Marketing Measurement Specialist - San Francisco
$160,000–$180,000 year
On-siteSan Francisco, California, United States
Job Summary
Partner with Measurement Strategy Managers across the cMMM journey, translating complex model results into concrete planning and budgeting improvements. Safeguard model integrity by configuring inputs, performing QA, and explaining method changes while owning escalations for value realization moments and technical re-engagement. Deliver high-quality, on-time models and follow-ups that expand accounts, meeting SLAs across a sizable book of business. Enable the wider team by defining engagement standards and building playbooks for repeatable cMMM motions. Design and supervise AI workflows to automate heavy-lift tasks, turning best analyses into guardrails. Act as the customer voice to product and engineering, providing structured feedback for the roadmap and supporting case studies and pre-sales.
Required Qualifications
- 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.
Desired Qualifications
- 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.
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