety Systems teams. About the Role As a Research Program Manager (RPM) in the Human Data team you will partner with research and engineering to design and implement pragmatic solutions for collecting high-quality data. You will be a key interface between our research roadmap, external vendors, AI trainers, and the Human Data engineering team. This role is based in our San Francisco HQ. In this role, you will: Collaborate with Research: Partner with researchers to scope data collection needs, define success metrics, and establish quality measurement frameworks. Design & Execute Data Collection Campaigns: Translate research needs into actionable plans and accelerate execution by leveraging existing tooling and iterating to reach the desired outcome. In many cases, you will need to implement scrappy new solutions while partnering with engineering to design robust/scalable solutions. Unblock Yourself: You must be deeply uncomfortable with the idea of sitting around waiting for external dependencies, and have the technical acumen and drive to figure out how to achieve at least partial success in the interim. Optimize Systems & Processes: Build and optimize dashboards to track campaign performance, leveraging SQL and Python for data analysis and actionable insights. Drive Technical Roadmaps: Collaborate with engineers to enhance data platforms, resolve blockers, and ensure security best practices such as access management. Scale Your Impact : Advise and empower program managers and vendors to drive day-to-day execution so that you can focus on addressing high priority opportunities. You might thrive in this role if you: Are proficient in SQL and Python for data analysis, including q

About the Team The Intelligence and Investigations team seeks to rapidly identify and mitigate abuse and strategic risks to ensure a safe online ecosystem. We are dedicated to identifying emerging abuse trends, analyzing risks, and working with our internal and external partners to implement effective mitigation strategies to protect against misuse. Our efforts contribute to OpenAI's overarching goal of developing AI that benefits humanity. The Strategic Intelligence & Analysis (SIA) team provides safety intelligence for OpenAI’s products by monitoring, analyzing, and forecasting real-world abuse, geopolitical risks, and strategic threats. Our work informs safety mitigations, product decisions, and partnerships, ensuring OpenAI’s tools are deployed securely and responsibly across critical sectors. About the Role As an Agentic Risk Analyst, you will shape OpenAI’s operating picture for current agentic risk across products and platforms. You will bring a strategic, system-level perspective to current risks, connecting individual incidents, technical findings, abuse patterns, and external developments to relevant workstreams, mitigations, owners, dependencies, and residual gaps. You will analyze how risks emerge through autonomy, multi-step task execution, tool use, memory, retrieval, connectors, computer-use capabilities, and multi-agent workflows, with a particular focus on both adversarial misuse and unintended system behavior. By synthesizing signals from investigations, evaluations, red teaming, security reviews, product launches, external research, and real-world incidents, you will maintain a current view of material risks and evolving threat patterns. Your work will help turn complex and often ambiguous signals into coordinated decisions and measurable follow-through across product, safety, security, policy, and governance teams. You will work closely with investigators, engineers, product, policy, safety, and security teams, and measurement and forecasting

About the Team Like every team at OpenAI, the Marketing team contributes to our broader mission of ensuring responsible and widespread adoption of artificial intelligence. With that aim in mind, we are responsible for developing and executing strategies that drive awareness, engagement, and usage for OpenAI’s products and platform amongst our core audiences. Our focus extends beyond just promoting product features; we aim to provide valuable insights and resources that help our users make the most out of AI technologies. The Marketing Insights & Analytics team aims to understand the markets, audiences, behaviors, attitudes and needs to shape outreach strategies and inform product and business decisions. We’re the strategic partner that discovers insights, specifically: foundational understanding, marketing strategy, thought leadership, measurement and tracking. About the Role You will be the Market Research Lead that translates insights into actionable marketing plans and executions, drive business results, and orient the team towards strategic thinking to drive brand outcomes. This is critical as we hope to reach millions of users and businesses worldwide. This role can be based in San Francisco, CA or NYC, NY utilizing a hybrid work model (3 days per week in-office). In this role, you will: Play an integral part of Marketing and be a strategic partner to brand, product marketing, creative, product and beyond. Design, execute, and deliver high-impact research using mixed methods. Work on a diverse portfolio of business challenges - how do we reach the next billion people, how do we grow internationally, how do we position our suite of products, and how do we ship joy to our customers. Translate business questions into research plans. Translate data into clear, compelling narratives. Develop deep empathy for developers, builders, and technical decision-makers, understanding their workflows, motivations, and pain points across the lifecycle Shape go-to-market str

Become a part of our caring community The Senior Process Improvement Professional analyzes and measures the effectiveness of existing business processes and develops sustainable, repeatable and quantifiable business process improvements. The Senior Process Improvement Professional work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. The Humana Pharmacy Benefits Management (PBM) Strategy Enablement team partners with PBM teams to improve processes that will help our members improve their lives through better health outcomes. This role, within the Process Improvement (PI) team of Strategy Enablement, will work closely with PBM leaders, as well as key partners in leading and delivering on initiatives and process capabilities that enable improved effectiveness, efficiency, and experiences (member, provider and associate). The Senior Process Improvement Professional: Researches best business practices within and outside the organization to establish benchmark data. Defines and leads business improvement projects aligned with business strategies and operational priorities. Collects and analyzes process data to initiate, develop and recommend business practices and procedures that focus on member experience, increased productivity and efficiency and reduced cost. Determines how new information technologies can support re-engineering business processes. May specialize in one or more of the following areas: benchmarking, business process analysis and re-engineering, change management and measurement, and/or process-driven systems requirements. Begins to influence department's strategy. Makes decisions on moderately complex to complex issues regarding technical approach for project components, and work is perf

Role Description DocSend is expanding from a virtual data room solution into a deal execution platform. We’re seeking a Product Manager to help shape the next phase of DocSend’s growth. As a Product Manager on DocSend, you’ll own a broad set of customer experiences spanning from foundational workflows, like onboarding and content management, to our largest strategic initiatives, like AI-powered document analysis and multi-product integration. You’ll work closely with Engineering, Design, Data, and cross-functional partners to understand customer needs, set priorities, make product tradeoffs, and turn opportunities into high-quality experiences. This is an end-to-end product ownership role. You’ll combine customer empathy, quantitative and qualitative insight, strong product judgment, and clear communication to determine which problems matter most and guide the team from discovery through launch and iteration. Responsibilities Own customer-facing DocSend product areas end-to-end, from identifying customer problems and defining strategy through prioritization, execution, launch, measurement, and iteration. Drive foundational improvements across experiences, balancing near-term customer needs with the long-term quality and health of the product. Identify and develop strategic opportunities across Dropbox and DocSend, including multi-product experiences. Develop a deep understanding of DocSend customers through research, product data, feedback, and direct customer context, translating insights into clear product decisions and priorities. Partner closely with Engineering and Design to define problems, evaluate options and tradeoffs, maintain a high quality bar, and guide cross-functional execution. Define success measures, use quantitative and qualitative evidence to evaluate outcomes, and adapt the roadmap as customer needs, business priorities, technology, and market conditions evolve. Use AI and automation thoughtfully to improve workflows Requirements 5

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary VP, Advertiser Sales Lead VP, Commerce Media Advertiser Sales Lead, North America ABOUT MASTERCARD SERVICES Mastercard Services is a key differentiator for Mastercard, providing cutting-edge solutions that help our customers achieve their objectives. Centered on data-driven technologies and innovation, our services include payments-focused consulting, loyalty and marketing programs, data-driven platforms, and cybersecurity solutions. ABOUT THE CONSUMER ACQUISITION & ENGAGEMENT ORGANIZATION Sitting within the Services umbrella, Mastercard Consumer Acquisition and Engagement solutions bring consumer and cardholder engagement to the next level. We deliver better outcomes through personalized, relevant experiences and rewards. Our suite of solutions provides businesses with a sophisticated infrastructure that integrates data and technology across the consumer journey. This role focuses on Mastercard Commerce Media (MCM), our commerce media network and advertising solutions business. MCM combines Mastercard's differentiated commerce signals with a closed-loop measurement framework and media activation capabilities to help advertisers drive measurable performance and best-in-class returns. The VP, Commerce Media Advertiser Sales will focus exclusively on the demand side of the MCM busine

