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Marketing Measurement Specialist, MMM

🔥 9 minutes ago

🏄 California, New York, +1 more states – Remote

infoinfo

💵 $160k - $180k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🎡 Marketing

Where this job comes from

Posted on Haus's careers page, not through a job board

First seen by Remote Rocketship 9 minutes ago

Logo of Haus

Haus

11 - 50 employees

💼 Consulting

📦 Logistics

☁️ SaaS

💰 $4M Venture Round on 2022-06

Consulting • Logistics • SaaS

Haus is a marketing science platform that helps businesses measure the incrementality of their advertising efforts, both online and offline. It provides tools like GeoLift and Causal Attribution to optimize marketing campaigns and investments. Haus enables businesses to conduct experiments to evaluate the impact of their advertising spend, offering insights that drive smarter marketing decisions. By employing advanced econometric models, Haus helps companies accurately assess their marketing's incremental value, ultimately leading to better investment strategies and higher returns.

📋 Description

• Partner with Measurement Strategy Managers across the Causal MMM journey from kickoff and method presentation through model release, interpretation, in-app enablement, and action planning • Translate Causal MMM results into planning and budgeting improvements across channels and markets • Configure and QA v1 model inputs and outputs • Review model updates and explain method, model, scope changes, and multi-KPI insights • Own escalations including value-realization moments, complex CMMM questions, custom covariates, and technical re-engagement • Escalate to Causal MMM Data Science when needed • Deliver high-quality, on-time models and follow-ups, including deep-dive prototypes, scenario work, before/after narratives, and renewal narratives • Meet onboarding and modeling SLAs across a sizable book of business • Define effective MMM engagement and build playbooks, templates, and documentation • Design and supervise AI workflows for Causal MMM, converting analyses into guardrails and training data • Provide customer feedback to product, science, and engineering and partner on the roadmap • Support case studies, bakeoffs, and pre-sales activities

🎯 Requirements

• 4+ years direct MMM experience, including some model building, full interpretation, and recommendation-making • Experience with incrementality testing or other marketing experimentation • General understanding of the measurement landscape • 4+ years in a customer-facing role • Ability to navigate messy media data and translate complex models into actionable campaign decisions • Comfort in ambiguous, early-stage environments while juggling multiple customers and process building • Experience communicating product feedback to technical teams • Genuine buy-in to the Causal MMM vision • Understanding of how serving cMMM differs from traditional MMM • Agency experience is a plus • Experience making MMM value tangible to clients • Scalable approaches to data collection, covariate selection, and insights delivery • Point of view on MMM-first incrementality testing versus GeoLift-first approaches • Framework for differing conviction levels across model outputs • MTA/MMM articulation and understanding of how MMM, MTA, and experiments fit together

🏖️ Benefits

• Flexible PTO - take time when you need it! • Equity – Startup environment with part-ownership in our successes • Top of the line health, dental, and vision insurance - multiple plan options so you can pick what fits you best • WFH stipend to support the set up you need to be productive • Events & Offsites – opportunities to connect and celebrate in real life! • Free Lunch – Grab a bite on us when you choose to work from the office (hub locations include SF, NYC and Seattle) • New Parent Leave - take time to welcome your newest Hausmate • Small, mission-driven teams prioritizing inclusion, collaboration, and growth • In-person collaboration opportunities

Apply Now

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