Marketing Measurement Specialist (MMM)

Marketing Measurement Specialist (MMM) About Haus Haus is the incrementality platform leading brands trust to optimize billions in ad spend worldwide. Using frontier causal inference-based econometric models to run experiments, we help brands measure the business impact of marketing, pricing, and promotions with scientific precision. Over $360B is spent annually on paid advertising in the US alone, and the famous quote “half the money I spend on advertising is wasted; the trouble is I don't know which half” still rings true. Haus helps marketers identify which half, and reallocate it to maximize growth. With a founding team of former product managers, economists, and engineers from Google, Netflix, Meta, and Amazon, we make high-quality decision science, incrementality testing, and causal marketing mix modeling accessible to businesses of all sizes—automating the heavy lifting of experiment design, data processing, and insights generation. Haus works with leading brands like FanDuel, Sonos, and Dr. Squatch, delivering ROI gains as high as 30x. Haus is well-capitalized and backed by top-tier VCs, including Insight Partners, Baseline Ventures, Haystack, and others. We're honored that Haus has once again been recognized by LinkedIn as a 2025 Top Startup https://www.linkedin.com/pulse/linkedin-top-startups-2025-50-us-companies-rise-linkedin-news-hox6f/! The Opportunity: For years, advertisers have lived through the challenges of traditional MMMs: the slow, opaque, and correlational models that are tough to bet on. That's why we're building Causal MMM https://www.haus.io/blog/a-first-look-at-causal-mmm, the MMM we've forever wished we had. Grounded in incrementality as THE source of truth, and engineered to be served at scale to hundreds of brands. This is your opportunity to be at the forefront of bringing it to advertisers. What you'll do As the second MMM Specialist at Haus, you will play a crucial, hands-on role supporting our emerging Marketing Mix Modeling product and ensuring the success of our early customers. You will be responsible for the end-to-end customer journey, assisting with everything from data onboarding to model interpretation and action planning. Working directly with our scientists and product teams, you will act as a key voice of the customer, helping to drive our product roadmap and deliver an exceptional experience. This is a fantastic opportunity to apply your MMM expertise in a fast-paced startup environment, with a significant long-term opportunity to grow with us as we expand our measurement platform offerings. Please note, while this role is remote-friendly, we do have offices in NYC, San Francisco, and Seattle that offer a hybrid working option. Roles & Responsibilities - Initially lead multiple customer engagements end-to-end, from data onboarding to model interpretation, supporting clients to use our app, preparation of client-facing materials and action planning (i.e. translating cMMM results to planning improvements) - Build the processes, playbooks, and workflows that will eventually enable Haus' Measurement Strategy Team to take over as MMM customers' primary point of contact and serve our customers with a truly integrated suite of growth intelligence products - Manage complex data onboarding from intake to validation, working closely with customers and internal teams to ensure all datasets—no matter how messy—are thoroughly vetted and formatted for seamless ingestion into the Haus model, proactively troubleshooting and resolving anomalies as they arise - Support model iterations: Assist in gathering customer requirements and feedback to support the MMM model design and iteration process, liaising with the Haus data science team - Explain technical concepts like multicollinearity, uncertainty, and causality to customers to help drive value through understanding MMM features and limitations - Fuel the flywheel of insights between our incrementality testing solution and Haus' MMM; a ... (truncated, view full listing at source)