Measurement Lead Jobs

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 electrical validation for high-speed interfaces, including PCIe, Ethernet 10G/25G/100G/400G, DDR4/DDR5, SATA, and USB3. Perform signal validation for low-speed and control interfaces, such as I2C, SPI, MDIO, eMMC, GMII/RGMII, and related management buses. Execute signal quality measurements using oscilloscopes, BERT, network analyzers, and other signal analysis tools. Review and interpret electrical voltage, timing, jitter, eye diagram, and compliance requirements from IC vendors, interface standards, and internal design guidelines. Plan and execute power validation for multiphase power stages, DC/DC buck converters, PSU rails, and board-level power delivery networks. Perform power integrity validation, including ripple noise measurement, transient response, power sequencing, E-load testing, and PSU evaluation. Analyze SI/PI measurement results, identify potential root causes, and provide feedback to hardware design, layout, firmware, and vendor teams. Work with hardware and layout teams to define SI/PI validation plans, test coverage, test limits, and measurement methodologies. Generate validation reports to support project development stages, issue tracking, design reviews, and second-source verification. Develop and execute basic test scripts in Linux environments to support validation, automation, and

NVIDIA's Digital Marketing Operations team is seeking a Senior Data Engineer to help build the shared data infrastructure that powers customer engagement, campaign intelligence, and marketing analytics at scale. Our data platform transforms customer behavioral signals, audience definitions, consent records, campaign metadata, and activation outputs into trusted, governed data products for marketing, analytics, personalization, campaign operations, and regional teams worldwide. These products enable audience segmentation, campaign performance measurement, privacy-compliant data activation, identity resolution, and the continued growth of NVIDIA's marketing technology ecosystem. We would love for you to apply today! What You'll Be Doing: Own a key data domain within Digital Marketing Operations, spanning pipelines, data products, audience services, and consumer teams. Shape its architecture and interfaces while anticipating needs related to scale, reliability, performance, privacy compliance, security, cost, and compatibility. Lead complex, cross-functional initiatives. Collaborate across engineering, marketing, and operations stakeholders to translate requirements into clear data architectures, write high-quality code in the critical path, and drive integrations safely into production. Architect, implement, and evolve batch and streaming pipelines that ingest, transform, reconcile, and serve customer behavioral, audience, campaign, consent, and activation data at scale. Build reliable, maintainable systems leveraging distributed processing frameworks, workflow orchestration tools, cloud data warehouses, object storage, and pub/sub messaging platforms. Build and evolve shared data quality frameworks and engineering standards that improve pipeline reliability, consistency, and efficiency across teams. Lead production incident investigations across pipelines, distributed processing, storage, an

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Digital & Social Media Marketing Manager Overview We are looking for a digitally driven marketing professional to develop and deliver integrated marketing campaigns for the German market. In this role, you will manage campaigns from initial concept and planning through execution, optimization and measurement. You will work across digital channels, content, paid media and social media, partnering with agencies and internal teams to deliver effective marketing programs that support our business priorities and engage customers. This is a hands-on individual contributor role for someone who combines strategic thinking with strong campaign execution. You do not need to be a technical specialist or an experienced people manager. What matters most is your ability to take ownership of complex digital campaigns, coordinate multiple stakeholders and agencies, and use performance data to improve results. Key Responsibilities Digital and Integrated Campaign Management • Develop and deliver digital and integrated marketing campaigns aligned with business objectives, customer needs and market priorities. • Manage the full campaign lifecycle, from developing the initial strategy and brief through activation, optimization and post-campaign evaluation. • Translate business challenges and customer o

Become a part of our caring community The Senior Process Improvement Professional analyzes and measures the effectiveness of existing business processes and develops sustainable, repeatable and quantifiable business process improvements. The Senior Process Improvement Professional work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. The Senior Process Improvement Professional researches best business practices within and outside the organization to establish benchmark data. Collects and analyzes process data to initiate, develop and recommend business practices and procedures that focus on enhanced safety, increased productivity and reduced cost. Determines how new information technologies can support re-engineering business May specialize in one or more of the following areas: benchmarking, business process analysis and re-engineering, change management and measurement, and/or process-driven systems requirements. Begins to influence department’s strategy. Makes decisions on moderately complex to complex issues regarding technical approach for project components, and work is performed without direction. Exercises considerable latitude in determining objectives and approaches to assignments. Use your skills to make an impact Required Qualifications The Sr. Process Improvement Professional must meet one, (1) of the following requirements: Licensed Professional (LSW) in the state of Kentucky OR ability to obtain, Master’s degree from an accredited university or college in social work, psychology or related health and human services area with a minimum of one, (1) year professional experience in case management.

