--- title: 'Measurement Strategy Manager at Haus Analytics' canonical: 'https://feeny.ai/job/measurement-strategy-manager-haus-analytics-new-york-fsajeasf5246' type: 'job' last_seen: '2026-10-18' --- # Measurement Strategy Manager at Haus Analytics - **Company:** Haus Analytics - **Location:** New York, NY / San Francisco, CA / Seattle, WA - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-07-23 - **Last confirmed live:** 2026-10-18 - **Apply:** https://jobs.ashbyhq.com/haus/d7602d8c-e8a5-4b8d-846b-90f22956596d ## Job description ## About Haus 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. What you'll do: As a Measurement Strategy Manager at Haus, you will work hand-in-hand with a portfolio of customers to define and act on their measurement roadmap. You will deeply understand the goals of your customers' businesses, propose testing strategies that align to their goals, and drive your customers to act on the things they learn 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 be expected to contribute in ways that benefit the entire organization. Each member of our team brings a form of expertise that serves to elevate the capabilities of the entire team; we expect everyone to be a bar raiser in some way. Responsibilities will include: - Co-design experimentation roadmaps with customers, weighing their media plan and operating goals to make the best use of their testing slots, pushing them toward the highest-impact test, not just the easiest one. - Shepherd customers through the full experimentation process: design, implementation, interpretation, and action, serving as a trusted partner who simplifies complex concepts into clear, believable recommendations. - Tie learnings to budget and strategy decisions, so testing changes what a customer actually does, not just what they know. - Advise customers on best practices to maximize value and ROI, connecting their business questions to Haus product offerings, and confidently explain the science behind experimentation to dispel distrust and skepticism. - Build strong, long-term relationships with key stakeholders across your customers' organizations. - Partner closely with Product, Science, and Engineering to translate customer requests into scalable product features. - Identify risks or escalations and manage them with a complete ownership mentality, bringing in the right internal resources. - Contribute collateral, resources, playbooks, and workflows that balance quality of service with designing for scale. - Support customer renewals in partnership with Account Managers, and identify qualified cross-sell and expansion opportunities. ## Qualifications - 4+ years as a growth marketer or in a marketing-science role, with real ownership of budget decisions, not just reporting on them, whether from doing the job or partnering closely with it as an agency or platform. - Fluent understanding of paid media buying; comfortable speaking budgets and advanced analytics credibly with a customer's analytics team. - A passion for experimentation, data analysis, and storytelling. - Comfort navigating ambiguity without a clear playbook, leaning on data and org relationships to move forward, spotting the underlying need, and proposing the solution rather than waiting to be told. - Experience in a customer-facing relationship role, collaborating with stakeholders across customer organizations. - A track record thriving in an early-stage or highly ambiguous environment, producing high-quality work at a rapid pace while juggling multiple projects. - Scrappy and resourceful; you unpromptedly fill gaps to keep your customers moving. - Strong written communication and experience presenting to customers and executives. How Haus is Different We're a customer-obsessed, high-ownership team that would rather run an experiment than argue in a meeting. We work in small, lean pods where each person is a bar raiser in some area, and we move fast without waiting for a playbook. We value impact over activity, curiosity over comfort, and small inexact steps over large impeccable leaps. AI is part of how we work. We use it every day to move faster and think more clearly, and we look for people who are curious about new tools and fluent in putting them to work. What we care about is your judgment: AI should sharpen your thinking, not stand in for it. ## What we offer If you're energized by solving dynamic problems, enjoy working in lean, collaborative teams, and thrive in ever-evolving environments, you’ll feel at home here. We invest in exceptional people who want to grow quickly and help shape the future of the company. 