Responsibilities

• Partner with MSMs across the cMMM journey — from kickoff and method presentation through v1 model release, interpretation, in-app enablement, and action planning — translating cMMM results into concrete planning and budgeting improvements across channels and markets, anchored in the customer's business context.
• Safeguard model integrity and update cadence: configure and QA v1 model inputs and outputs, review model updates, and explain method/model/scope changes and multi-KPI insights.
• Own the escalation: value realization moments (business reviews, major planning sessions, handoffs), meaningful method/model/scope changes, complex cMMM questions, custom covariates, and technical re-engagement after customer-team changes — escalating to cMMM Data Science when needed.
• Protect and grow revenue by delivering high-quality, on-time models and follow-ups (deep-dive prototypes, scenario work, before/after narratives, renewal narratives) that help expand accounts, while meeting onboarding and modeling SLAs across a sizable book of business.
• Enable the wider team: define with MSMs what "good MMM engagement" looks like, and build the playbooks, templates, and documentation that let MSMs, Onboarding Managers, and DS run cMMM motions repeatably.
• Bridge manual expertise and automated scale by designing and supervising AI workflows for cMMM — turning your best analyses into guardrails and training data so repeatable tasks are automated safely and you focus on high-value prototypes and complex enterprise challenges.
• Act as a voice of the customer to product, science, and engineering — bringing structured feedback from engagements and partnering on the roadmap — and support case studies, bakeoffs, and pre-sales where your expertise matters most.

Requirements

• 3+ years direct MMM experience (some of the build, full interpretation and recommendation-making), plus experience with incrementality testing or other marketing experimentation and a general understanding of the measurement landscape.
• 3+ years in a customer-facing role. Scrappy and resourceful; agency experience is a plus. You can navigate messy media data and translate complex models into the actionable campaign decisions clients face daily.
• Comfort in ambiguous, early-stage environments — juggling multiple customers while making progress on longer-term process building — and experience communicating product feedback to technical teams.
• Genuine buy-in to the Causal MMM vision. You believe MMM can be served at scale — frequent updates, incrementality results as direct model inputs — and you're excited to help prove it. If you have reservations, you can articulate the blockers from your experience and ideas for busting through them.
• Already thinking about how serving cMMM differs from MMM as you've known it — the cadence, experiments guiding the model, and operating in support of a client-owning MSM — and how you'd adjust your working style.

Preferred

• Value realization beyond model fit — you've made MMM value tangible to clients and have ideas for designing that at Haus.
• Scalable approaches to the heavy-lift pieces — data collection, covariate selection, insights delivery — with intentionality behind any automation you've built.
• A point of view on how an MMM-first incrementality testing roadmap differs from a GeoLift-first one — test sequencing, channel prioritization, experiment design.
• A framework for differing conviction levels across model outputs given uneven experimental coverage by channel, and how that shapes recommendations.
• MTA/MMM articulation — educating MTA-native clients into MMM, and a view on how MMM, MTA, and experiments fit together in a modern stack.

Benefits

• Some of our benefits include: - 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 We value in-person collaboration at Haus and give preference to candidates within commuting distance of our offices in San Francisco, Seattle, and New York City.