Corporate Affairs Intern Description - Before applying: please note that, to be eligible for this position, you must be currently enrolled at a university in Spain, remain enrolled until the end of the internship , and be eligible to sign an internship agreement with your university. You must also be available to start the internship in February 2027 and continue participating in the program for a minimum of 5 months and a maximum of 12 months. Job Summary HP is seeking a motivated and detail-oriented Global Corporate Affairs Intern to support the HP Solutions Communications team based in Barcelona. This role offers a unique opportunity to gain hands-on experience in global corporate communications, storytelling, campaign coordination, media relations support, content planning, and communications measurement. The intern will help drive operational excellence across key communications programs while supporting collaboration between Marketing and Communications teams. Working with global stakeholders, the intern will contribute to initiatives that strengthen HP Corporate Affairs narratives, amplify business priorities, and improve visibility into communications performance. This role is designed to provide valuable professional development while supporting strategic communications objectives and helping build HP's future talent pipeline. Key Responsibilities Support coordination and alignment between Marketing and Communications teams on shared priorities, campaigns, and initiatives. Maintain and update integrated trackers for content development, campaigns, amplification activities, and key performance indicators (KPIs). Assist in managing the HP Solutions communications content pipelin

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Schedule WFH- Monday through Friday 8a-5p in time zone of residence Position Summary Applies specialized clinical and industry knowledge and performance improvement best practices to quality improvement efforts. Analyzes workflow and organizational performance to evaluate effectiveness of interventions and ensure continuous alignment with regulatory and accreditation standards. Supports and drives the implementation, measurement, and evaluation of POSC Council workplans. Supports POSC Council and executive sponsors to advance initiatives aimed to achieve HEDIS and CAHPS goals. Provides insights and recommendations to optimize healthcare practices and achieve highest standards of care and service delivery, in alignment with industry and accreditation best practices. Primary Job Duties & Responsibilities • Develops and implements quality improvement programs and initiatives to monitor and improve healthcare services and processes. Quantitatively and qualitatively analyzes organizational systems and performance in alignment with regulatory and accreditation standards. • Drives and implements evidence-based performance improvement interventions that address areas for improvement, reduce variations in care, and enhance clinical effectiveness. Establishes, tracks and monitors process and outcome measures. Prepares materials and organ

About the Role The Senior AI Evals Test Engineer is a hands-on technical role responsible for defining, developing, and executing robust evaluation frameworks and test strategies for AI agents built using the Google Agent Development Kit (ADK) or similar sort of agentic frameworks . This role bridges AI development and reliable deployment — ensuring our agents are safe, ethical, effective, and meet high-quality performance standards. A significant focus of the role is on Responsible AI and Safety Evals, including adversarial testing, red-teaming, bias detection, and toxicity measurement . The engineer will design scalable evaluation pipelines , build synthetic test environments, and work closely with AI/ML Engineers, Researchers, and policy teams to ensure agents are production-ready and compliant with regulatory and ethical standards. The role is 70% Automation and 30% Manual Testing , and sits within the Applied AI: Test Engineering team as a key technical authority. Key Responsibilities Design and build agent evaluation frameworks — create end-to-end infrastructure for evaluating LLM-based agents across correctness, latency, cost, safety, and task completion rate Build synthetic testing environments and simulation strategies to stress-test AI agents under diverse real-world conditions, with specific focus on agents built on Google ADK and related Google AI/ML services (e.g., Vertex AI, Gemini models) Build golden datasets and test harnesses — curate domain-specific evaluation sets for Rubrik's product verticals (data security, SaaS protection, cyber recovery, compliance) Establish eval-as-a-service — build and enhance centralized evaluation platform that any IT team members can self-serve to test their agents against standardized and custom benchmarks Automate regression and drift detection — implement CI/CD-integrated eval pipelines that catch regressions on every model or prompt change before production deployment Define eval taxonomies and rubrics — est

Work Flexibility: Onsite What you will do As a Quality Assurance Representative, you will perform incoming, in-process, and final quality control inspections of components, assemblies, and electromechanical products while ensuring products and documentation meet established specifications, quality standards, and regulatory requirements. Conduct incoming, in-process, and final quality control inspections of components, assemblies, electromechanical products, and completed customer orders using established inspection procedures and specifications. Perform routine, non-routine, and advanced inspections using calibrated gauges, meters, calipers, measurement tools, and other inspection equipment, including close-tolerance measurements. Review inspection and testing documentation, Device History Records, packaging, labeling, product literature, and revision levels for compliance with specifications and Good Documentation Practices. Interpret engineering drawings, blueprints, and schematics to complete accurate inspections and verify product requirements. Document inspection results, identify and report nonconformities or abnormalities, and work with Quality, Operations, Materials, Engineering, suppliers, and other partners to resolve quality issues. Maintain inspection equipment and work areas in accordance with calibration, line clearance, quality, and documentation requirements. Train and provide inspection technique, process, and procedure guidance to other Quality Control Inspectors. Support internal and external audits, quality improvement projects, inspection plan updates, non-standard inspection activities, and testing activities such as Production Part Approval Process and Gage Repeatability and Reproducibility studies. What you will need Required High sch

