Measurement Lead Jobs

Job Details: Job Description: The Role and Impact Are you interested in GPU and AI accelerator hardware and want hands-on experience designing and bringing new technology to life? As a GPU & AI Accelerator Hardware Design Undergraduate Intern , you will work alongside experienced engineers developing next-generation GPU and AI accelerator platforms. You will gain practical experience across PCB and board design, power delivery, circuit design, simulation, board bring-up, validation, debugging, and automation. This internship provides an opportunity to apply concepts learned through coursework, labs, research, and technical projects to real-world hardware challenges while collaborating with Intel's cross-functional engineering teams. What You’ll Do Depending on project and team needs, you mayhave the key responsibilities will include but not limited to : Support GPU and AI accelerator board and power design from concept through bring-up and validation. Assist with PCB schematic design, layout, component selection, and Bill of Materials (BOM) development. Learn to troubleshoot challenges involving high-speed board, power, digital, and analog design. Use engineering and simulation tools such as Cadence, Sigrity, SIMetrix, Mathcad, MATLAB, PowerDC, or similar tools. Participate in board bring-up, characterization, validation, and hardware debug. Use laboratory equipment such as oscilloscopes and thermal measurement equipment and support soldering/rework activities. Assist with evaluating power requirements and power-delivery solutions for GPU and AI accelerator designs. Develop or improve test methods and use Python or other scripting languages to automate measurements and data collection. Gain exposure t

Sr Product Manager Description - Product Manager – AI-Powered Seller Recommendations Role Overview We are looking for a strategic, customer-obsessed, and data-driven Product Manager to define and build an intelligent recommendation product that helps our internal sales teams identify which products, solutions, and offers are most relevant for each customer . This product will bring together customer signals, product usage, purchase history, account characteristics, seller activity, market insights, and business priorities to generate actionable recommendations for sellers. The product should help sellers answer questions such as: What should I recommend to this customer next? Which products or solutions are most relevant to this customer's needs? Which customer signals indicate a potential opportunity? Why is a particular product being recommended? What is the best next action for this account? Which opportunities should I prioritize across my customer portfolio? The Product Manager will own the product vision, strategy, roadmap, business case, and execution for this capability, working at the intersection of AI/ML, data, CRM, sales enablement, enterprise software, and commercial strategy . This role requires a unique combination of product management, structured problem solving, commercial acumen, analytical thinking, and the ability to influence senior stakeholders across a complex organization. The ideal candidate will be comfortable moving between strategic questions, such as defining the future of AI-powered selling, and detailed product decisions around recommendation logic, ranking, explainability, seller experience, experimentation, and measurement. Key Responsibilities Product Vision & Strategy<

About the role We're hiring a Lifecycle Marketing Manager to join our Lifecycle & CRM Marketing team. In this role, you'll build and optimize campaigns that engage, retain, and grow Chime members across their lifecycle — from acquisition through long-term retention — with a focus on member experience, revenue, and LTV. This is a role for a hands-on marketer who thinks beyond the send. You'll work across email, push, in-app, and SMS, building campaigns grounded in member behavior and lifecycle signals. You'll partner with data, analytics, and cross-functional teams on segmentation, experimentation, and personalization — and you bring genuine enthusiasm for how AI tools are changing what's possible in lifecycle marketing. This is a growth role for someone early in their career who has already shown they can execute and is hungry to build toward strategy. You move fast, ask good questions, and care about the member experience in everything you do. If you're curious, driven, and love working in a fast-paced environment alongside people who care about the product and the member, we want to meet you. What you'll do Build and manage lifecycle campaigns across email, push, in-app, and SMS — from brief through launch and measurement Think in journeys, not just individual sends — you'll map member flows based on what they do, where they are in their lifecycle, and what they need next Develop audience segments that go beyond demographics and reflect where members actually are in their relationship with Chime Run experiments and come back with a clear point of view on what worked, what didn't, and what to do next Work closely with data and analytics partners to understand campaign performance and what member behavior is telling us Use AI tools in your day-to-day — for drafting, content variation, personalization logic, or finding efficiencies. Respect and apply channel best practices and consider channel health in building your strategy and programming: deliverability

