Sr. Measurement Scientist, Solution Engineering

LiveRamp is the data collaboration platform of choice for the world’s most innovative companies. A groundbreaking leader in consumer privacy, data ethics, and foundational identity, LiveRamp is setting the new standard for building a connected customer view with unmatched clarity and context while protecting precious brand and consumer trust. LiveRamp offers complete flexibility to collaborate wherever data lives to support the widest range of data collaboration use cases—within organizations, between brands, and across its premier global network of top-quality partners. Hundreds of global innovators, from iconic consumer brands and tech giants to banks, retailers, and healthcare leaders turn to LiveRamp to build enduring brand and business value by deepening customer engagement and loyalty, activating new partnerships, and maximizing the value of their first-party data while staying on the forefront of rapidly evolving compliance and privacy requirements. 
 Marketing measurement is changing fast! Signal loss, channel fragmentation, walled gardens, and the deprecation of identifiers have disrupted legacy solutions.  But, the rise of AI & agentic tooling, clean room technology, and alternative methodologies offer new opportunities to answer the age-old question: what is actually working? LiveRamp is uniquely positioned to power this evolution. Our identity graph, data collaboration infrastructure, partner ecosystem and cross-screen data assets form the foundation for a new generation of privacy-safe, deterministic measurement.  We need a measurement expert who can bring that vision to life for our customers. We’re hiring a Sr. Solution Engineer, Measurement to join our pre-sales team as a dedicated measurement subject matter expert. This is a hands-on role focused on LiveRamp’s full suite of measurement solutions. You’ll operate at the intersection of data science and customer engagement: advising senior measurement stakeholders on methodology, architecting measurement solutions on our platform, building rapid prototypes and experiments, and helping shape the future of LiveRamp’s measurement strategy through field-level insight and innovation. Think of this role as LiveRamp’s measurement field scientist, someone who combines deep expertise in incrementality, attribution, media mix modeling, and causal inference with the technical skills to implement these approaches using real data and code, and the executive presence to make the case to the people who control measurement budgets. You will: Measurement Advisory & Consultative Sales Serve as LiveRamp’s pre-sales measurement authority, guiding customers through the landscape of measurement methodologies—incrementality / lift testing, multi-touch attribution, media mix modeling, causal AI, and hybrid frameworks—and recommending the right approach for their specific business objectives and data maturity Lead technical discovery and white-boarding sessions with senior measurement stakeholders (VPs of Analytics, Heads of Measurement, Data Science Leads, agency measurement teams) to diagnose challenges and design LiveRamp-powered solutions Translate complex measurement concepts—intent-to-treat analysis, propensity scoring, difference-in-differences, synthetic control, test/control design—into narratives that resonate with both technical and C-level audiences Partner with Sales as the technical and analytical authority in competitive measurement deals, building the credibility and trust that wins business   Solution Design & Data Architecture Design end-to-end measurement solutions leveraging LiveRamp’s Cross-Screen Measurement product, identity graph (RampID), and clean room technology across customer verticals. Advise customers on the data infrastructure and data science requirements to execute measurement at scale: clean room configuration, identity resolution workflows, first-party data onboarding, log-level data access, and analytical environment setup Provide technical guidance on implementation trade-offs: Python vs. SQL for analytical workloads, in-platform computation vs. data export, deterministic vs. modeled measurement approaches, and privacy-safe data collaboration workflows Produce detailed technical scoping documents, reference architectures, and implementation plans that bridge the pre-sales promise to post-sales delivery, ensuring seamless handoffs to Customer Success, Technical Solutions and Data Science teams.   Prototyping, Demos & Innovation Build working prototypes, proof-of-concepts, and demo environments that bring LiveRamp’s measurement capabilities to life.  Demonstrate causal inference workflows, incrementality analyses, and cross-screen attribution models within our clean room and identity infrastructure. Experiment with emerging measurement techniques, ex. causal AI, Bayesian media mix modeling, synthetic control methods, double machine learning, and translate them into repeatable, demonstrable solutions on LiveRamp’s platform Help create reusable technical assets (code notebooks, solution blueprints, demo scripts, analytical templates) that scale the team’s ability to address measurement use cases across the sales organization Feed product roadmap priorities from the field, collaborating with Product and Engineering to ensure our measurement products evolve in line with what customers and the market actually need   Thought Leadership & Ecosystem Engagement Represent LiveRamp as a measurement thought leader at industry events, conferences, and customer workshops, articulating our measurement philosophy and technical differentiation Stay current on industry developments in cross-screen measurement, privacy-safe analytics, causal inference, identity, and the evolving competitive landscape, and bring those insights back to the team Build relationships across the measurement ecosystem—agencies, measurement vendors, data partners, industry bodies—to strengthen LiveRamp’s positioning as a measurement infrastructure leader   About you: 8+ years of progressive experience in advertising measurement, marketing analytics, or a related quantitative discipline, including meaningful time at a specialist measurement or analytics firm (e.g., VideoAmp, Neustar/TransUnion, Nielsen, Alembic, Measured, IRI/Circana, Analytic Partners) or in an advanced measurement function at a major platform, agency, or brand Deep domain expertise in measurement methodologies: incrementality / lift testing, multi-touch attribution, media mix modeling, and causal inference techniques (intent-to-treat, propensity scoring, difference-in-differences, synthetic control, Granger causality) Hands-on proficiency with Python and SQL for data analysis, statistical modeling, and measurement implementation—you can open a notebook and