Levanta is the creator affiliate platform built for modern e-commerce. We connect brands, creators, publishers, and marketplaces through a single platform for creator discovery, activation, partnership management, payments, and cross-channel performance measurement. Through our Creator Marketplace and AI-powered Social Discovery, brands can access more than 90,000 vetted creators and millions more across TikTok, Instagram, and Facebook, building measurable creator partnerships across Amazon, Walmart, Shopify, and other retail channels. Following our recent $22 million Series B, which brought our total funding to more than $43 million, we are investing further in our technology, our team, and our expansion across the retail ecosystem. We are building the infrastructure for Creator Commerce Media and creating more opportunities for brands to grow, creators to earn, and marketplaces to generate measurable demand. **We are only accepting candidates with verified LinkedIn profiles** We're hiring a Support Engineer to join Levanta's growing team. This role is the bridge / glue between Customer Success and Engineering to troubleshoot and resolve product, integration, and API-related issues. The ideal candidate is customer-obsessed, technically savvy, and comfortable working cross-functionally to ensure a high-quality customer experience. What You'll Own: Respond to technical issues and questions via Slack, Linear (our ticketing software), and Pylon Understand the technical nuances of Levanta's technology and guide customers through their challenges Escalate product bugs to the engineering team with clear context Create and maintain technical support documentation to enable the entire CS and engineering team to serve our customers Identify repeat issues and propose solutions to improve the product Build out internal tools to solve common issues Utilize and implement AI workflows that will make our support process more efficient What We're Looking For: 2+ years of prior expe

About the team The Growth team drives user and revenue growth across ChatGPT’s consumer and business segments and other OpenAI products worldwide. We work across the full funnel—from awareness and acquisition through activation, retention, and expansion—using experimentation, data science, machine learning, and product engineering to help more people discover and realize durable value from OpenAI’s products. Our team partners closely with Product, Engineering, Data Science, Design, Finance, Lifecycle, and Growth Marketing. We move quickly, test rigorously, and hold a high bar for measurement, privacy, reliability, and user trust. About this role: We are looking for a Machine Learning Engineer to build the models and decision systems that optimize paid marketing investment for ChatGPT and other OpenAI products. You will develop budget allocation and control algorithms that determine where to invest, how quickly to spend, and how to adjust as performance changes. The challenge is to make reliable decisions from noisy, delayed, and incomplete signals. You will combine machine learning, optimization, and experimentation to improve incremental growth and long-term user value within budget and efficiency constraints. You will own this work from problem formulation and prototyping through deployment, evaluation, and ongoing operation. This role is based in San Francisco, CA. We use a hybrid work model of three days in the office per week and offer relocation assistance to eligible employees. In this role, you will: Build budget allocation algorithms. Decide how to distribute investment across channels, campaigns, and markets using estimates of marginal returns, while accounting for diminishing returns, uncertainty, and business constraints. Develop spend pacing and adaptive control systems. Adjust budgets and spending rates as performance changes, balancing responsiveness with stability when feedback is delayed or noisy. Build in spend limits, monitoring, and safe fallback

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary Aetna Medical Economics Unit (MEU) has an exciting opportunity for a Senior Informatics Manager to join our Performance Guarantee and Operational Reporting Team. The Operational Reporting and Analytics team within MEU is responsible for operational measurement and analysis for all Care Management programs. The role is responsible for ensuring the accuracy, consistency, and integrity of measure specifications, validation processes, and reporting outputs that support clinical performance guarantee reporting. The Senior Informatics Manager will serve as a key liaison across business, clinical, underwriting, reporting, and technology teams to drive alignment on measure logic, data requirements, validation findings, and implementation strategies. Furthermore, this role will support efforts to drive continuous improvement. Responsibilities Develop and maintain clinical performance report logic/code and report production Compile detailed reporting requirements, understand clinical programs and workflows as well as data sources. Track progress against performance targets. Evaluate outcomes and communicate progress to stakeholders. Collaboration with Underwriting and Business Stakeholders. Required Qualifications 7+ years of experience in reporting and analytics with advanced SQL development, data mo

