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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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Asana
📍 New York• Full-time• $248K – $282K/yr
4mo ago

We’re looking for a Staff Software Engineer to integrate and improve our AI developer experience so that engineers at Asana can use AI to increase their velocity. As part of the AI Developer Productivity team, you’ll set technical direction and build the next generation of AI-powered developer tools across editors, IDEs, CLIs, code review, and cloud and local coding agents. This role is based in our New York City office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Design and build AI-augmented workflows and systems that help coding agents understand the codebase, follow engineering practices, and enable Asana engineers to complete software development tasks faster and with more confidence. Design and scale autonomous cloud agents that take on complex, multi-step engineering tasks to reduce toil and enable engineers to focus on higher-leverage work. Build and refine IDE, editor, and CLI integrations that make AI-assisted development feel intuitive in engineers' daily work. Create reusable agent skills, tools, context, and integrations that teams across Asana can build on rather than reinvent. Improve AI-assisted code review workflows so engineers get faster, higher-quality feedback before and during review. Drive adoption of AI developer tools across engineering through usability improvements, measurement, documentation, and enablement. Set technical direction for the team, balancing experimentation with reliability, maintainability, and long-term platform thinking. Partner cross-functionally with teams across the engineering organization to understand engineering needs, identify workflow friction, and scale high-impact solutions

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Asana
📍 New York• Full-time• $202K – $230K/yr
4mo ago

We're looking for a Senior Software Engineer to integrate and improve our AI developer experience so that engineers at Asana can use AI to increase their velocity. As part of the AI Developer Productivity team, you'll build the next generation of AI-powered developer tools across editors, IDEs, CLIs, code review, and cloud and local coding agents.This role is based in our New York City office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Design and build AI-augmented workflows and systems that help coding agents understand the codebase, follow engineering practices, and enable Asana engineers to complete software development tasks faster and with more confidence. Design and scale autonomous cloud agents that take on complex, multi-step engineering tasks to reduce toil and enable engineers to focus on higher-leverage work. Build and refine IDE, editor, and CLI integrations that make AI-assisted development feel intuitive in engineers' daily work. Create reusable agent skills, tools, context, and integrations that teams across Asana can build on rather than reinvent. Improve AI-assisted code review workflows so engineers get faster, higher-quality feedback before and during review. Drive adoption of AI developer tools across engineering through usability improvements, measurement, documentation, and enablement. About you 5+ years of working in large codebases Experience building developer tools, internal platforms, infrastructure, IDE/editor integrations, CLIs, or workflow automation. Hands-on experience with AI-assisted development tools (such as Cursor, Claude Code, or Codex), or extending coding agents, MCP-based int

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Datadog
📍 United States• Full-time• $276K – $345K/yr
4mo ago

The Dashboards product is Datadog's unified single-pane-of-glass for metrics, logs, and traces—a comprehensive treasure trove of observability data. We are transforming Dashboards into an AI-native control surface and the central hub where every team moves seamlessly from question to insight to action – providing a guided experience that feels like having an expert SRE at your side and ensuring the entry point is never an empty canvas. We're hiring a Staff Applied Scientist to define and guarantee the quality of this AI system at scale. "Good" isn't one number — it spans answer quality, tool-selection accuracy (critical given the growing catalog of data sources and visualizations), retrieval relevance, latency, token cost, and end-to-end agent success. The space is full of open questions. How do you evaluate an agent end-to-end when the trajectory is non-deterministic? How do you score tool selection when a user’s query can result in the agent making decisions against dozens of visualizations and data sources – both of which are growing month over month? How do you build a measurement system that catches regressions across all widget types and data sources (e.g., enforcing correct grouping, sorting, and time overrides), and is easy to use and extend by dozens of teams? If those are the problems you want to spend your time on, come build this with us. 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: Own the evaluation strategy for Dashboards, as well as sister teams within our organization. Define the metrics — offline and online, quality and cost, single-turn and multi-turn — that the team and the broader organization optimize against. Build the eval datasets, golden traces, and regression harnesses that catch quality changes before they hit customers, an

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Role Summary As part of the PDSA Optical team, you will support product development through non-imaging optical engineering, focusing on light guide design. You will work with cross-functional teams from early concept to implementation. You will provide early recommendations on LED selection and illumination architecture, define optical requirements, and perform simulations to evaluate uniformity and optical efficiency. You will validate designs through measurement and ensure good correlation between simulation and actual performance. You will help resolve illumination issues during build cycles, support optical component management, and contribute to reducing design risks, improving accuracy, and accelerating project progress. Responsibilities (What he/she will do after joining UI) Provide early-stage recommendations on optical architecture and LED selection. Perform optical simulations and 3D optimization based on product PRD requirements. Analyze optical measurement results to evaluate and predict product illumination performance (e.g., uniformity and efficiency). Collaborate with cross-functional teams to optimize light guide components and LED brightness tuning. Requirement (Must-Haves) Master’s degree in Optical Engineering, Physics, or a related field. At least 3+ years of experience in optical design and validation. Solid

