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Measurement Lead Jobs

1,020 active opportunities · Updated for October 2026

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Explore current measurement lead jobs. Use filters to narrow by work mode, employment type, experience and date posted.

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Instacart
📍 Canada• Remote• C$145K – C$153K/yr
1mo ago

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview Carrot Ads is Instacart's publisher advertising platform and one of its fastest-growing businesses. We power ads for enterprise retail partners like Uber Eats, Hy-Vee, and Thrive Market on their own storefronts, spanning Storefront, Storefront Pro, and the Connect / Carrot Ads API. As the first vertical team inside a historically horizontal Ads org, our scope is unusually broad: we own the publisher customer end to end while building on top of shared serving, measurement, and quality systems. Retail media is consolidating, and Instacart is positioned to win on cross-retailer reach. Our goal is to become the premier grocery ads ecosystem for partners and advertisers — and getting there means turning an early externalization into an enterprise-grade platform that the world's most sophisticated retailers trust with their own storefronts. That is the pr

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Coinbase
📍 New York• Hybrid• $40 – $40/hr
1mo ago

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . This is a 12-week internship during summer 2027. You'll join the Employee & Workplace Experience (EWX) team within People Success, the team responsible for creating and enhancing the places and programs that define Coinbase culture. As an EWX Intern, you'll own an initiative that improves and/or informs how we design, measure, and scale employee experiences across remote and in-person environments. What you'll do: Program analytics & measurement : Build or improve dashboards that track program effectiveness, engagement, and ROI across EWX initiatives. Surface insights that help the team make faster, better decisions. AI-assisted operations : Identify manual, repetitive workflows and design AI-powered solutions to automate or streamline them. This could include intake automation, reporting pipelines, or intelligent routing. Program design & iteration : Analyze participation data, employee feedback, and outcome signals to recommend improvements to existing programs or design new ones. Operational systems improvement : Work with internal platforms to improve data quality, user experience, or reporting capability. Change management & communication : Support change management strategies and stakeholder communications to ensure smooth adoption of new processes and initiatives. Required Skills and Experience: Currently pursuing or recently completed a degree

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Clickup
📍 United States• Full-time• Remote• $200K – $250K/yr
1mo ago

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Machine Learning Engineer, Ranking & Retrieval ClickUp is seeking an experienced Machine Learning Engineer to join our Search team. You'll own the ML systems that power search relevance for millions of users and ground our AI in the right context. Your Impact at ClickUp You'll own the full ML lifecycle for ranking and retrieval, from training through deployment and production serving. Our search indexes large-scale, user-generated content across a multi-tenant platform where permissions-aware retrieval is critical. You'll build the systems that decide what surfaces first. Core Responsibilities Train, deploy, and serve ranking models in production, owning the full ML lifecycle Build ranker features, training pipelines, and offline evaluation frameworks Design and scale hybrid retrieval combining lexical and vector search (including HNSW with disk offloading) Run embedding inference at billions-of-documents scale Improve query understanding through intent modeling and query expansion Build permissions-aware retrieval that respects multi-tenant boundaries Create measurement frameworks to evaluate and improve search quality Collaborate with Search Infrastructure, AI, and backend teams to integrate ranking improvements across the platform Technical Requirements Bachelor's degree in Computer Science, Machine Learning, or related field 5+ years of ML engineering experience focused on ranking, retrieval, or information retrieval Proven full ML lifecycle ownership: training, deploying, and serving models in production Hands-on ranker model training: feature engineering, pipelines, offline evaluation Experie

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MyPrize is the fastest growing free-to-play social gaming and social markets platform in the world, redefining how people play, watch, and connect with one another and with gaming and markets online. Pioneering multiplayer experiences where users can join forces with creators, streamers, and friends, MyPrize provides a platform built for shared moments and massive communities. MyPrize transcends boundaries, giving players and fans what they have been desperately craving: an all-in-one platform that combines the best of online gaming, live streaming, and social markets, powered by MyPrize's proprietary AI personalization engine. With SOC 2 Type 1 certification, MyPrize maintains institutional-grade security while building the future of online entertainment. We're seeking a Marketing Analytics Manager to join our growing Analytics team full time. This is an exciting opportunity to be the first embedded analytics hire at MyPrize, building the foundational attribution and reporting infrastructure that connects marketing investment to player value. The Role: As Marketing Analytics Manager at MyPrize, you'll own measurement of acquisition efficiency and marketing ROI across paid, organic, and lifecycle channels, connecting media spend to player value so marketing investment decisions are evidence-based. You'll be the first embedded analytics hire, working directly with the Head of Analytics to stand up the function's foundational attribution and reporting infrastructure. What you will do at MyPrize: Paid Social Analytics & Optimization: Monitor and optimize paid social campaigns across Meta Ads Manager and TikTok Ads Manager — audience segmentation, budget allocation, and A/B testing — and flag data-feed or tracking issues that affect measurement accuracy. Paid Search Agency Collaboration: Serve as the analytics point of contact for paid search agencies, translating performance and player-value trends into budget, bid-strategy, and keyword recommendations, and

