About the Team OpenAI’s Hardware organization develops system and infrastructure solutions designed for the unique demands of advanced AI workloads. We work closely with architecture, infrastructure, and vendor teams to evaluate system performance and guide critical design decisions. Our team focuses on building and applying performance modeling frameworks to understand system behavior, quantify tradeoffs, and inform next-generation infrastructure design. About the Role We are seeking Performance Modeling Engineers to develop and apply modeling tools that evaluate AI system performance and inform architectural decisions. In this role, you will work closely with the Performance Modeling Lead and partner teams to analyze system behavior, run simulations or analytical models, and help quantify tradeoffs across compute, memory, networking, and storage. You will contribute to building modeling frameworks and applying them to real-world questions that impact system design and vendor decisions. This role is well-suited for engineers with strong software or modeling backgrounds who are interested in developing deeper expertise in system architecture and AI infrastructure. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance. Key Responsibilities Develop and maintain performance modeling tools and frameworks. Build models to evaluate system behavior across: compute, memory, and interconnect subsystems distributed system scaling and bottlenecks. Run simulations and analytical models to support architectural tradeoff analysis. Collaborate with performance modeling lead and system architects to answer forward-looking design questions. Analyze and interpret modeling outputs, translating results into actionable insights. Validate models against real system measurements and workload behavior. Contribute to improving modeling fidelity, usability, and scalability. Qualifications Strong software engineeri
Jobs in United States
Measurement Partner in United States
231 active opportunities · Updated October 2026
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15 jobs
Explore current measurement partner jobs across United States. Filter by work mode, employment type, experience, department, date posted and distance.
$79.4K – $132.4K/yr
Position Summary Pfizer is seeking a highly motivated Scientist to join the In Vivo Pharmacology group within the Oncology Research Unit, with a focus on antibody-drug conjugate (ADC) programs. This role supports the execution of high-quality in vivo efficacy, pharmacodynamic, tolerability, and mechanistic studies that enable preclinical ADC discovery and development. The ideal candidate will demonstrate strong technical capability in oncology animal models, careful attention to study details, and a commitment to animal welfare, compliance, and scientific rigor. The Scientist is expected to contribute as a reliable technical and scientific team member while developing increasing independence in study execution, data interpretation, and cross-functional collaboration. Position Responsibilities Execute in vivo oncology studies supporting ADC discovery programs using a variety of in vivo models including syngeneic, cell line-derived, and patient-derived xenograft models as appropriate. Perform routine and advanced in vivo procedures, including tumor measurements, body weight monitoring, test article administration, clinical observations, and sample collection. Support ADC pharmacology studies assessing efficacy, tolerability, pharmacodynamic biomarkers, dose-response relationships, schedule optimization, and combination strategies. Prepare, review, and follow study protocols, dosing schedules, randomization plans, and sample collection timelines in alignment with project goals and internal standards. Maintain accurate, timely, and compliant study records using electronic data capture systems and approved documentation practices. Coordinate with project line leads, vivarium operations, pathology, toxicology translational scientists, bioanalytical, pharmacodynamic and pharmacokinetic teams, and external partners to enable efficient study execution. Assist with data quality revie
From $164K/yr
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 We are seeking a highly skilled and experienced professional to join our team as the Payments Insights Analytics Lead. In this role, you will play a critical part in executing the strategic direction of Airbnb's Payments operations. Within this role, you will enable, facilitate, and assist in streamlining integrated data-driven decision making across the Payments Platform, Product, Operations organizations. The team is committed to operational excellence and Host and Guest experience through a culture of problem-solving, guided by data and research. We inject quantitative measurements into our user journey, product, processes and implement objective indicators of success. You will collaborate in the development and implementation of policies and procedures related to receiving and processing funds. Oversee the day to day operations in partnership with finance across collection, reconciliation and settlement (e.g., timely processing of payments motioning systems for issues). Collaboration will be a key aspect of this role, as you will work closely with cross-functional teams to drive process improvements and streamline payments data globally. Your ability to effectively communicate and build relationships with stakeholders at all levels of the organization will be essential in achieving our goals. The Difference You Will Make You are passionate about solving complex problems within the Payments domain using data, insights, AI/ML models, and experimentation; adding a new perspective to existing solutions and making business decisions based on careful and thoughtful analysis You are hig
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
