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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.

DU
DoorDash USA
📍 San Francisco• Full-time• $137.1K – $201.6K/yr
4mo ago

About the Team DoorDash’s GenAI Platform team sits within Machine Learning Platform and builds the shared infrastructure that helps DoorDash, Wolt, and Deliveroo teams safely bring GenAI-powered products, agents, automation, and personalization to production. Our mission is to increase the velocity of business impact from GenAI. A central pillar of that work is our evaluation platform — the unified evals backbone that lets teams measure, trace, and trust the quality of LLM and agent systems across the company, powering trace/score ingestion, LLM-as-judge workflows, agent simulations, and LLM observability for the tens of millions of daily requests flowing through our LLM Gateway. We also own core platform surfaces including the Agent Gateway, open-weights model serving and batch inference, guardrails, and cost attribution. About the Role You will join a small, high-leverage team building production infrastructure for Generative AI at DoorDash, with a primary focus on our evals and LLM observability platform: the systems that let teams evaluate, trace, and continuously improve the quality of LLM and agent products. You’ll work across evaluation frameworks and SDKs, OpenTelemetry-based trace/score ingestion, LLM-as-judge and offline/online eval pipelines, agent simulations, data pipelines, backend services, and observability. This role is ideal for an engineer who enjoys building reliable measurement and quality primitives in a fast-moving technical area where product needs, model capabilities, vendor ecosystems, and evaluation methodologies are evolving quickly. You’re excited about this opportunity because you will… Build the infrastructure that helps DoorDash teams move GenAI ideas from prototype to production, increasing the velocity of business impact from AI across the company. Work on our unified evals platform — evaluation SDKs, OpenTelemetry trace/score ingestion, LLM-as-judge, offline and online eval pipelines, and agent simulations — alongside the LLM Gatew

pythonsqlaws
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C
Clickup
📍 United States• Full-time• Remote• $200K – $250K/yr
4mo 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. 🚀 ClickUp is seeking a talented and experienced Senior Search Engineer to join our team and help revolutionize our search capabilities. As a key member of our engineering team, you'll be responsible for optimizing and enhancing our search functionality, which is a critical feature of our platform and underpins our AI efforts. Your impact at ClickUp As a Senior Engineer on the Search squad, you'll be responsible for designing, optimizing, and scaling our search infrastructure. Our platform is built as backend services on top of Postgres and OpenSearch, focused on real-time search ingestion and serving. You'll work hands-on with these systems to ensure users can instantly find exactly what they need across their workspace. Your expertise will directly contribute to making ClickUp the most intuitive and responsive productivity platform available. Core Responsibilities Design and implement robust search solutions that scale with our rapidly growing user base Improve search relevance, accuracy, and speed to deliver the most relevant results to users at blazing fast speeds Improve our real-time indexing pipelines to ensure search results remain up-to-date Create measurement frameworks to evaluate and improve search quality Build and enhance vector search capabilities to power next-generation search experiences Collaborate with AI, backend, and product teams to integrate search into new features Troubleshoot complex search-related issues at scale Design and implement robust search solutions that scale with our rapidly growing user base Improve search relevance, accuracy, and speed to deliver the most relevant r

REMOTEtypescriptpostgresqlmachine learning
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C
Clickup
📍 United States• Full-time• Remote• $250K – $300K/yr
4mo 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. 🚀 ClickUp is seeking a talented and experienced Senior Search Engineer to join our team and help revolutionize our search capabilities. As a key member of our engineering team, you'll be responsible for optimizing and enhancing our search functionality, which is a critical feature of our platform and underpins our AI efforts. Your impact at ClickUp As a Senior Engineer on the Search squad, you'll be responsible for designing, optimizing, and scaling our search infrastructure. Our platform is built as backend services on top of Postgres and OpenSearch, focused on real-time search ingestion and serving. You'll work hands-on with these systems to ensure users can instantly find exactly what they need across their workspace. Your expertise will directly contribute to making ClickUp the most intuitive and responsive productivity platform available. Core Responsibilities Design and implement robust search solutions that scale with our rapidly growing user base Improve search relevance, accuracy, and speed to deliver the most relevant results to users at blazing fast speeds Improve our real-time indexing pipelines to ensure search results remain up-to-date Create measurement frameworks to evaluate and improve search quality Build and enhance vector search capabilities to power next-generation search experiences Collaborate with AI, backend, and product teams to integrate search into new features Troubleshoot complex search-related issues at scale Design and implement robust search solutions that scale with our rapidly growing user base Improve search relevance, accuracy, and speed to deliver the most relevant r

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O
OpenAI
📍 San Francisco• Full-time• Remote• $347K – $385K/yr
4mo ago