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Snowflake
📍 Bellevue• Full-time• $200K – $287.5K/yr
1mo ago

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake runs large scale cloud infrastructure to deliver its own service — production and internal deployments, Kubernetes fleets, CI/CD, etc. Our cloud spend is in billions of dollars per year. The Cloud Efficiency team builds a unified, self-serve cloud efficiency platform along with AI skills and agents that makes spend observable, attributable, governable while driving insights and optimization of our cloud spend. AS A SOFTWARE ENGINEER AT SNOWFLAKE YOU WILL: Design, develop, and maintain scalable platform for resource ownership registry, usage attribution, utilization measurement, and cost modeling. Build AI agents, tools and automation to enhance system monitoring, alerting, and root cause analysis. Improve and optimize data ingestion, storage, and query efficiency for cloud utilization, cost and efficiency data at scale. Collaborate with teams across Snowflake to understand attribution and observability needs and implement solutions that improve operational visibility. Contribute to open-source and industry best practices in monitoring and distributed systems monitoring. Ensure high availability, reliability, and performance of team-managed platforms by participating in on-call rotations and incident management. Partner with Finance, Product and Engineering teams t

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OpenAI
📍 San Francisco• Full-time• $380K – $500K/yr
1mo ago

About the Team The Agent Safety team works to ensure that increasingly capable AI agents act safely, exercise sound judgment, and remain aligned with user intent. Our mission is to reduce the probability of severe unintended outcomes from increasingly capable AI agents while preserving their ability to act effectively and autonomously. Our work spans three areas: Training: Create training methods, environments and data that teach agents to make better decisions in consequential situations. We turn real-world failures into training signals that prevent similar incidents, and identify precursor behaviors and mitigations to address emerging risks. Measurements: Build evaluations and production metrics that identify emerging risks and measure whether our interventions work. Oversight: Develop oversight and system mitigation mechanisms that reduce harmful actions while preserving useful autonomy (for example future versions of auto-review ). About the Role We’re looking for strong executors with excellent judgment, comfort with ambiguity, and an understanding of frontier model research. You don’t need prior safety or alignment experience, we also welcome people that recently realized that alignment and safety is a critical area to contribute to. 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: Train and evaluate frontier models to reduce harmful or misaligned agent actions, forming clear hypotheses and executing independently through ambiguity. Mine incidents and build scalable measurement, data-processing, and evaluation systems that turn real failures into repeatable safety signals. Collaborate closely with post-training, capabilities, oversight, and pre-training partners to ship research-backed mitigations into large-scale training and agent systems. You might thrive in this role if you: Have demonstrated strength in research engineering, ML en

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Cursor
📍 San Francisco• Full-time
1mo ago

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. About the role We’re hiring a Performance Marketing Manager to help scale our growth engine. You’ll build and optimize full-funnel campaigns across Google Ads, LinkedIn, Meta, Reddit, YouTube, and emerging developer-focused platforms—turning paid media investment into qualified signups, pipeline, and revenue. This is a highly analytical, hands-on role with ownership spanning channel strategy, campaign execution, creative testing, landing-page experimentation, and measurement. You’ll work closely with creative, content, product marketing, sales, lifecycle, data, and engineering to improve performance at every stage of the funnel, from the first impression through downstream conversion. The ideal candidate combines strong paid media expertise with commercial judgment, intellectual curiosity, and a bias toward action. You’re comfortable managing meaningful budgets, digging into attribution and cohort data, and running structured experiments to uncover new growth levers. You’ll thrive here if you move quickly, communicate insights clearly, and are energized by the opportunity to go above and beyond when a high-impact opportunity arises. This role is based in San Francisco requires a

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Mach Industries
📍 Huntington Beach• $125K – $160K/yr
1mo ago