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SharkNinja
📍 China• Full-time
4mo ago

About Us SharkNinja is a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positively impact people’s lives in homes around the world. Powered by two trusted, global brands, Shark and Ninja , the company has a proven track record of bringing disruptive innovation to market and developing one consumer product after another has allowed SharkNinja to enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than 4,100 associates, the company’s products are sold at key retailers, online and offline, and through distributors around the world. AI at SharkNinja At SharkNinja, we’re building an AI-native culture. We’re not waiting for the future; we’re creating it. Our people are expected to experiment boldly, adopt new tools, and continuously raise what’s possible to create meaningful impact for our consumers. If you believe the best way to do your job hasn’t been invented yet, you’ll fit right in. About the Role: This role will focus on embedded firmware design and product development lifecycle for our ambitious product roadmap. The successful candidate will have experience in embedded firmware design, including 8-bit, 16-bit and 32-bit microcontrollers. Preferably in home appliance products or similar and would be familiar with all product development aspects such as best practice coding standards, heating control, motor control, sensor, inter-processor communications such as UART, I2C, SPI, WIFI and firmware/code verification systems. The successful candidate would have experience using analysis/measurement tools such as oscilloscopes, data loggers, DVM’s to debug embedded systems. This is where your SharkNinja journey begins. You’re an explorer—not a tour guide—driven by curiosity, fueled by taking chances, and unwilling to fly under the radar. Here, bold m

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OpenAI
📍 Seattle• Full-time• Remote• $347K – $445K/yr
4mo ago

About the Team The Monetization team is a new cross-functional group working across engineering, product, research, and design to build the foundational systems that will help OpenAI scale access to intelligence responsibly. Our mission is to develop user-first, privacy-preserving monetization products, including next-generation ads experiences, that strengthen user trust, unlock economic opportunity, and support OpenAI’s long-term innovation. Monetization plays a critical role in enabling OpenAI to continue pushing the boundaries of AI capabilities while ensuring the benefits of AGI are broadly shared. We believe monetization must be aligned with user value, uphold rigorous privacy and safety standards, and sustain a healthy ecosystem of developers, advertisers, and businesses. This team operates in a greenfield environment and moves quickly through prototyping, experimentation, and iterative deployment. We partner closely with Product, Design, Research, and external customers to bring new monetization products into real-world systems at global scale. About the Role We’re looking for an experienced Software Engineer to help build Ads Manager, the UI platform advertisers use to create, manage, measure, and optimize ad campaigns across OpenAI’s ads ecosystem. This is a foundational role responsible for designing and implementing advertiser-facing products, APIs, tools, and services that connect external customers to OpenAI’s next-generation monetization products. You’ll work across the full technical stack to build intuitive self-serve workflows for small and mid-sized advertisers, as well as scalable APIs and integrations for large enterprise advertisers, agencies, and ad-tech partners who manage campaigns through their own buying platforms or intermediary systems. This includes building advertiser-facing APIs and tooling for campaign management, conversion APIs, pixels, measurement, and insights. You will collaborate deeply with Product, Design, Research, and Go-To

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M
meesho
📍 Bengaluru• Full-time
5mo ago

About the Team The BizFin team at Meesho is a close-knit and high-performing group that brings together a diverse mix of professionals from Big 4 consulting, FMCG giants, and top-tier investment firms. Our members include Chartered Accountants (many of whom are rank holders), business specialists, and former investment bankers — each contributing a unique perspective and skill set. We thrive on solving complex, high-impact business problems across Meesho’s ecosystem. Whether it's driving growth strategy or streamlining financial operations, the team plays a critical role in shaping key decisions that drive the company's success. We believe in cross-functional exposure, ensuring team members gain experience across different areas of the business, enabling continuous learning and a broader perspective. At our core, we value both excellence in our work and strong team bonds, creating a culture that celebrates collaboration, achievement, and the collective impact we make. About the Role As a Business Finance expert, you’ll be one among the 50+ professionals working in domains such as Financial Reporting, Finance Operations, Business Finance, Treasury Management and Taxation. You will get a chance to work closely with some of the sharpest minds from the finance industry, and solve complex challenges. We thrive on solving complex, high-impact business problems across Meesho’s ecosystem. Whether it's driving growth strategy or streamlining financial operations, the team plays a critical role in shaping key decisions that drive the company's success. What you will do Business Planning, measurement and control 1. Provide the business with relevant financial support to enable effective planning while applying moderate budgeting and forecasting techniques : Advice on modelling, planning and forecasting with reference to cost, time and quality. 2. Have an evolving view on how to manage planning ambiguities emanating from lack of perfect

