Enterprise Measurement Strategy Lead

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!

As a Measurement Strategy Lead — Enterprise, you will directly engage a portfolio of large enterprise customers to define and act on their measurement roadmap. You will deeply understand customer business goals, propose testing strategies that align with those goals, and drive action on the insights they gain through Haus. You will serve as an evangelist for incrementality measurement and help your customers make critical business decisions based on Haus reporting.

As a member of a small and rapidly growing team, you will also contribute in ways that benefit the entire organization. Each member of our team brings an area of expertise that elevates the whole.

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• Background in growth marketing, paid media buying, or brand-side marketing strategy; exposure helps but is not required.

• Knowledge of how MMM and/or MTA model calibration works, where model distrust typically comes from, and how incrementality testing fits within a client's broader measurement stack.

• Experience within early-stage companies or high-growth SaaS.

• Familiarity with enterprise data stacks and marketing measurement tools.

• You obsess over customer impact and long-term relationships.

• You collaborate deeply with technical partners, especially data science.

• You hold a high bar for experimental rigor and interpretability.

• You operate with speed, clarity, and ownership — and you raise the bar for the team.