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 The Solution Architect, Epic STARS is responsible for the design, optimization, and strategic direction of Epic-based solutions supporting Medicare Star Ratings, HEDIS, and NCQA quality measure performance. This role bridges clinical quality strategy and technical Epic build, ensuring that quality measure workflows, data capture, and reporting infrastructure within Epic Healthy Planet and related modules accurately support Star Ratings improvement initiatives across the organization. The ideal candidate combines deep Epic technical expertise with a strong understanding of value-based care, population health, and quality measurement methodologies. Key Responsibilities Solution Architecture & Design Architect and design Epic Healthy Planet, Reporting Workbench, Clarity/Caboodle, and SlicerDicer solutions to support Medicare Star Ratings, HEDIS, and NCQA measure tracking and gap closure. Translate quality measure specifications (CMS Star Ratings, HEDIS technical specifications, NCQA requirements) into functional and technical Epic build requirements. Design scalable data models and reporting frameworks that support accurate, auditable quality measure calculation and Star Ratings performance monitoring. Own the end-to-end technical roadmap for Epic STARS-related builds, including registries, care gap alerts, best practice advisories

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 . As a Senior Staff Product Manager for Adversarial Actors, you'll own the end-to-end strategy for inauthentic behavior on Pinterest. This includes detection and enforcement for bots, account takeovers, and spam across the entire Pinterest funnel. You’ll partner closely with teams across Pinterest, including Policy, Operations, Engineering, and Data Science to protect Pinners, advertisers, and the business. What you'll do: Define and deliver Pinterest's company-wide adversarial strategy spanning pre-authentication, login/signup, and post-authentication surfaces — setting multi-year vision, aligning executive stakeholders, and driving coordinated investment across Policy, Ops, MLE, Integrity Analytics, Data Science, Security, and Identity. Develop and execute on the post-authentication roadmap, including measurement, detection s

About the Team The Growth team drives user and revenue growth across ChatGPT’s consumer and business segments as well as other OpenAI products worldwide. We operate across the full funnel - from awareness and acquisition through activation, retention, and expansion - using a combination of global performance marketing, AI-powered workflows, in-product optimization, insights, experimentation, and creative ops engineering. Our Growth Marketing team is a rapidly scaling functional area, accelerating growth by connecting out-of-product and in-product experiences into seamless journeys that acquire, retain, and re-engage users, unlocking ChatGPT’s transformative potential in users’ daily lives. We work cross-functionally with product, engineering, design, data science, finance, and marketing to unlock scalable growth levers and deliver measurable impact across diverse markets. This team thrives on rapid testing, rigorous measurement, and creative problem solving, all while keeping user value at the center of our decision-making. About the Role In this role, you will build and run the creative and advertising operations system that powers OpenAI’s paid marketing programs. You will connect Creative and Growth Marketing teams, establish clear processes for producing and launching high-quality ads, and keep the operational details behind paid campaigns organized, accurate, and scalable. You will help translate growth priorities into creative briefs and testing roadmaps, coordinate assets and approvals across internal teams and external partners, and turn performance results into clear next steps. 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 to new employees. In this role, you will: Build and manage the end-to-end paid creative operating system , including creative intake, briefing, production, asset delivery, approvals, trafficking, launch, reporting, and iteration. Serve as the day-to-da

JLL empowers you to shape a brighter way . Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Property Executive What this job involves: The Property Executive are the key front line of the Contractor in responding and attending to each Site and Employer Representatives, and including supervision to ensure that the Works and Services under the Contract are rendered and performed professionally, effectively, and efficiently. Assist the SFM and FM as the Site supervisors and assist the Core Team but not limited to the following: in all site measurement and records, uploading of field data to the computerised FM system, planning of works and services including considerations for improvement works, and controlling the resourcing and support of subcontractors and specialists. Required Qualifications: Possess a Diploma preferably in Building, Technical or Facilities Management or relevant disciplines from a recognised establishment (preferably with M&E background) with a minimum 3 years relevant working experience as a Property Executive/equivalent role or at least 8 cont

About the Team DoorDash is building the world's most reliable on-demand, logistics engine for delivery. We are continuing to grow rapidly and expanding our Engineering offices globally! We are looking for Software Engineers, Machine Learning to build and maintain a large scale 24x7 global infrastructure system that powers DoorDash's 3-sided marketplace of Consumers, Merchants and Dashers. About the Role As a Software Engineer, Machine Learning, you’ll be conceptualizing, designing, implementing, and validating algorithmic improvements to the catalog system and our product knowledge graph at the heart of our fast-growing grocery and retail delivery business. You will use our robust data and machine learning infrastructure to implement new ML solutions to make our product knowledge graph accurate, standardized, semantically rich, easily discoverable, and extensible. We’re looking for someone with a command of production-level machine learning and experience with solving end-user problems who enjoys collaborating with multi-disciplinary teams. This role is hybrid with some in-office time expected and will report to an Engineering Manager. You're excited about this opportunity because you will... Develop advanced machine learning models to improve ads efficiency and quality. Design and build optimization algorithms for budget pacing and automated bidding to achieve various advertising goals. Establish a data-driven framework to understand how the bid density and market competitiveness would affect advertising value and platform revenue. Develop new data solutions (eg. embeddings and consumer profiles) to target the relevant audience. Be responsible for the end-to-end ML lifecycle, including ideation, offline model training, online shadowing/deployment, experimentation, and post-launch monitoring/measurement. Build and extend the current data/ML infrastructure to empower Ads data applications including data analysis, ML modeling, and experimentati

