Marketing Measurement Specialist - San Francisco

Haus Analytics • San Francisco, CA

2d • $160,000 - $180,000 • Hybrid

About The Position

Haus is the causal marketing platform top businesses trust to optimize billions in ad spend worldwide. With support from PhD economists, data scientists, and growth experts, Haus’ AI-driven technology translates complex marketing measurement into clear action and outcomes, enabling brands like Dyson, Wayfair, Sonos, Fanduel, SharkNinja, and Intuit to optimize spend, accelerate growth, and make smarter marketing decisions at scale.

The Opportunity:
For years, advertisers have lived with traditional MMMs: slow, opaque, correlational models that are tough to bet on. That's why we built Causal MMM — grounded in incrementality as the source of truth, and engineered to be served at scale to hundreds of brands.
We are building a single customer-facing science team — one science org accountable for the customer experience end to end. As a Marketing Measurement Specialist (MSP), you are central to the models for multiple customers. You are the dedicated science point of contact. For other clients, you own escalations, monthly check-ins, on-call support, and model updates. Throughout, you operate as the analytical co-pilot to the MSM (Measurement Strategy Manager), who owns the client relationship.

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.

Nice To Haves

• 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.

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.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed