Enterprise Measurement Strategy Lead
Haus Analytics • Remote
Posted: June 2, 2025
Job Description
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!
What you’ll do
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.
Responsibilities
Own enterprise client relationships end to end, serving as the primary point of contact for senior stakeholders, including growth leaders, analytics leaders, and data science teams; ensure satisfaction, retention, and expansion across your portfolio.
Partner closely with client data scientists as day-to-day counterparts, aligning on experiment design, data pipelines/requirements, and interpretation standards to accelerate time-to-insight and decision-making.
Co-design experimentation roadmaps with customers that reflect their media strategy, operating goals, and test capacity; guide them toward continuous experimentation programs.
Shepherd the full experimentation lifecycle — from hypothesis and design to implementation, QA, readout, and action planning — translating technical findings into clear, executive-ready recommendations.
Advise on measurement methodologies, best practices, and trade-offs — including MMM calibration and cross-system alignment — helping customers connect business questions with Haus product capabilities within their broader measurement stack.
Identify risks early and manage escalations with full ownership, while orchestrating the right internal Haus resources to drive resolution.
Systematize excellence by creating collateral, playbooks, and workflows that balance quality with scale; contribute to team knowledge-sharing and coaching.
Qualifications
Must-haves
5–8+ years of direct enterprise client management experience in analytics, measurement, or adjacent SaaS/services, with a proven track record influencing senior stakeholders and navigating complex organizations.
Deep experience with ad effectiveness measurement products and methodology, ideally including incrementality testing and causal inference-driven approaches (but not required); you can speak fluently about test design, assumptions, and limitations.
Familiarity with MMM and MTA frameworks — with knowledge of the support structure required to maintain a program involving these tools for an advertiser.
Hands-on experience partnering with client-side data scientists as primary counterparts, including aligning on data specs, QA, modeling/measurement nuances, and result interpretation, knowing you have a full infrastructure behind you at Haus to empower and enable you.
Exceptional analytical rigor and passion for data details — you sweat the assumptions, edge cases, and QA steps, and you love turning messy data into clear, defensible insights.
Outstanding communication and storytelling skills, especially simplifying complex experimental results and trade-offs into actionable recommendations for executives.
Proven ownership mindset in ambiguous, fast-moving environments, with the ability to juggle multiple projects and still deliver at a high bar.
Nice to haves
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.
How you’ll succeed here
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.
What we offer
We’re a customer-obsessed, high-ownership team focused on driving impact and learning fast. Our environment rewards curiosity, adaptability, and a bias toward action — especially when it helps us better serve our customers.
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 are remote-friendly however candidates based in commutable distance (50 mi?) to SF, Seattle and NYC will be prioritized as we value frequent in-person collaboration opportunities at Haus.
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.
Additional Content
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!
What you’ll do
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.
Responsibilities
Own enterprise client relationships end to end, serving as the primary point of contact for senior stakeholders, including growth leaders, analytics leaders, and data science teams; ensure satisfaction, retention, and expansion across your portfolio.
Partner closely with client data scientists as day-to-day counterparts, aligning on experiment design, data pipelines/requirements, and interpretation standards to accelerate time-to-insight and decision-making.
Co-design experimentation roadmaps with customers that reflect their media strategy, operating goals, and test capacity; guide them toward continuous experimentation programs.
Shepherd the full experimentation lifecycle — from hypothesis and design to implementation, QA, readout, and action planning — translating technical findings into clear, executive-ready recommendations.
Advise on measurement methodologies, best practices, and trade-offs — including MMM calibration and cross-system alignment — helping customers connect business questions with Haus product capabilities within their broader measurement stack.
Identify risks early and manage escalations with full ownership, while orchestrating the right internal Haus resources to drive resolution.
Systematize excellence by creating collateral, playbooks, and workflows that balance quality with scale; contribute to team knowledge-sharing and coaching.
Qualifications
Must-haves
5–8+ years of direct enterprise client management experience in analytics, measurement, or adjacent SaaS/services, with a proven track record influencing senior stakeholders and navigating complex organizations.
Deep experience with ad effectiveness measurement products and methodology, ideally including incrementality testing and causal inference-driven approaches (but not required); you can speak fluently about test design, assumptions, and limitations.
Familiarity with MMM and MTA frameworks — with knowledge of the support structure required to maintain a program involving these tools for an advertiser.
Hands-on experience partnering with client-side data scientists as primary counterparts, including aligning on data specs, QA, modeling/measurement nuances, and result interpretation, knowing you have a full infrastructure behind you at Haus to empower and enable you.
Exceptional analytical rigor and passion for data details — you sweat the assumptions, edge cases, and QA steps, and you love turning messy data into clear, defensible insights.
Outstanding communication and storytelling skills, especially simplifying complex experimental results and trade-offs into actionable recommendations for executives.
Proven ownership mindset in ambiguous, fast-moving environments, with the ability to juggle multiple projects and still deliver at a high bar.
Nice to haves
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.
How you’ll succeed here
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.
What we offer
We’re a customer-obsessed, high-ownership team focused on driving impact and learning fast. Our environment rewards curiosity, adaptability, and a bias toward action — especially when it helps us better serve our customers.
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 are remote-friendly however candidates based in commutable distance (50 mi?) to SF, Seattle and NYC will be prioritized as we value frequent in-person collaboration opportunities at Haus.
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.