About the Role As a Senior Software Engineer, Machine Learning, you’ll be conceptualizing, designing, implementing, and validating algorithmic improvements to the catalog system and our product knowledge graph at the heart of our fast-growing grocery and retail delivery business. You will use our robust data and machine learning infrastructure to implement new ML solutions to make our product knowledge graph accurate, standardized, semantically rich, easily discoverable, and extensible. We’re looking for someone with a command of production-level machine learning and experience with solving end-user problems who enjoys collaborating with multi-disciplinary teams. We expect Senior Engineers to be able to own projects end-to-end and mentor their junior and mid level peers. This role is hybrid with some in-office time expected and will report to an Engineering Manager. You're excited about this opportunity because you will... Develop advanced machine learning models to improve core parts of your teams scope. Be responsible for the end-to-end ML lifecycle, including ideation, offline model training, online shadowing/deployment, experimentation, and post-launch monitoring/measurement. Work on creating novel ML & AI solutions that push both our business and the industry forward. Scale our systems and services to fuel the growth of our business. Completely disrupt logistics by tackling bleeding-edge, technical problems We're excited about you because you have... M.S., or PhD. in a technical field such as computer science, mathematics, statistics, physics or equivalent. 5+ years ML industry experience with a solid understanding of machine learning algorithms and fundamentals. Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software Experience building data/feature engineering pipelines at scale using Pyspark and Snowflak

About the Team Our team builds classification and evaluation systems that give post-training and research teams fast, reliable feedback on model behavior. We combine machine learning and production engineering to make these capabilities accurate, efficient, and useful at scale, helping researchers assess changes and improve models and products. We work closely with research teams to develop useful measurements and make them practical to run. Our work spans classifier development, rigorous evaluation, and efficient production inference, with ownership from initial experimentation through deployment and continued improvement. About the Role We’re looking for a machine learning engineer to develop new classification and evaluation capabilities and bring them into production. You’ll help turn open-ended questions about model behavior into well-defined ML problems, build methods that address them, and establish how reliably those methods work. This role combines traditional machine learning, model evaluation, and real-time engineering. You’ll own classifiers throughout their lifecycle, including supervised fine-tuning, distillation, evaluation, deployment, and production inference. You’ll work closely with researchers to identify valuable problems and with software engineers to make promising approaches useful at scale. In this role, you will: Build, deploy, and operate production classification and evaluation systems that provide useful feedback to post-training and research teams. Optimize production inference, including model serving, batching, caching, throughput, latency, compute utilization, and cost. Train and optimize classifiers using supervised fine-tuning and distillation, validating quality and efficiency before deployment. Own the reliability and observability of deployed classifiers, diagnose production issues, and improve their performance over time. Design rigorous evaluations that assess accuracy, calibration, generalization, and potential measurement bi

Sell what you love. For us and millions of users across the globe, that’s Spotify. Join the Sales team and you’ll build the relationships that help grow our business in existing markets and beyond. We don’t just sell creative solutions to our clients and partners, we help to shape them; using our expert knowledge of ad products, sales channels and the industry to impact the way the world experiences music and podcasts. What You'll Do Build and grow strategic relationships with advertisers by understanding their business objectives and delivering consultative, insight-driven recommendations. Own a portfolio of clients and develop account strategies that drive long-term growth, retention, and revenue expansion. Identify, develop, and close new business opportunities while expanding existing partnerships across your assigned market and vertical. Create compelling sales narratives by leveraging market insights, campaign learnings, audience intelligence, and Spotify's advertising solutions. Meet and exceed advertising revenue goals by developing strategic account plans and proactively identifying opportunities to grow your business. Analyze campaign performance and client data to develop actionable insights and optimization recommendations that improve business outcomes. Develop deep expertise in Spotify's advertising products, platform capabilities, and industry trends to position innovative solutions that align with client objectives. Manage an active sales pipeline, maintain accurate forecasting, and effectively prioritize opportunities across multiple accounts. Partner closely with cross-functional teams—including Sales Planning, Client Services, Marketing, Product, Measurement, and Data—to deliver exceptional client experiences and maximize campaign success. Contribute to the ongoing evolution of Spotify Advertising by sharing market insights, client feedback, and best practices ac