About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role Mach Industries is building an AI‑forward autonomy stack for contested environments where GPS and other sensing is unavailable or unreliable. As an member of our team, you will design and implement state-of-the-art estimation and sensor-fusion algorithms that power robust navigation across all of our product lines. You will work at the intersection of perception, state estimation, and embedded systems to bring research-grade algorithms to rugged, real-world deployments. Key Responsibilities Prototype and productionize vision navigation and targeting features end-to-end from sim to HITL to flight with production C++. Turn detections (EO/IR/RF/radar) into well-posed measurement models with latencies/covariances; make the estimator decision‑aware without corrupting state. Stabilize GNSS to VIO handover (adaptive covariances, gating, hysteresis, reset‑less alignment) to eliminate jumps and estimator resets. Build and optimize real-time software on Linux/embedded; profile CPU/GPU, vectorize hot paths; optional CUDA/TensorRT on Jetson hardware. Own calibration and time-sync across IMU/cameras/radar/LiDAR/GNSS; validate in flight. Create evaluation pipelines and dashboards for drift, handover stability, relocalization, track quality Implement fault det

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Snowflake
📍 Menlo Park• Full-time• Remote• $200K – $270K/yr
1mo ago

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Cortex Code is Snowflake’s coding agent for building with data. It ships inside the platform that thousands of the world’s largest enterprises — including a large share of the Forbes Global 2000 — run their data on, which means the quality of this agent is felt by the data teams behind a meaningful slice of the global economy. We are taking coding agents from impressive demos to tools Data Science and Engineering teams depend on every day, and we hold them to a rigorous, public bar. See our data engineering agent benchmark . About the Role This is a measurement-first role that owns the quality and efficiency of Cortex Code end to end: how good the agent is, how much it costs to run, and how reliably it behaves in production. You will take agents from research capability to real, measurable user value — turning fuzzy “the agent feels worse” signals into hard metrics, running the experiments that move them, and shipping the changes that stick. You will work on a small, high-powered modeling and infrastructure team where your work reaches every developer building on Snowflake. What you will do in this role Take agents from prototype to production: design and refine agent behaviors for real coding and data-engineering workflows, and make them reliable enough to depend on. Own a

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Lyft
📍 Toronto• Full-time• From C$108K/yr
1mo ago

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is at the heart of Lyft’s products and decision-making. You will leverage data and rigorous, analytical thinking to shape our products and make business decisions. This will involve identifying and scoping opportunities, shaping team priorities, recommending and implementing technical solutions, designing experiments, and measuring the impact of new features. The Airports team, within the Driver organization, focuses on the airport marketplace and the unique products designed for this use case. Airports are one of the most important, impactful, and complex parts of Lyft’s Rideshare business, as they are a key part of both the rider and driver Lyft experience and have unique dynamics. As a Data Scientist on the Airport team, you will collaborate with our team of engineers, product managers, and designers to think critically about the current rider and driver experience and implement product enhancements to facilitate market growth. The ideal candidate can apply strong business acumen to propose product changes, develop end-to-end technical solutions, and is comfortable working with a highly cross functional team. In this role, you will help us tackle problems such as: What rider segments are present at airports and how can we address their major pain points to grow our airport marketshare? What new airport product features can we introduce to grow rider demand? Are we able to forecast rider demand and use this prediction to adjust ride offerings or improve the rider experience? How can we optimize ride offerings for each rider to maximize conversion? Responsibilities Define and implement decision frameworks, measurement strategies, and scientific methodologies that bring consistency and rigor to business decisions and forecasts, balancing opportunity and uncertainty Desi

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SpaceXSI
📍 New York• $72K – $95K/yr
1mo ago

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: We are hiring an SMB Client Account Manager to own a portfolio of small- and medium-sized advertisers and their agencies. You will act as a trusted advisor: uncovering business goals, recommending X advertising products and best practices, executing and optimizing campaigns, and driving measurable growth. This role blends hands-on campaign management with strategic relationship-building and a bias toward action in a fast-moving environment. Ideal candidates are proactive, analytically minded, and comfortable working with limited supervision while collaborating across sales, product, and finance teams. RESPONSIBILITIES: Own a portfolio of SMB advertisers: understand growth drivers, identify opportunities and risks, and build plans that help clients meet or exceed their goals. Consult clients and agencies on X advertising products, campaign setup, targeting, creative, and measurement; educate them on best practices so they can succeed independently and with our support. Execute, optimize, and analyze campaigns using internal tools and dashboards; turn performance data into clear recommendations and adjustments. Conduct outreach and regular business reviews to stren

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HackerRank Careers
📍 Hybrid In Bangalore• Hybrid
1mo ago

