Senior PM, Data Products
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!
About this role
Data is the lifeblood of Haus and powers every application. This Data Product Manager will successfully devise and execute a data strategy for Haus. In the role, this PM will answer questions like:
How can we onboard customer data faster, and with less friction, to Haus?
How might we forge partnerships with retailers and other major data providers to accelerate what data customers can utilize out-of-the-box?
How can we scale our data pipeline as our business grows?
How can we present compelling data insights to our customers that will become critical parts of their workflows?
Responsibilities:
Work with engineering, sales, design, and customer success to develop a data product roadmap
Perform customer discovery to uncover customer needs
Develop systems for tracking performance and measuring success
Develop a data partnerships strategy & forge alliances with data providers
Define processes to improve the operational efficiency of our internal teams
Requirements:
6+ years of experience as a product manager working on a data-heavy application, or equivalent similar experience
Bachelor’s degree in a quantitative discipline such as computer science, economics, engineering, or statistics.
Strong familiarity with data warehouse technologies and APIs
Nice to have:
Experience building data onboarding/ingestion tools or developing a data platform
Experience working with marketing and advertising data
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
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.