Enterprise Measurement Strategy Lead
Haus
full-time
Posted on:
Location Type: Remote
Location: California • New York • United States
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Salary
💰 $200,000 - $220,000 per year
Job Level
About the role
- 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.
Requirements
- 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.
Benefits
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
ad effectiveness measurementincrementality testingcausal inferencetest designmeasurement methodologiesdata pipelinesQAdata modelingdata analysisexperiment design
Soft Skills
client managementcommunicationstorytellinganalytical rigorownership mindsetproblem-solvingcollaborationcoachingproject managementknowledge-sharing