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. Haus is an equal opportunity employer. We make hiring decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected status. We believe diverse perspectives make us stronger and are committed to an inclusive culture where everyone feels seen, heard, and empowered to contribute. Bring your authentic self — we would love to hear from you. ## About Haus Analytics ## Company Overview - **One-liner**: Haus Analytics provides an AI-powered causal marketing measurement platform that helps brands measure the true incremental impact of their ad spend through experiments and daily attribution. - **Entity Type**: Private (startup, latest funding round: additional $20M in 2024; total raised $57.15M) - **Headquarters**: San Francisco, California, United States - **Founded**: 2021 - **Founders**: Zach Epstein (CEO) ## Core Business - **Industry**: Marketing analytics / Advertising technology / Decision science - **Target Customers**: B2B – enterprise and growth-stage brands including Intuit, Hims & Hers, Pernod Ricard USA, Coursera, Bally Sports, Caraway, and Sonos - **Mission**: “Democratize access to world-class decision science tools” and transform how businesses make marketing investment decisions. ## Products & Services - **GeoLift**: Self-service incrementality testing platform that runs scientifically sound test/control geo experiments to measure the causal impact of advertising. - **Causal Attribution**: Daily incrementality reporting that de‑biases legacy attribution tools and provides daily insights on the incremental impact of marketing across channels and tactics. - **Haus Copilot**: AI‑powered assistant that designs, optimizes, and analyzes experiments from hypothesis through post‑treatment window. ## Market Standing - **Valuation / Market Cap**: Not publicly disclosed - **Key Metric**: Total funding raised $57.15M (Series unknown, latest $20M closed in mid‑2024) - **Notable Investors & Partners**: 01 Advisors (David Fischer, Dick Costolo, Adam Bain), Insight Partners, DST Global, Gokul Rajaram, Baseline Ventures, Haystack Ventures, Octave, Mantis Venture Capital - **Growth Signals**: - Customers collectively represent over $1 trillion in combined revenue. - Haus has helped optimize more than $30 billion in ad spend. - Runs over 4,000 experiments per year. - One customer (Newton Living) reported a >10x ROI on their annual Haus investment in the first two months. ## Competitive Advantages - Combines rigorous causal inference (econometrics, statistics, AI) with an easy‑to‑use SaaS platform. - Privacy‑durable methodology that works in a cookieless, IDFA‑limited world. - GeoLift and Causal Attribution are patent‑pended or proprietary approaches that few competitors offer at scale. - Team includes former leaders from Google, Netflix, Amazon, and other top tech companies. ## Strategic Focus - Deepen self‑service experimentation and daily causal attribution capabilities. - Expand into adjacent industries beyond advertising (e.g., pricing, product decisions) and broader decision science. - Continue to build AI‑powered Copilot features to reduce the need for dedicated data science teams. ## Why Work Here - **Culture**: “Experiment boldly,” “Done is better than perfect,” “Call it what it is” – values that encourage risk‑taking, candor, and speed. - **Work Model**: Hub‑centered hybrid with offices in San Francisco, New York, and Seattle. Many roles are hybrid or location‑anchored; remote employees get regular team onsites and travel support. - **Notable Perks**: Equity, healthcare (medical, dental, vision), flexible PTO, new parent leave, WFH stipend, free in‑office lunch, brand discounts, events and offsites. - **Engineering & Science Culture**: Built by scientists and engineers; the team applies economics, ML, and data pipeline expertise to solve hard marketing measurement problems. ## Sources 1. [haus.io – Homepage](https://www.haus.io/) 2. [haus.io – About / Leadership](https://www.haus.io/about) 3. [haus.io – Careers](https://www.haus.io/careers) 4. [cbinsights.com – Haus Analytics Profile](https://www.cbinsights.com/company/haus-analytics) 5. [ashbyhq.com – Haus Careers](https://jobs.ashbyhq.com/haus) ## Other roles at Haus Analytics - [Manager, Enterprise Sales](https://feeny.ai/job/manager-enterprise-sales-haus-analytics-new-york-g8cbw8dzhjdr) — New York, NY / San Francisco, CA / Seattle, WA - [Field & Event Marketing Lead](https://feeny.ai/job/field-event-marketing-lead-haus-analytics-remote-m0dmfvqexpqp) - [Director of Demand Generation](https://feeny.ai/job/director-of-demand-generation-haus-analytics-remote-qkzh9vrhyx7s) - [Marketing Measurement Specialist (MMM) - Seattle](https://feeny.ai/job/marketing-measurement-specialist-mmm-seattle-haus-analytics-seattle-c0vhymzry39r) — Seattle, WA - [Marketing Measurement Specialist (MMM) - New York](https://feeny.ai/job/marketing-measurement-specialist-mmm-new-york-haus-analytics-new-york-3h9kmavpw2k0) — New York, NY - [Marketing Measurement Specialist (MMM) - San Francisco](https://feeny.ai/job/marketing-measurement-specialist-mmm-san-francisco-haus-analytics-san-francisco-rcrwsgjby829) — San Francisco, CA - [Future Opportunities at Haus](https://feeny.ai/job/future-opportunities-at-haus-haus-analytics-new-york-fdjsrdwawvw6) — New York, NY / San Francisco, CA / Seattle, WA - [Measurement Strategy Manager](https://feeny.ai/job/measurement-strategy-manager-rtb-house-united-states-3w2g9gpzph0n) — United States