The Research Engineer – Mechatronics is a hands-on engineering role within the TaylorMade Research & Development team, focused on the design, prototyping, integration, and validation of electromechanical systems that advance golf equipment and player performance. This role demands deep practical expertise in mechatronics, sensor systems, electronic hardware, wiring, and embedded controls, combined with the ability to develop supporting software and user-facing tools. The ideal candidate is a builder and problem-solver who thrives in a laboratory and prototype environment, producing functional systems from concept through deployment. Essential Functions and Key Responsibilities: Design, prototype, wire, assemble, and test mechatronic and electromechanical systems used in golf equipment evaluation, performance measurement, and product development Develop and interpret wiring diagrams, schematics, and electrical specifications for custom hardware assemblies, test rigs, and IoT-connected devices Select, integrate, and characterize sensors (IMUs, load cells, encoders, pressure sensors, optical sensors, etc.) – including defining operating limits, calibration procedures, and signal conditioning requirements Design and implement IoT systems and wireless data acquisition platforms that capture real-time performance data from equipment and players Develop embedded firmware and control software for microcontrollers and microprocessors (e.g., Arduino, Raspberry Pi, STM32 or similar) to drive test automation and data capture systems Write clean, maintainable code to interface with hardware, process sensor data, and build internal and user-facing applications and interfaces; leverage AI-assisted development tools to accelerate prototyping and automate test routines; apply basic computer vision techni
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary As a Digital Analytics Senior Analyst, you will work closely with product teams to evolve and improve our digital experiences for customers and patients. You will use your analytical and problem-solving skills to define success metrics and measurement approaches to ensure our digital experiences stay healthy. You will collaborate with other motivated teammates across UX, Customer Experience Management, IT, Site Optimization, Marketing and Merchandising. Required Qualifications 1+ years of relevant experience for those in a CVSH leadership program (such as DAP, Leadership development, GMDP, etc.) OR 2+ years of relevant experience for others Preferred Qualifications Knowledge of online analytics tools such as Adobe, Coremetrics, Localytics, Webtrends, etc Experience in Tableau/Power BI, SQL (Teradata, Hadoop, Google Cloud Platform, etc.) Experience with highly quantitative analytics Project oriented, pro-active, and self-motivated work style with proven ability to manage effectively multiple projects and changing priorities in an extremely fast paced environment and constantly deliver superior results within given deadlines Strengths in structured and logical thinking, problem solving, issue resolution, and attention to detail Education - Bachelor’
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 Senior Process Improvement Professional researches best business practices within and outside the organization to establish benchmark data. Collects and analyzes process data to initiate, develop and recommend business practices and procedures that focus on enhanced safety, increased productivity and reduced cost. Determines how new information technologies can support re-engineering business 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 performed without direction. Exercises considerable latitude in determining objectives and approaches to assignments. Use your skills to make an impact Required Qualifications The Sr. Process Improvement Professional must meet one, (1) of the following requirements: Licensed Professional (LSW) in the state of Kentucky OR ability to obtain, Master’s degree from an accredited university or college in social work, psychology or related health and human services area with a minimum of one, (1) year professional experience in case management.
$100K – $500K/yr
Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is seeking a highly skilled and experienced Engineer to lead post-silicon power characterization and correlation activities for cutting-edge semiconductor products. In this role, you will be responsible for developing and executing detailed power measurement strategies on silicon, correlating results with pre-silicon models, and driving improvements across power architecture, design, and modeling methodologies. You will serve as a key technical leader, interfacing across design, architecture, validation, and systems teams to ensure silicon meets power and performance specifications under all operating conditions. This role is hybrid, based out of Toronto, ON or Austin, TX or Santa Clara, CA. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who you are A Principal-level engineer with 8+ years in silicon power analysis and characterization, and a Master’s or PhD in EE, CE, or related field. Deep understanding of digital and mixed-signal power domains, including DVFS, leakage vs. dynamic power, and power gating. Highly proficient in lab-based power measurement using oscilloscopes, current probes, power analyzers, and SMUs, plus Python/Perl/MATLAB