HackerRank helps companies like NVIDIA, Amazon, and Microsoft hire and upskill the next generation of developers based on skills, not pedigree. Our platform is trusted by over 2,500 of the world’s most innovative companies to build strong engineering teams ready for what’s next. Software has entered an era where humans and AI build side by side. As this shift accelerates, the definition of strong technical talent is changing. We give companies better ways to identify and invest in next-generation skills. People at HackerRank care deeply about the impact of their work and sweat the small details so our customers can be wildly successful with products they genuinely love to use. We move with urgency and believe great outcomes come from high standards. About the role As a Product Analyst II at HackerRank, you will own the end-to-end analytics for our products and platforms, working across AI-powered experiences, developer-facing products, content, community growth, or platform initiatives. This is not a BI reporting role — you will own and drive analytics initiatives end-to-end and act as a thought partner to Product, Engineering, Content, Design, and business stakeholders, helping answer not only "what happened?" but also "what should we build, improve, prioritize, or measure next?" What you will do Own analytics for next-generation product(s), platform, content, AI, community, or growth areas. Define and evolve metrics across adoption, engagement, retention, satisfaction, usability, usage quality, and customer value. Analyze customer and developer journeys, segments, and feature-level behavior to identify opportunities and friction points. Evaluate the quality, effectiveness, and adoption of new content and AI-powered product experiences. Partner with Product, Engineering, Content, Design, and Marketing teams to define measurement plans and success criteria for new initiatives. Drive experimentation by framing hypotheses, sizing opportunities, designing experiments,

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Must be in Dallas, TX or New York City Topgolf is seeking a Sr. Media Sales Manager, Partnerships to drive advertising revenue across our full suite of owned and operated media channels. This role owns revenue generation across programmatic, out-of-home / in-venue media, owned digital properties (website and app), and streaming and content monetization - representing the complete Topgolf media ecosystem to agencies, holding companies, and trading desks. The right person is a proven media seller with deep agency relationships and strong programmatic fluency, who knows how to get Topgolf into media plans and deal libraries and can close across multiple channel types. Brand-direct opportunities are handled in partnership with Sponsorship Sales; this role’s primary motion is agency and trading desk. This is a hunter role on a lean team - the person who takes ownership, builds relationships fast, and figures out how to get deals done. Programmatic & Owned Channel Revenue Own programmatic revenue targets: build and manage a pipeline of DSPs, SSPs, agency trading desks, and programmatic buyers to drive net new and recurring revenue Serve as the internal and external expert on programmatic media - PMP deals, programmatic guaranteed, open auction, and emerging deal structures across Topgolf’s full digital inventory with a goal of balancing revenue generation while maintaining premium CPMs Partner with Ad Ops and Product to define inventory strategy, floor pricing, and deal packaging; identify gaps and proactively recommend enhancements Stay current on the programmatic ecosystem - DSP/SSP technology, audience trends, measurement standards, and the competitive landscape - and communicate complex topics clearly to buyers and internal stakeholders Sell advertising across Topgolf’s owned digital properties (website, mobile app, content and social channels) - packaging display, native,

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1mo ago

We are looking for a creative and independent Production Engineer. NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing — with the GPU acting as the brains of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company and build our teams with the smartest people in the world. Join us at the forefront of technological advancement. Make the choice to join us today. We need a creative individual who will help design and operationalize manufacturing plans for GPU Server products. Because of the increasing complexity of our GPU servers, we need your manufacturing experience to forecast equipment and capacity, as well as ensuring we think about possible trouble spots ahead of time. You will be exposed to various aspects of building and testing NVIDIA server products, from GPUs to full system testing. In addition, your responsibilities will include working with overseas manufacturing teams to increase yields, test coverage, and capacity, and reduce production costs. What you'll be doing: Identify the factory key performance index & metrics measurement for periodic review Work with ODM/CM engineers for continuous process improvement Manage manufacturing and quality issues on the production line Forecast equipment, tooling, and production capacity Escalate critical quality issues to engineering teams and management Assist, develop, and provide feedback on server design and DFx Collaborate with

We are looking for a creative and independent Production Engineer for NVIDIA server products. NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing — with the GPU acting as the brains of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company and build our teams with the smartest people in the world. Join us at the forefront of technological advancement. Make the choice to join us today. We need a creative individual who will help design and operationalize manufacturing plans for GPU Server products. Because of the increasing complexity of our GPU servers, we need your manufacturing experience to forecast equipment and capacity, as well as ensuring we think about possible trouble spots ahead of time. You will be exposed to various aspects of building and testing NVIDIA server products, from GPUs to full system testing. In addition, your responsibilities will include working with overseas manufacturing teams to increase yields, test coverage and capacity, and reduce production costs. What you'll be doing: Identify the factory key performance index & metrics measurement for periodic review Work with ODM/CM engineers for continuous process improvement Manage manufacturing and quality issues on the production line Forecast equipment, tooling, and production capacity Escalate critical quality issues to engineering teams and management Assist, develop, and provide feedback on server design and DFx Collaborate with server engineering and product engineering teams

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