Measurement Partner II

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.