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

Become a part of our caring community Humana is seeking a Lead Product Manager, Medication Experience & Pharmacy Solutions to lead the strategy, discovery, delivery, and optimization of digital experiences that help members understand, manage, and maximize the value of their prescription benefits. This highly visible role sits at the intersection of pharmacy, health insurance, member experience, and digital product innovation. The Lead Product Manager will own the product lifecycle end-to-end, from identifying customer and business opportunities through defining features and stories, partnering across Design and Engineering, driving delivery, and measuring outcomes. Success requires strong strategic thinking, customer obsession, analytical rigor, and the ability to influence cross-functional stakeholders in a highly matrixed environment. The role directly supports Humana's goals of improving member experience, increasing digital engagement, reducing friction in medication-related journeys, and helping members make informed healthcare decisions. Why Join This Team This role offers a unique opportunity to solve meaningful healthcare problems at scale. You will help millions of members better understand their benefits, manage medications, reduce prescription costs, and make more informed healthcare decisions. Unlike many product organizations, our Product Managers own the entire product lifecycle, providing an uncommon level of ownership, accountability, and impact from strategy through implementation and measurement. Responsibilities Define and execute product strategy, vision, and roadmap for Medication Experience and Pharmacy Solutions Identify member, business, and operational opportunities through research, analytics, VOC, and stakeholder insights Lead product discovery efforts to validate problems, oppor

The Programmatic Media Group Manager is a highly experienced and influential leader responsible for shaping, executing, and optimizing Citi's programmatic media investments, specifically leading Citi’s programmatic media team. This pivotal role requires over 10 years of progressive experience, demonstrating expert-level, hands-on proficiency in leading media activation platforms, coupled with strategic oversight of technical implementations, advanced optimization methodologies, and rigorous analysis of performance and quality metrics. The incumbent will lead a hands-on-keyboard team, safeguarding Citi’s brand while driving significant business outcomes, managing and mentoring programmatic professionals, and ensuring robust governance and operational excellence. Reporting into the Head of Media Transformation and AdTech, this role is essential in influencing both Citi’s internal approach and the broader industry ecosystem through best-in-class strategic technology partnerships, positioning Citi at the forefront of a privacy-first, opt-in advertising experience. Responsibilities: Strategic Leadership & Team Management: Lead, mentor, and develop a high-performing in-house team of programmatic media analysts and coordinators. Oversee day-to-day operations, foster a culture of continuous learning, ensure high performance, and facilitate career growth for team members. Experience building and scaling an in-house programmatic media team is a significant plus. Advanced Platform Strategy & Execution: Define and lead Citi’s future-proof platform capabilities strategy, identifying, evaluating, and implementing best-in-class solutions for media activation, sophisticated optimization, and robust measurement. Maintain expert-level, hands-on proficiency in leading programmatic buying platforms, including non-negotiable expertise in DV360, to guide advanced campaign architecture, intricate bid strategies, and complex opti

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 HBM Design Technology Package Co-Optimization (DTPCO) organization is seeking a Staff Engineer! Lead the design and development of test vehicles that enable technology learning and risk reduction for future HBM products! This role serves as a key technical contributor within DTPCO, partnering closely with Architecture, Design, Layout, Product Engineering, Reliability, and Advanced Packaging teams to translate emerging product requirements and technology challenges into actionable test vehicle solutions. You will apply expertise in semiconductor design, physical implementation, silicon characterization, and advanced packaging technologies to define test structures, develop validation strategies, and generate data that drives product decisions across future HBM generations. Unlike a traditional product role centered on ownership of product blocks, this position emphasizes enabling learning in development and engineering. It does so by developing representative test vehicles and characterization structures. Key Responsibilities Serve as a technical lead for HBM test vehicle design and structure development within DTPCO. Partner with HBM product, technology and reliability team. Define and implement test structures targeting key learning areas such as package interaction and reliability Drive test vehicle content definition, structure specifications, measurement requirements, and validation objectives. Analyze silicon characterization and qualification results to identify optimization opportunit