Measurement Lead Jobs

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

ABOUT THE BRAND: Callaway Golf Company is a premium golf equipment, gear and apparel company with a portfolio of global brands, including Callaway Golf, Odyssey, TravisMathew, and OGIO. Through an unwavering commitment to innovation and premium craftsmanship, Callaway designs, manufactures, and sells high-performance golf clubs, golf balls, apparel, bags, and other accessories—setting the standard for performance in the game of golf. Our Mission: To create demonstrably superior and pleasingly different products powered by innovative technology and premium craftsmanship enabling golfers of all abilities to play their best and find more joy in the game. Our company is a blend of experience and diverse backgrounds, and together we look to leave the past behind while moving the game forward. For more information, please visit https://www.callawaygolf.com ROLES AND RESPONSIBILITIES · Routinely uses devices such as scales, electronic indicators, applied force and rebound instruments, both mechanical and electronic, to conduct periodic physical measurements of finished and unfinished golf balls, mantles and centers. · Utilizes computer software programs to manipulate and transmit data, and prepare unbiased graphical analysis of tested samples. · Complete spreadsheets and data collection programs to simplify the dissemination of information accumulated in laboratory testing. · Conduct studies to verify measurement processes to continuously improve turnaround time, precision and accuracy, and reduce paperwork. · Performs in house calibration procedures for measurement equipment and maintain a gage management system.

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

ABOUT THE BRAND: Callaway Golf Company is a premium golf equipment, gear and apparel company with a portfolio of global brands, including Callaway Golf, Odyssey, TravisMathew, and OGIO. Through an unwavering commitment to innovation and premium craftsmanship, Callaway designs, manufactures, and sells high-performance golf clubs, golf balls, apparel, bags, and other accessories—setting the standard for performance in the game of golf. Our Mission: To create demonstrably superior and pleasingly different products powered by innovative technology and premium craftsmanship enabling golfers of all abilities to play their best and find more joy in the game. Our company is a blend of experience and diverse backgrounds, and together we look to leave the past behind while moving the game forward. For more information, please visit https://www.callawaygolf.com ROLES AND RESPONSIBILITIES · Gather and blend and extrude pre-qualification samples of rubber stock for quality test and measurement. · Operate all types of extrusion equipment based on the needs of the business · Deliver slugs to proper cell for molding · Retrieve rubber stock from the conditioning room, confirm batch blends and deliver to the designated extrusion process. · Process rubber through the extrusion process per required size and weight specifications · Retrieve slugs from the extrusion process, label the product, report production, and stage for delivery to core molding. · Gather samples and processing them as cores to submit to the quality lab as a part of the blend pre-qualification process. · Deliver samples i

ABOUT THE BRAND: Callaway Golf Company is a premium golf equipment, gear and apparel company with a portfolio of global brands, including Callaway Golf, Odyssey, TravisMathew, and OGIO. Through an unwavering commitment to innovation and premium craftsmanship, Callaway designs, manufactures, and sells high-performance golf clubs, golf balls, apparel, bags, and other accessories—setting the standard for performance in the game of golf. Our Mission: To create demonstrably superior and pleasingly different products powered by innovative technology and premium craftsmanship enabling golfers of all abilities to play their best and find more joy in the game. Our company is a blend of experience and diverse backgrounds, and together we look to leave the past behind while moving the game forward. For more information, please visit https://www.callawaygolf.com ROLES AND RESPONSIBILITIES · Scanning raw material usages based on weight and lot number · Staging and sequencing of ingredients for use in the mixing equipment · Using a two-roll mill to post-mix rubber stock as it is discharged from the mixer. · Gather and blend and extrude pre-qualification samples of rubber stock for quality test and measurement. · Deliver preforms to proper cell for molding · Weighing and labeling of rubber stock prior to transferring to a conditioning room · Retrieve rubber stock from the conditioning room and deliver to the designated extrusion process · Retrieve preforms from the extrusion process, label the product, report production, and stage for delivery to core molding · Gather sampl

About Toast: Toast is driven by building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love. Are you bready* for a change? The Product-Led Growth team builds the in-product experiences that help restaurants discover, try, buy, and adopt the Toast products they need. We own the services and surfaces that decide which restaurants see which offers, carry them through purchase and activation inside the product, and tell us whether it worked. This is measurable, revenue-attached work. Every experience we ship has a conversion metric behind it, and we know within weeks whether it worked. We're a small team with a large surface area, and we're early in turning PLG from a set of hand-built campaigns into a platform: shared targeting, offer delivery, purchase, and measurement services that let us launch a new experiment in days instead of weeks. You'll ship experiments into production, read the results, and decide what comes next, and you'll build the shared services that make each launch faster than the last. You'll work with product, marketing, sales operations, and data science to turn a hypothesis about customer behavior into a targeted in-product experience, then prove or disprove it with data. About this roll* Drive end-to-end development of the backend services that power in-product growth experiences: eligibility, targeting, offer delivery, self-serve purchase, activation, and conversion tracking, owning the full lifecycle and iterating on measured outcomes. Build the shared infrastructure that makes the next experiment cheaper than the last: reusable targeting and eligibility services, campaign configuration, and a purchase flow that new offers plug into rather than rebuild. Build and evolve integrations with the systems those services depend on, consuming propensity scores, Toast IQ recommendations, and CMS-driven campaign controls, and connecting to billing, contracting, and prov

Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company’s success. As a Quantitative Analytics and Modeling Consultant Senior Validator within PNC's Model Risk Management organization, you can be based in Pittsburgh, PA / New York City / Tysons Corner, VA. We are seeking a Senior Validator to join PNC’s Model Risk Management team within Independent Risk Management. As a senior validator, you will perform rigorous independent reviews of PNC’s Capital Markets models, including derivatives pricing models, Value-at-Risk (VaR) models, and counterparty credit risk models, such as Potential Future Exposure (PFE), Credit Valuation Adjustment (CVA), and Funding Valuation Adjustment (FVA), and related interest rate and term structure models used in pricing and risk measurement. Key Responsibilities: 1. Independent Model Review: Perform qualitative and quantitative assessments of all aspects of models including data quality and integrity, theoretical assumptions and methodologies, and performance testing; Specific respons

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. The User Life Cycle team owns how people discover Roblox, become active, and stay engaged over time. Growth and Marketing are central to that journey, and the quality of our data determines how well we can invest: which channels bring in people who stay, which campaigns actually move the needle, and where people drop out of the funnel. As a Senior Data Engineer embedded in Growth Org, you will build the data foundation behind our marketing measurement and growth flywheel. That includes the pipelines and models that power Marketing Mix Modeling (MMM), multi-touch and incrementality-based attribution, and end-to-end funnel analytics from first touch to long-term retention. You will work side by side with Marketing, Data Science and Product, and you will report directly to the Engineering Director. You Will: Design, build and operate reliable batch and streaming pipelines that unify paid, owned and organic marketing data (spend, impressions, installs, sessions, conversions) with in-platform user behavior. Own the data foundation for MMM: build well-documented, versioned, analysis-ready datasets and backfills that Data Science can use to train, refresh and validate models on a regular cadence.