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About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Responsibilities Perform pre-layout and post-layout signal integrity simulation for high-speed interfaces, including DDR4/DDR5, PCIe Gen3–Gen5, and 100G/400G/800G Ethernet. Evaluate channel loss, PCB material, stack-up, IC placement, and routing constraints during the early design stage. Build and analyze end-to-end channel models, including PCB traces, vias, connectors, cables, packages, and IC models. Optimize high-speed channel structures, including vias, anti-pads, connector launches, cables, and routing topology. Analyze insertion loss, return loss, crosstalk, impedance discontinuity, jitter, eye diagram, and BER performance. Define PCB layout guidelines and routing constraints for high-speed interfaces. Work with EE, layout, mechanical, vendor, and validation teams to review designs and resolve SI issues. Support simulation-to-measurement correlation using VNA, TDR, oscilloscope, BERT, or compliance test results. Qualifications Bachelor’s degree or above in Electrical Engineering, Electronics Engineering, or a related field. 5+ years of experience in high-speed signal integrity simulation and PCB channel design. Hands-on experience with Ansys simulation tools, such as HFSS, SIwave, Q3D, or AEDT. Familiar with high-speed interfaces, including: DDR4,DDR5 PCIe up to Gen5 IEEE 802.3by / 802.3bm / 802.3bs / 802.3cd,100G / 400G /

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Pinterest
📍 San Francisco• Full-time• Remote• From $114.3K/yr
5mo 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 . Pinterest brings millions of people the inspiration to create a life they love. Behind that experience is a complex infrastructure ecosystem that powers reliability, performance, measurement, and efficiency across the platform. As Pinterest grows, it’s increasingly important that we understand these systems clearly so we can make smarter decisions for both Pinners and the business. We’re looking for a Data Scientist to join our Infrastructure Data Science team. In this role, you’ll partner with engineering and cross-functional teams to make Pinterest’s infrastructure more measurable, intelligible, and actionable. Depending on the area, your work may span app performance, shopping infrastructure, metrics quality, infrastructure governance, or site reliability. You’ll help build the data foundations, measurement systems, and analytical fram

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Roblox
📍 San Mateo• Full-time• From $248.7K/yr
5mo ago

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. WHY DATA SCIENCE & ANALYTICS? The Data Science & Analytics organization's mission is to increase our speed, frequency, and acumen of our business decisions and to empower and scale product innovations. We cover a wide area of the data spectrum, including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling, economics, and machine learning. Aligned and partnering with product groups, we use this vast tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure the impact / incrementality on our community of players, developers, and advertisers. WHY ADVERTISING SCIENCE? Advertising at Roblox is new, facing critical scale, effectiveness, and implementation challenges, while operating in our civility and user focused experiences. As a new strategic area, work will be innovative and impactful. Scientific rigor will be critical in success as we organize our data model, design principled measurement systems, and architect the future of incrementality measurement and actioning, to enable our communities. In this role, you will contribute to the new A

awsgitmachine learning
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OpenAI
📍 San Francisco• Full-time• $198K – $425K/yr
5mo ago

About the Team The Integrity team is responsible for the scaled systems that help identify and respond to bad actors and harm on OpenAI’s platforms. We protect users and the wider world by developing responses to complex harms and building the harm protections needed for new product and model launches. Integrity’s work spans not only across frontier harms like biological weapons and cybersecurity, but also high severity abuses such as child safety, nation-state misuse, and violence. About the Role Protection Scientists within Integrity design, orchestrate, and mature systems of defence against usage harms enabled by OpenAI's products. We are systems thinkers that combine deep harm domain expertise with breadth across investigation, data science, machine learning, policy and operations. Our distinctive strength is understanding how these disciplines fit together and translating between them to design and build effective systems of defence. Your core hands-on technical responsibility is harm detection. You will design, build, evaluate and maintain production detection systems, drawing on investigative expertise, data and shared engineering platforms. You will develop signals, classifiers and detection systems, and improve their ability to identify harmful activity accurately as products and behaviour evolve. You will also own the strategy and cross-functional delivery of protection work for a harm area or product launch. Working closely with investigators and other domain experts, you will ground the design in a deep understanding of how the harm occurs and translate that understanding into a system of defence. You will connect detection with policy, review, interventions, enforcement and measurement, continually calibrating the system against real cases and expert judgement as it scales. You will identify what needs to be built or changed and make it happen. Success requires setting clear priorities, aligning partners, resolving dependencies and communicating evidenc

