Marketing Measurement Specialist

Responsibilities

• Partner with Measurement Strategy Managers throughout the causal Marketing Mix Modeling (cMMM) lifecycle, from kickoff and method presentation through model release, interpretation, enablement, and action planning.
• Translate cMMM results into planning and budgeting improvements across channels and markets.
• Configure and QA model inputs and outputs, review updates, and explain method, model, scope, and multi-KPI changes.
• Own escalations involving business reviews, planning sessions, complex cMMM questions, custom covariates, model changes, and technical customer re-engagement.
• Deliver high-quality models and follow-ups, including deep-dive prototypes, scenario work, before-and-after narratives, and renewal narratives.
• Define repeatable MMM engagement practices and build playbooks, templates, and documentation.
• Design and supervise AI workflows for cMMM, creating guardrails and training data for safe automation.
• Provide structured customer feedback to product, science, and engineering teams; support case studies, bakeoffs, and pre-sales activities.

Requirements

• 3+ years of direct Marketing Mix Modeling experience, including model-building exposure, interpretation, and recommendation-making.
• Experience with incrementality testing or other marketing experimentation.
• General understanding of the marketing measurement landscape.
• 3+ years of experience in a customer-facing role.
• Ability to navigate messy media data and translate complex models into actionable campaign decisions.
• Comfortable working in ambiguous, early-stage environments while managing multiple customers and building processes.
• Experience communicating product feedback to technical teams.
• Understanding of causal MMM, incrementality, experimentation, model updates, and customer-facing measurement delivery.

Nice-to-haves

• Agency experience.
• Experience making MMM value tangible to clients.
• Experience scaling data collection, covariate selection, or insights delivery through thoughtful automation.
• Perspective on MMM-first versus GeoLift-first incrementality roadmaps.
• Frameworks for varying confidence in model outputs based on experimental coverage.
• Ability to educate MTA-focused clients about MMM and explain how MMM, MTA, and experiments fit together.

Compensation & Benefits

• $160,000–$180,000 salary.
• Flexible PTO.
• Equity.
• Health, dental, and vision insurance with multiple plan options.
• Work-from-home stipend.
• Events and offsites.
• Free lunch when working from the office.
• New parent leave.