CSQ327R12 Enterprise customers are investing in AI, but most are stuck between a successful pilot and real organizational adoption. The gap is not technology. It is whether the workforce can change how it works. You will own end-to-end workforce transformation engagements with Databricks' largest customers. You will diagnose where a customer's workforce is today, define what needs to change, build the transformation plan, and drive execution until adoption sticks. You are the directly responsible individual for each engagement, not a contributor to someone else's project. The Impact You Will Have Own the full transformation lifecycle for each customer, from workforce assessment through capability pathways, operating rhythm, and measurement. You build the plan and you execute it. Run 2 to 3 concurrent engagements across different formats. These range from short-cycle assessments (2 to 4 weeks) to coached transformations (8 to 12 weeks) to deep embedded engagements (12 to 16 weeks). You will manage a mixed portfolio simultaneously. Design for multiple organizational layers within a single engagement. That means building executive sponsorship with CDOs, CIOs, and CHROs while also architecting the manager enablement and individual contributor adoption layers underneath. Drive execution, not just planning. You will stand up the operating rhythm, coach internal champions, unblock adoption barriers, and adjust the plan when reality diverges from the model. Design the human-agent collaboration model for each customer's workforce. Assess workflows and distinguish what should stay human from what should be automated, agent-assisted, or fully agent-led. Design differentiated pathways for builders in technical roles and users in workflow roles. Shape how engagements are scoped and priced. You are closest to the work and will ensure that commercial commitments are deliverable. Turn what you learn into repeatable tools and playbooks that can scale beyond practitioner-led delivery

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. The MRDA Technician supports Metrology and RealTime Defects Analysis operations by executing measurement activities, monitoring process deviations, assisting engineers with defect investigations, and ensuring timely detection of issues affecting product quality. The role focuses on hands on tool operation, data collection, basic troubleshooting, material disposition, product and tool qualification, and supporting improvement projects within the manufacturing environment. Realtime Defects Analysis operations by executing measurement activities, monitoring process deviations, assisting engineers with defect investigations, and ensuring timely detection of issues affecting product quality. The role focuses on hands-on tool operation, data collection, first level or basic troubleshooting, and supporting improvement projects within the manufacturing environment. Key Responsibilities Metrology & Defect Detection Support Perform measurement activities using established recipes to provide quick and accurate feedback on product integrity. Operate inspection and metrology tools to support defect detection using the latest innovative inspection technologies. Collect and organize measurement and defect data for engineer

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. The MRDA Technician supports Metrology and RealTime Defects Analysis operations by executing measurement activities, monitoring process deviations, assisting engineers with defect investigations, and ensuring timely detection of issues affecting product quality. The role focuses on hands on tool operation, data collection, basic troubleshooting, material disposition, product and tool qualification, and supporting improvement projects within the manufacturing environment. Realtime Defects Analysis operations by executing measurement activities, monitoring process deviations, assisting engineers with defect investigations, and ensuring timely detection of issues affecting product quality. The role focuses on hands-on tool operation, data collection, first level or basic troubleshooting, and supporting improvement projects within the manufacturing environment. Key Responsibilities Metrology & Defect Detection Support Perform measurement activities using established recipes to provide quick and accurate feedback on product integrity. Operate inspection and metrology tools to support defect detection using the latest innovative inspection technologies. Collect and organize measurement and defect

About the Team Our team builds classification and evaluation systems that give post-training and research teams fast, reliable feedback on model behavior. We combine machine learning and production engineering to make these capabilities accurate, efficient, and useful at scale, helping researchers assess changes and improve models and products. We work closely with researchers and data scientists and have broad ownership of the software that makes these capabilities available. Our work spans real-time systems, data engineering, model serving, and tools for experimentation, with careful attention to performance, reliability, and privacy. About the Role We’re looking for a software engineer to build and evolve our classification and evaluation platform. You’ll develop services, online and offline pipelines, and tools that help researchers and data scientists turn an idea into a working measurement and iterate on it quickly. This role combines software and data engineering with hands-on production ownership. You’ll shape the architecture, deliver new capabilities, improve inference efficiency, and keep the system dependable as workloads and requirements evolve. Strong candidates will bring deep software engineering expertise and an interest in building a technical product in close partnership with its users. In this role, you will: Design and build software services and APIs for configuring, running, and managing classifiers and evaluations. Build and operate online and offline classification pipelines that support reliable, efficient execution at scale. Improve model-serving performance, including throughput, latency, concurrency, and compute utilization. Build tools that make experimentation, debugging, and iteration straightforward for researchers and data scientists. Own production reliability, observability, and incident response, and reduce the operational burden of running the platform. Partner with machine learning engineers to bring new classification capabili