About the Team OpenAI's mission is to ensure that artificial general intelligence benefits all of humanity. The Consumer Devices team is building a new generation of AI-powered products that seamlessly integrate hardware and software to create intuitive, transformative experiences. We bring together experts across embedded systems, machine learning, hardware, design, and product engineering to develop products at the intersection of AI and consumer technology. About the Role OpenAI is seeking a System Performance Engineer to profile, benchmark, and optimize performance across our embedded hardware products. In this role, you will work across operating systems, applications, camera and vision, graphics, and platform teams to define product KPIs, build performance tooling, and drive optimizations from early lab characterization through product launch and real-world usage. You will help establish the performance standards that shape the user experience of our products, ensuring they remain responsive, efficient, and reliable throughout their lifecycle. This role requires deep expertise in embedded or high-performance systems, strong operating systems fundamentals, and hands-on experience debugging under tight latency, power, and memory constraints. This role is based in San Francisco, CA. We use a hybrid work model of four days per week in the office and one day working remotely. Relocation assistance is available for new hires. In this role, you will: Develop system performance benchmarks, methodologies, and policies to evaluate end-to-end product behavior. Profile and analyze performance across key product use cases and workloads using custom and industry-standard profiling tools. Partner closely with engineering teams to identify bottlenecks and drive performance optimizations across the software stack. Define high-level product KPIs and establish measurement frameworks to measure launch readiness and monitor performance throughout the product lifecycle. Measure, re

REMOTEpythonlinuxmachine learning
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P
4mo ago

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 Sr. Client Account Manager in our DACH Enterprise Sales Team, you will be in charge of driving a book of business with one of our key partners on our Retail Team. You’ll work directly with our key advertisers as a trusted consultant to their business. Your strategic advice, sales skills & coaching are core to bringing to life the value we deliver as a platform. If this sounds like fun, we’d love to hear from you! What you’ll do: Build and nurture relationships with our Partners independently, proactively reaching out to partners regarding campaign performance, optimisations, updates, and opportunities. Shares learnings from own book of business to support other team members. Ensure that our partners objectives and requirements are met by liaising between them and our internal teams (Measurement & Insights, Performance Solutions

awsgitrest
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O
OpenAI
📍 San Francisco• Full-time
4mo ago

About the team OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this. In pursuit of this mission, our Enterprise Platform team builds the systems that help our GTM teams bring OpenAI products to customers at scale. This role sits close to our emerging ads business, partnering with Ads Sales, Operations, Product, Finance, Legal, and Engineering to create reliable workflows for advertiser lifecycle, campaign readiness, approvals, and revenue operations. About the role Our GTM team helps customers understand the transformational potential of OpenAI’s models, and our internal systems should make that work faster, cleaner, and more intelligent. We’re looking for a Salesforce Ads Systems Engineer to design and build the Salesforce foundation for our ads business. You’ll partner with Ads Sales, Ads Operations, Product, Finance, Legal, and data teams to turn complex advertiser and campaign workflows into scalable, auditable systems. This is an execution-heavy, builder role. The primary charter of this role is ads GTM systems: advertiser account and opportunity workflows, campaign/order readiness, approvals, integrations, and automation that keep ads motions moving cleanly from pipeline through launch, billing, measurement, and reporting. In this role, you'll: Build Salesforce solutions for ads GTM : Develop user experiences, objects, automations, and guardrails that help Ads Sales and Operations manage advertisers, opportunities, insertion orders, campaign readiness, approvals, and launch handoffs with high data quality. Engineer integrations across the ads stack : Connect Salesforce with ads platforms, product catalogs, pricing/rate-card systems, data warehouses, billing tools, measurement workflows, CLM, and e-signature systems so advertiser and campaign data stays accurate and audit

awsci/cdgit
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C
Coinbase
📍 Charlotte• Full-time• From $180.4K/yr
4mo 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 . The Enterprise Applications & Architecture (EAA) team at Coinbase builds and operates the internal platforms and business systems that power Coinbase at scale. Within EAA, the CX Tooling product team owns the tools, workflows, and AI-powered systems that enable Coinbase's CX specialists to resolve customer issues quickly, accurately, and with empathy. As a Senior Product Manager, you'll own product strategy and execution for CX and AI tooling that sits at the intersection of internal operations and the external customer experience, building an AI-forward platform that leverages automation, intelligent routing, and AI-assisted resolution to raise the bar on speed, quality, and customer satisfaction. Location: Greater Charlotte, NC area (relocation assistance available) What you'll do: Own the product roadmap for a portfolio of CX and AI tooling, delivering end-to-end across discovery, requirements, launch, measurement, and iteration for the systems Coinbase's support specialists rely on to serve millions of retail customers. Drive identification and prioritization of the highest-impact problems in the CX space by partnering with frontline specialists, diagnosing operational pain points, surfacing automation opportunities, and translating them into clear product solutions. Build AI-integrated features that augment human specialists capabilities, including intellige