FEQ227R209 About the Role Databricks needs to understand what technical capability looks like across several large, fast-moving populations: employees, customers, and partners. Today that happens through role-based learning pathways and product-aligned enablement, an approach that can't keep pace with how quickly the platform, technology, and roles change. AI has also collapsed the half-life of technical proficiency, and for the first time, it makes a living, self-maintaining model of capability possible. In this builder role, you'll own systems for defining, measuring, and developing technical capability across Databricks learner audiences. You'll build a capability model that ties roles, skills, content, and credentials together and the instrumentation that shows where capability actually stands. What You'll Own Skills taxonomies, capability models, and learning context Define the skills taxonomies that make up technical capability and shape how they’re organized; what skills exist, which are adjacent, which are prerequisites, how quickly they go stale, and what sources are available to learners for developing and maintaining them. Observability and measurement Stand up instrumentation and AI-informed signals that show where capability stands and where it's drifting. Develop live signals, not a quarterly or monthly health index, to show how skills are moving and evolving. Anticipate where capability demand is heading. Product releases, market shifts, and role evolution are constant; track changes closely so emerging skills surface early and content and programs stay ahead of change. AI-native tooling Build the software that maintains the skills taxonomy and capability model, including LLM-driven skill extraction and organization, agentic pipelines that keep them current, automated drift and gap detection, and APIs that expose it all. Make the model reusable enterprise context that other systems, teams, and products build on vs. a training-only asset. Impact You'll

Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role At Verkada, we're known to push traditional boundaries, and our B2B growth efforts are no exception. We’re reinventing Growth here. As a Senior Growth Marketing Manager: Upper Funnel , you’ll be part of a high-performing team with backgrounds spanning investment banking, consulting, marketing, and high-growth startups. In this role, you’ll own Verkada’s top-of-funnel campaigns and how we measure them. You’ll answer three questions again and again: What should we run? Who should we run it to? And what did we learn, so we can do it again? You’ll test channels most B2B companies never try, from CTV to audio to billboards, and build the measurement to prove what works. This is a highly visible, high-autonomy role that offers the opportunity to directly shape how the market sees Verkada. We are committed to a thriving in-office cul

As a Staff Research Scientist within Datadog AI Research (DAIR), you will drive research in post-training and autonomous agents as a hands-on individual contributor. You will advance reinforcement learning, simulated environments, synthetic data generation, and evaluation methods for agents operating across complex real-world systems. You will set the technical direction for ambitious research programs, raise the technical bar for the researchers and research engineers around you, and collaborate with Datadog's product and engineering teams to translate research advances into products. What You'll Do: Drive research in agent post-training and reinforcement learning, shaping the technical direction of ambitious research programs grounded in observability and security Own research problems end to end, from framing the question through experimentation, model development, and evaluation Design and advance reinforcement learning approaches, post-training methods, and training loops for agents operating in complex environments Build simulated environments, synthetic data generation approaches, and evaluation frameworks that enable scalable agent training and rigorous measurement Raise the technical bar across the team by reviewing research directions, mentoring researchers and research engineers, and setting standards for experimental rigor Collaborate with cross-functional teams across Research, Product, and Engineering to translate advances in autonomous agents into scalable Datadog capabilities Contribute to research publications, present at top-tier conferences such as NeurIPS, ICLR, and ICML, and help open-source key model artifacts and benchmarks Who You Are: You hold a PhD in Computer Science, Machine Learning, or a related field, or have equivalent experience, with deep expertise in areas such as reinforcement learning, AI agents, post-training, or generative modeling You have driven technically ambitious research at meaningful scale as

Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role At Verkada, we're known to push traditional boundaries, and our B2B growth efforts are no exception. We’re reinventing Growth here. As a Growth Marketing Manager: Upper Funnel , you’ll be part of a high-performing team with backgrounds spanning investment banking, consulting, marketing, and high-growth startups. In this role, you’ll own Verkada’s top-of-funnel campaigns and how we measure them. You’ll answer three questions again and again: What should we run? Who should we run it to? And what did we learn, so we can do it again? You’ll test channels most B2B companies never try, from CTV to audio to billboards, and build the measurement to prove what works. This is a highly visible, high-autonomy role that offers the opportunity to directly shape how the market sees Verkada. We are committed to a thriving in-office culture. T