Measurement Partner II (tvScientific)

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 . Role Summary As a Measurement Partner II (Experimentation & Brand) at tvScientific by Pinterest, you’ll be the go-to expert for all things experimentation and brand impact measurement. You’ll guide both internal teams and external partners through rigorous test design, brand lift studies, and incrementality measurement—helping advertisers understand and grow the value of their investment through clear, decision-ready insights. From translating advertiser objectives into robust experiments to turning complex results into compelling stories, you’ll play a critical role in shaping how we prove and communicate the value of tvScientific + Pinterest campaigns. This is a role for someone who loves rigorous analysis, thrives in a collaborative environment, and knows how to turn complex measurement into simple, actionable narratives that drive real business outcomes. What You'll Do: • Own and evolve our experimentation and brand measurement strategies and playbooks across key advertisers and verticals. • Serve as a strategic measurement partner for internal teams and external clients, helping define learning agendas and recommending the right approaches (e.g., A/B tests, geo tests, brand lift). • Translate advertiser objectives into robust test designs with clear hypotheses, KPIs, timelines, and guardrails. • Lead the end-to-end execution of controlled experiments, incrementality tests, and brand lift studies—from scoping and setup through QA, analysis, and readout. • Analyze large, complex datasets using appropriate statistical methods to estimate lift and brand impact, and sanity-check results for real-world plausibility. • Turn complex analytical outputs into clear, concise insights and recommendations tailored to different audiences (executives, marketers, and technical partners). • Synthesize learnings across campaigns and studies to identify patterns, codify best practices, and build reusable frameworks and case studies. • Collaborate closely with Product, Data Science, and external measurement partners to evolve our experimentation and brand measurement capabilities. • Support sales and customer-facing teams by equipping them with measurement narratives, proof points, and guidance for client conversations. • Manage a portfolio of concurrent studies, keeping stakeholders updated on timelines, risks, and outcomes. What We’re Looking For: • 3+ years of experience in marketing science, media analytics, experimentation, or a related quantitative role, experience in ad tech, digital media, or brand measurement is a major plus. • A strong track record of designing and interpreting experiments or causal analyses (e.g., A/B tests, geo-experiments, matched-market tests, brand lift studies). • Deep understanding of brand and upper-funnel metrics (e.g., awareness, consideration, favorability) and how they connect to business outcomes. • Skilled in working with large datasets (SQL, Python/R, or similar) and applying appropriate statistical techniques to estimate lift and validate results. • Clear communicator who can make technical and statistical concepts easy to understand and relevant to business and creative decisions. • Experience partnering cross-functionally with Sales, Customer Success, Product, and Data Science, and collaborating with third-party measurement vendors. • Proven ability to manage multiple concurrent projects, prioritize effectively, and keep stakeholders aligned in a fast-moving environment. • Proactive, detail-oriented, and excited to build measurement frameworks and playbooks, not just run one-off analyses. • Comfortable leveraging AI tools to accelerate analysis, streamline reporting, and enhance the development of measurement frameworks and playbooks. • Bachelor’s degree in a relevant field such as Business or Marketing, or equivalent experience. I n-Office Requirement Statement: • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role. • This role will need to be in the office for in-person collaboration 1-2 times a year and therefore can be situated anywhere in the country. Relocation Statement: • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-REMOTE #LI-LP1 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here . US based applicants only $103,965 — $214,044 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. 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