O
OpenAI
📍 San Francisco• Full-time
4mo ago

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

pythonsqlaws
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D
4mo ago

As a Senior Security Engineer focused on Datadog’s Cloud SIEM product, you will help shape the future of security operations by transforming real-world security expertise into scalable detection, investigation, and response capabilities. You will develop high-impact threat detection content, improve AI-assisted security workflows, and help defenders identify and respond to threats across cloud-native and enterprise environments. Working closely with Product, Engineering, and Security Research teams, you will influence the evolution of Datadog Security products while advancing detection coverage across emerging technologies and attack surfaces. This role offers the opportunity to contribute to open source initiatives, publish security research, and help define the next generation of agentic security operations capabilities. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Research attacker techniques, defensive strategies, and emerging threats, translating findings into scalable security capabilities that protect customers at cloud scale. Design and improve AI-powered investigation, threat hunting, and response workflows that support Datadog’s agentic SOC capabilities. Own the lifecycle of threat detections and automated security workflows, from research and design through deployment, measurement, and continuous improvement. Develop high-fidelity detection content across cloud platforms, SaaS applications, identity systems, endpoints, networks, and other modern attack surfaces. Partner with Product, Engineering, Security Research, and customers to influence roadmap decisions and improve security outcomes across the platform. Mentor security engineers and drive improvements through automation, tooling, rapid prototyping, and data-driven optimization. Who Yo

pythonawsazure
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D
4mo ago

As a Senior Security Engineer focused on Datadog’s Cloud SIEM product, you will help shape the future of security operations by transforming real-world security expertise into scalable detection, investigation, and response capabilities. You will develop high-impact threat detection content, improve AI-assisted security workflows, and help defenders identify and respond to threats across cloud-native and enterprise environments. Working closely with Product, Engineering, and Security Research teams, you will influence the evolution of Datadog Security products while advancing detection coverage across emerging technologies and attack surfaces. This role offers the opportunity to contribute to open source initiatives, publish security research, and help define the next generation of agentic security operations capabilities. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Research attacker techniques, defensive strategies, and emerging threats, translating findings into scalable security capabilities that protect customers at cloud scale. Design and improve AI-powered investigation, threat hunting, and response workflows that support Datadog’s agentic SOC capabilities. Own the lifecycle of threat detections and automated security workflows, from research and design through deployment, measurement, and continuous improvement. Develop high-fidelity detection content across cloud platforms, SaaS applications, identity systems, endpoints, networks, and other modern attack surfaces. Partner with Product, Engineering, Security Research, and customers to influence roadmap decisions and improve security outcomes across the platform. Mentor security engineers and drive improvements through automation, tooling, rapid prototyping, and data-driven optimization. Who Yo

pythonawsazure
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F
Fin
📍 San Francisco• Full-time• ₹1.8L – ₹1.9L/mo
4mo ago

Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? Fin is looking for a Senior Field Marketing Manager, Brand Activations to help bring our most important in-person and hybrid experiences to life in North America. This role sits at the intersection of brand, demand generation, and sales, translating creative, high-impact experiences into measurable pipeline. You’ll partner closely with our Brand Activations team, who own our strategic events, community programs, and product launches. Your focus will be ensuring those programs are set up to succeed in the field through strong sales enablement, thoughtful staffing, seamless on-site execution, and clear performance measurement. This is a hands-on, highly cross-functional role for someone wh

restaigo
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N
Notion
📍 San Francisco• Full-time• $230K – $260K/yr
4mo ago

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About The Role Millions of people rely on Notion to do their most important work, and protecting that trust is foundational to everything we build. We’re looking for a hands-on Detection Engineer to build and operate the systems and workflows we use to detect and respond to attacks across Notion’s cloud-native environment. You’ll ship high-signal detections, improve the platform that powers them, participate in incident response, and help shape how detection and response engineering scales at Notion. You’ll work closely with Engineering, Corporate Security, and Infrastructure, with broad latitude to identify gaps, prioritize investments, and build what’s needed next. We view detection and response as a software engineering discipline: detections are code, platforms are products, and measurement matters What You'll Achieve Design and maintain high-signal detections across cloud, identity, endpoints, and SaaS environments. Build and improve the detection platform, including rule lifecycle management, tuning, measurement, and rollout safety. Develop tooling and automation that accelerate triage, enrichment, investigation, and detection