build a working analysis, not just talk about one Working knowledge of clean room technologies (LiveRamp, Snowflake, Databricks, AWS/AMC) and identity resolution concepts as they apply to measurement and data collaboration Proven ability to engage and influence senior measurement stakeholders (VP+ level) in complex, consultative sales or advisory engagements—you’ve been the person in the room who shifts the conversation The combination of executive presence and IC drive: you’re senior enough to command credibility, but you genuinely want to build demos, write code, and work hands-on with customer data teams Exceptional communication and presentation skills—you can explain a difference-in-differences design to a CMO and a data ingestion architecture to an engineer in the same meeting Bachelor’s degree in a quantitative field (Statistics, Economics, Mathematics, Computer Science, Engineering, or related); Master’s degree or equivalent practical experience preferred   Preferred Direct experience with cross-screen or multi-touch TV measurement—including linear, CTV/OTT, and digital video measurement methodologies and data sources (ACR data, set-top box, smart TV, server-side ad insertion) Experience applying causal AI or machine learning to marketing measurement (e.g., Bayesian structural time series, double ML, causal forests, spiking neural networks, graph-based causal models) Familiarity with LiveRamp’s identity infrastructure, RampID, and data collaboration platform Experience in a pre-sales, solutions engineering, or technical consulting role within AdTech or MarTech Knowledge of data privacy regulations (GDPR, CCPA/CPRA) and their implications for measurement, identity, and data collaboration Familiarity with major cloud data platforms (Snowflake, Databricks, BigQuery, AWS, Azure) and their role in measurement data infrastructure Track record of measurement-related thought leadership: white papers, conference talks, blog posts, or published research   Why You Might Be Excited About This Role You’ll be the go-to measurement expert for one of the most important data infrastructure companies in advertising—your work will directly shape how the industry measures media effectiveness in a post-cookie, cross-screen world LiveRamp’s identity graph and clean room infrastructure give you a unique technical foundation to build measurement solutions that no one else can—deterministic, privacy-safe, and cross-screen by design You won’t just talk about measurement—you’ll build it. This role has real technical depth: prototyping causal models, writing code, designing data architectures, and pushing the boundaries of what’s possible with LiveRamp’s stack You’ll have a direct line to Product and Engineering to influence what LiveRamp builds next in measurement—your field insight becomes product strategy LiveRamp is trusted by hundreds of the world’s largest brands and media companies—you’ll work on high-profile, complex measurement challenges, not small-ball implementations   Your Team You’ll sit within LiveRamp’s Solution Engineering organization. You’ll work closely with the broader SE team (covering Identity, Connectivity, and Data Collaboration), the Cross-Screen Measurement product team, the Data Science organization, Sales, and Customer Success. While this is an individual contributor role, you’ll be the measurement center of gravity for the commercial organization, the person everyone turns to when a deal, a customer, or a product decision requires deep measurement expertise.   The approximate annual base compensation range is $171,500 to $201,500. This position is also eligible for variable incentive compensation targeted at 33% of base salary, subject to the terms of the applicable incentive compensation plan. Accordingly, the on-target earnings (OTE) range for this role is approximately $228,095 to $267,995, assuming achievement of target performance goals. Actual compensation will depend on a number of factors, including the applicant’s experience, knowledge, skills, abilities, geography, performance, and internal equity among our team. 
 Benefits: People: Work with talented, collaborative, and friendly people who love what they do. Fun: We host in-person and virtual events such as game nights, happy hours, camping trips, and sports leagues.  Work/Life Harmony: Flexible paid time off, paid holidays, options for working from home, and paid parental leave. Comprehensive Benefits Package: LiveRamp offers a comprehensive benefits package designed to help you be your best self in your personal and professional lives.  Our benefits package offers medical, dental, vision, life and disability, an employee assistance program, voluntary benefits as well as perks programs for your healthy lifestyle, career growth and more. Savings: Our 401K matching plan—1:1 match up to 6% of salary—helps you plan ahead.  Also Employee Stock Purchase Plan - 15% discount off purchase price of LiveRamp stock (U.S. LiveRampers) More about us: LiveRamp’s mission is to connect data in ways that matter, and doing so starts with our people. We know that inspired teams enlist people from a blend of backgrounds and experiences. And we know that individuals do their best when they not only bring their full selves to work but feel like they truly belong. Connecting LiveRampers to new ideas and one another is one of our guiding principles—one that informs how we hire, train, and grow our global team across nine countries and four continents. Click here to learn more about Diversity, Inclusion, & Belonging (DIB) at LiveRamp. LiveRamp is an affirmative action and equal opportunity employer (AA/EOE/W/M/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, disability, sexual orientation, gender identity, genetics or other protected status. Qualified applicants with arrest and conviction records will be considered for the position in accordance with the San Francisco Fair Chance Ordinance.  We use automated decision systems (ADS) as part of our recruitment and hiring process. If you require an accommodation or believe that the use of an ADS may create a barrier to your application or participation in the hiring process due to a disability or other protected characteristic, please let us know. We are committed to providing reasonable accommodations and ensuring an equitable hiring experience for all candidates. California residents: Please see our California Personnel Privacy Policy for more information regarding how we collect, use, and disclose the personal information you provide during the job application process. To all recruitment agencies: LiveRamp does not accept agency resumes. Please do not forward resumes to our jobs alias, LiveRamp employees or any other company location. LiveRamp is not responsible for any fees related to unsolicited resumes.