# Marketing Measurement Specialist

**Company:** [Haus](https://hotfix.jobs/companies/haus)
**Location:** San Francisco, CA, Seattle, WA, New York, NY
**Role:** Data Science
**Salary:** $160k – $180k/yr
**Experience:** 3+ years
**Skills:** Marketing Mix Modeling, Causal Mmm, Incrementality Testing, Marketing Experimentation, Geolift, Mta, Media Data, Covariates, Model Qa, AI Workflows
**Posted:** 2026-08-19

> Own customer-facing causal marketing measurement engagements, from model configuration and QA through interpretation, recommendations, escalations, and enablement. The role requires direct MMM experience, marketing experimentation knowledge, and strong customer communication skills.

## Job Description

## 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.

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