awsazuregcp
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B
4mo ago

JOB SUMMARY This role owns feature adoption and platform engagement for B-Stock's buyer-facing features — ensuring buyers discover, adopt, and deepen engagement with what Product ships. Lifecycle Marketing owns buyer funnel health (acquisition, activation, retention) at a cohort level; Product Growth owns whether buyers find and use the features that make the platform stickier. You'll brief Lifecycle on feature launches; they own channel execution. This role also applies AI to how feature GTM gets built and measured — using AI-assisted analysis to speed hypothesis testing and reporting. ESSENTIAL JOB DUTIES AND RESPONSIBILITIES Driving Outcomes Own the GTM strategy and launch execution for buyer-facing features (e.g., saved search, delivery preferences, customer preferences); define adoption metrics upfront and hold yourself accountable for delivering against them. Propose a prioritized GTM plan for buyer-facing features, aligned to the broader product roadmap. Customer Understanding Develop a deep understanding of B-Stock's buyer segments — who they are, how they shop, and what drives repeat platform engagement. Build and maintain buyer personas that go beyond demographics to capture behavioral patterns and feature usage; use these to sharpen both product positioning and campaign briefs. Brief Lifecycle Marketing on feature launches with clear audience targeting rationale, key messages, and behavioral triggers, so execution through shared channels (including in-app messaging) is accurate. Analytical Rigor Generate hypotheses about buyer behavior and feature adoption; use those hypotheses to structure a logical analytical approach and identify the data needed to validate or refute them. Partner with Analytics to define shared measurement frameworks: align on definitions (e.g., what counts as 'activated' or 'engaged'), and build visibility into feature adoption metrics. Demonstrate strong quantitative and qualitative judgment in decision-making — you can

aisalesforceSEO
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DU
DoorDash USA
📍 New York• $98.6K – $145K/yr
4mo ago

About the Team The SevenRooms Data & Analytics team is the foundational data hub powering go-to-market, product, finance, and operational decisions across the In-Store business. We design and maintain the pipelines, models, and infrastructure that connect SevenRooms' systems with the broader DoorDash data ecosystem — and we're investing aggressively in making our datasets ready for both human and AI consumption. Within the team, our product-focused analytics work owns the funnels, personas, and feature-adoption insights that inform what products and features get built, how it's launched, and how it performs in the market. About the Role We're hiring a Data Analyst to be the data partner for our Product Management, Product Marketing, and executive teams at SevenRooms. You will own the building of data products, feature launch analytics, and the PLG instrumentation that connects product usage signals back into Salesforce, Gainsight, and our outbound motions. You will report into the Manager, Data & Analytics on our Data & Analytics team in our SevenRooms organization. You're excited about this opportunity because you will… Own product analytics end-to-end — funnels, adoption, retention, and ROI for every major feature launch on the SevenRooms platform. Build net new data products aimed at improving analytic and reporting capabilities Partner with Product Managers and Product Marketers on pre-launch hypotheses , beta testing results, post-launch measurement, and ongoing optimization. Design and ship PLG automations that translate product behavior into opportunity tagging, expansion signals, and CSM workflows. Apply GenAI and ML techniques — partnering with our GTM Engineer — to product analytics use cases like web-sourced feature adoption opportunities, transactions predictive modeling, and Add-On ICP scoring. Communicate closely in support of multiple PM’s with reporting and ad-hoc analysis We're excited about you because… A degree in Math, Phy

sqlaisalesforce
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V
Vercel
📍 New York• Hybrid• $150K – $188K/yr
4mo ago

About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the Role: You'll own paid acquisition at Vercel across Google, Meta, LinkedIn, YouTube, and emerging channels, with one goal driving the work: scalable, profitable customer acquisition for our self-serve and enterprise motions. This role is built for an analytical, AI-native growth marketer who cares about results, testing velocity, and scale. We want someone who has already wired AI into how they work, building agents, automations, and workflows that let them operate like a much larger team. You'll bring operational rigor to how we launch and scale campaigns, own the systems that make us faster, and turn our acquisition engine into a compounding growth loop. The work sits between strategy and execution, in close partnership with Product Marketing, Lifecycle, Creative, Data, and Marketing Operations, so the right message reaches the right developer or buyer in the right channel. What You Will Do: Paid acquisition end to end across Google Search and YouTube, Meta, LinkedIn, and emerging channels, driving signups, activations, and pipeline Multi-million-dollar annual paid media spend, where you beat ROAS and CAC targets and lower CAC over time AI-driven operating leverage, building agents, automations, and AI-assisted workflows that compress campaign turnaround and scale creative production Creative and audience testing, where you systematically find (and sometimes design) winning creative and audience segments, using AI to generate and iterate variants at high velocity Measurement and attribution, building funnel reports and cohort analyses w

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