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Hark
📍 San Jose• $120K – $300K/yr
5mo ago

About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory. We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world. To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems. About the Role Hark is looking for an experience-focused, hands-on embedded engineer to build haptic and motion control system firmware and software that deliver incredible interaction experiences. We care a lot about how things feel, and how the people that use them feel, and we want someone who shares that craft mindset. Responsibilities Write real-time firmware in C and C++ that drives motion and haptic systems. Close the loop on response time and feel. characterize actuator behavior on the bench and tune controllers until the result is genuinely pleasant to use. Stand up early hardware, prove out feel and timing in prototype form, and shape the final shipping experience alongside product and industrial design partners. Requirements 5+ years writing firmware for microcontrollers in C and C++. Demonstrated hands-on motor or actuator control work that shipped — PID, feed-forward, FOC, observers, and similar techniques. Comfort on the bench with scopes, logic analyzers, and bus traffic over I²C, SPI, or I²S. Working knowledge of Python or another scripting language for measurement automation and quick data analysis. Clear written communication — you can explain a tradeoff to a non-firmware teammate without losing them. A strong instinct for what d

pythonartificial intelligenceai
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About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory. We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world. To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems. About the Role You’ll drive the system-wide thermal architecture for our AI-centric consumer devices, from early concepts through detailed architecture and production validation. Balance performance, battery life, cost, and user comfort. Work hands-on across simulation, prototyping, and test to enable informed architecture analysis, proactively highlighting tradeoffs and opportunities. Collaborate closely with industrial design, mechanical, electrical, and software teams to converge holistic thermal solutions. Responsibilities Define and own the thermal architecture from early architecture & NPI through production, including foundational system architecture simulation & analysis, material selection, thermal solution design, and cost optimization. Translate product use cases and real-world usage profiles into thermal loading scenarios that drive early design iteration Conduct detailed thermal analysis at variable fidelity levels as needed - analytic analysis for team directional analysis, coarse analysis for quick iteration of parallel ideas, and detailed analysis for high fidelity studies. Design and build custom thermal test infrastructure and measurement methodologies tailored to each product program Partner cross-funct

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C
6mo 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 As a Software Engineer on the Agent Quality team at SpaceXAI, you’ll build the measurement, evaluation, and feedback-loop infrastructure that makes the Cursor core agent reliably better over time. This role sits at the intersection of product, data, and engineering: you’ll instrument what matters, help define how we judge quality, build pipelines and tooling to analyze agent behavior at scale, and partner closely with research, product, and infrastructure teams to turn insights into improvements. Your impact will compound across every Cursor product built on the shared harness—and across high-stakes decisions around model choice, quality, and cost. What you’ll work on Designing and building best-in-class AI evaluation system: curated datasets, offline replay, scorers / judges, regression alerts, and dashboards. Designing feedback loops from real usage: collecting, cleaning, and interpreting user signals to inform model and harness changes. Developing analysis tooling and workflows for debugging agent behavior: deep dives on failure modes, clustering themes, and surfacing actionable insights. Improving reliability and guardrails by making quality measurable and ope

PC
Phoenix Contact
📍 Greenville Spartanburg
6mo ago

Job Summary This is a hands-on, activity-driven role ideal for someone who is eager to learn, contribute, and grow within a dynamic team responsible for driving sales of all Phoenix Contact products by combining engineering knowledge with strong interpersonal and business skills. The Sales Engineer (OEM) plays a key role in identifying growth opportunities, building relationships with potential and existing developing customers, and supporting the sales pipeline through consistent outreach and follow-up. This role involves identifying customer needs, recommending suitable products or solutions, and providing technical support throughout the sales process. The Sales Engineer (OEM) works closely with our Channel and Field Application Engineering teams to ensure customer satisfaction and achieve sales targets. This role focuses on deepening relationships within assigned accounts, driving growth opportunities, and expanding business engagement to maximize long-term value. The territory for this role is South Carolina. Responsibilities Meet or exceed territory sales quotas as established by the RSM and/or Vice President—Field Sales. Be proficient in BASE selling skills and implement to build strong customer relationships. Generate new opportunities within assigned accounts through ongoing communication, relationship development, and collaboration with key stakeholders. Support the preparation of proposals, presentations, and sales materials. Maintain and update CRM systems with accurate client information. Fully utilize the CRM as a communication, reporting, measurement, and tracking tool to enhance productivity. Collaborate with the entire Phoenix Contact team to align efforts, effectively communicate both verbally and written. Track and report on business development activities and performance metrics. Differentiate Phoenix Contact from other component vendors by building “partner” relationships with customers. Focus on the customer by averaging a minimum of 16 t

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