1671 About the Role We are seeking a Senior Signal Integrity Engineer to develop, validate, and optimize high-speed signaling solutions across blade- and rack-level architectures for advanced compute platforms. This role sits at the intersection of silicon, package, interconnect, board, and system design , with a strong emphasis on hands-on measurement, simulation correlation, and cross-functional technical communication. Key Responsibilities End-to-end signal integrity analysis for blade- and rack-level system architectures. Analyze and optimize high-speed and low-speed I/O interfaces, including PCIe Gen4/5/6, Ethernet, DDR, SerDes, SPI , I2C, etc . and related interconnects. Perform time-domain and frequency-domain simulations using tools such as Ansys HFSS, Keysight ADS, Cadence Sigrity, CST, SPICE , or similar. Support hands-on lab validation using VNA, TDR, BERT, and high-speed oscilloscopes . Correlate simulation results with lab measurements to identify margin gaps, debug issues, and improve design methodology. Collaborate with silicon, package, board, connector, cable, and system design teams to optimize I/O channel performance. Work with interconnect vendors and ODMs to guide board layout, stack-ups, routing rules, and system design decisions. Review schematics, layouts, simulation results, and validation data for blade, backplane, and rack-level hardware. Prepare and communicate clear validation reports, measurement summaries, debug findings, and technical recommendations to internal teams, vendors, and senior technical stakeholders. Required Qualifications Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or a related field . Strong experience in signal integrity for high-speed digital systems. Hands-on measurement expertise using VNAs, TDRs, BERTs, and high-speed oscilloscopes . Experience measuring and analyzing S-parameters, impedance profiles, eye diagrams, jitter, timing margins, insertion loss, return loss, and cro
About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. The Business Marketing team contributes to our broader mission of ensuring responsible and widespread adoption of artificial intelligence by developing and executing strategies that drive awareness, engagement, and usage for OpenAI’s products and platform amongst core business audiences. The Strategy & Operations function supports Business Marketing with operating models and cadences; strategic planning; portfolio, resource, and investment management; measurement and organizational learning that empower our teams to move at pace with clarity and confidence. About the Role We’re looking for a Resource Manager that will put the right work in the right place, with the right people, at the right level of effort. Creative work is where the portfolio becomes real. You will work closely with creative teams, integrated marketing, product marketing, agencies, regional teams, and leadership to ensure high-priority work has a realistic path forward. You will create clarity for teams on how to move fast, using intuitive and simple processes rather than adding complex systems or bureaucracy. This role owns the front door to business creative and integrated marketing work: intake, triage, prioritization, routing, staffing, and capacity planning across product campaigns, line-of-business motions, integrated marketing programs, launches, regional requests, and one-off asks. Because of that, this role requires a strategic thinker who applies rigor and judgment to every new idea. You will independently assess what matters most, clarify the real need behind the ask, and determine whether work should be grouped into an existing campaign, routed to another team, self-served, supported by an agency or contractor, deferred, or declined. This role may be based in San Francisco or performed remotely, subject to approved hiring locations and recruiting guidance. In this rol
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. As a Metrology Overlay Process Development Engineer you will be primarily responsible for starting up, developing, and optimizing the overlay metrology processes used for DRAM photolithography process flows. Overlay metrology is a critical need within the semiconductor industry, and in this position your responsibilities will include, but are not limited to: · Driving the understanding of new metrology technology and measurement techniques to ensure that our overlay measurement capabilities meet the precision, accuracy, and throughput required to meet our device overlay roadmaps · Partnering with metrology equipment vendors on continuous improvement of software/hardware and development of overlay techniques to support lithography process characterization, process optimization, and process control · Optimizing and maintaining the calibration of metrology systems that support our technology development · Working closely with process development and process integration engineers to optimize measurements for multiple device process flows and layer stacks · Developing applications on next generation processes and technologies within Fab 4 and qualification for tech
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. As a Metrology Operations Shift Engineer at Micron Technology, Inc. in Manassas, VA (MTV), you will be responsible for investigating, improving and maintaining measurement recipes within the Metrology department. You will work with applications team and shift team members within the department as well as shift engineers from other process areas to investigate and resolve any measurement recipe related issues as well as equipment related issues occurring within the fabrication line! Responsibilities: Resolve recipe issues with line monitoring, analyze tools, identify root cause, and intensify to process engineering teams. Engage process areas regarding measurement and inspection recipe related investigations and works with their engineering teams to identify plan of action. Involves themselves in fab-wide events that may have impacted production quality. Can organize and drive RDA/Metrology shift actions to respond to such events! Works with first shift engineers to understand recipe related concerns and is involved in execution of shift actions that are associated with such work. This includes creating recipes for new part types on all toolsets and creating custom recipes with GDM for difficult lots. Process DTS case closures and MWR’s. Provide real-time feedback to shift team members when there are any issues that are identified with these documentations. Manage WIP in the area by monitoring lots and KPI holds in the area. Ensure proper focus is placed on prior
Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the Role We're redefining how software is built and who gets to build it. Our mission is to achieve Autonomy for All: making programming accessible, collaborative, and powered by AI. Realizing that vision requires a platform that legitimate users can trust and adversarial actors cannot exploit. We're hiring a Data Scientist to help build Replit's Trust & Safety and Anti-Abuse program from the ground up. You'll turn noisy behavioral, identity, payment, infrastructure, and content signals into the measurement systems, detections, and decisions that protect Replit's users, platform, and economics. You'll work closely with Engineering, Support, Legal, Security, Infrastructure, Money, and Growth to make abuse economically unviable while keeping friction low for legitimate users. Replit sits at the frontier of AI-native abuse. Our platform is a target for phishing and scam hosting, cryptomining, LLM token farming, card and coupon fraud, referral abuse, and increasingly, abuse driven by AI agents themselves. You'll help define how we identify, measure, and respond to these threats without compromising the experience of good users. Who You Are You're a data scientist who moves fast, goes deep, and thinks adversarially. You can spin up an analysis in hours that would take others days, not by cutting corners, but because you've built the intuition and technical toolkit to get to the right answer quickly. You dig past the top-line abuse rate to understand selection effects, missing labels, policy changes, attacker adaptation, and the false positives hidden inside an aggregate metric. You understand that Trust & Safety data is imperfect and outcomes are high stakes. Ground truth is delayed, biased, and often incomple
From $139K/yr
Reports to: Head of Developer Growth · New York, NY NOTE: This is not a traditional marketing role, it's a growth role that reports into the Product org. We're hiring someone to build our developer audience the way the best consumer brands build audiences, with a real voice, a point of view, and the speed to act on both. You'll own where and how we show up in the places developers actually spend time, run our developer social channels, expand into new ones, and build the tooling and measurement behind it. This is a builder role, not simply a coordination role. What You'll Do: Own the voice, editorial standard, and publishing cadence for Datadog's developer channels (@datadogdevs on X, Datadog Developers on LinkedIn) Treat replies as a primary surface. The best accounts win in the mentions, not the feed Expand into the places developers actually spend time: Reddit, YouTube, Discord, Bluesky, dev.to, Hacker News, and whatever you make the case for. Always openly as Datadog — developers catch anything else immediately, and you only get caught once Turn shipped engineering work into things people want to read and watch. Releases, changelogs, war stories, the occasional postmortem that deserves a wider audience Build the attribution model connecting what you publish to trials and signups. Nobody is handing you this one Run real experiments: a hypothesis, a readout, and the willingness to kill something publicly when it doesn't work Lead the developer content engine around events Get other people posting — Datadog engineers under their own names, and developers outside the company who already like us and could use the support Track what developers are saying about us and our competitors, and route it back to product and growth Who You Are: You've grown an audience from a small number to a large one You can point to outcomes your content moved, not just reach You're a strong writer with a distinctive voice, and you know the difference between writing about an audience and
From $212K/yr
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 Difference You Will Make: Airbnb is entering a new era—reimagining how fraud, safety, and quality are measured, protected, and elevated across the digital landscape. Reporting to the Director of Advanced Analytics, Fraud & Safety, you will lead a dispersed team of ~8 advanced analysts tasked with turning safety measurement into governed, self-serve decision systems for Policy, Ops, Legal, Product, and Engineering. You will be a pivotal leader safeguarding Airbnb’s global community. You’ll steer a multidisciplinary team that designs, delivers, and scales state-of-the-art analytics for: Safety (physical & digital) Connected-account & circumvention detection Privacy protection & risk management This role isn’t just about reporting what happened; it’s about building the systems that help Airbnb see around corners. You will democratize data access, build always-on scenario simulators for fraud and safety, and turn incident impacts into seamless signals for continuous improvement. Your insights and systems will empower every stakeholder—from legal to operations, policy to product—to make bold, data-driven, and context-aware decisions in real time. A Typical Day: Own end-to-end analytical workflows for platform safety controls: data ingestion, feature engineering, modeling, experimentation, and visualization. A core mandate is to co-own and drive the enterprise-wide “Safety Single Source of Truth” (SSoT) strategy —a unified, structured data asset and taxonomy that underpins decision-making across Product, Operations, Policy, and Legal. Ensure metrics are future-proof, privacy-compliant, and g
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