Product Manager

San Francisco, CA
Product /
Full-time /
About Haus
Haus is a first of its kind decision science platform for the new digital privacy paradigm where data sharing and PII is restricted. Haus uses frontier causal inference based econometric models to run experiments and help brands understand how the actions they take in marketing, pricing and promotions impact the bottom line. Our team is comprised of former product managers, economists and engineers from Google, Netflix, Amazon and Meta who saw how costly it is to support high-quality decision science tooling and incrementality testing. Our mission is to make this technology available to all businesses, where all the heavy lifting of experiment design, data cleaning, and analysis/insights are taken care of for you. Haus is working with well known brands like FanDuel, Sonos, and Hims & Hers, and has seen more than 30x ROI by running experiments and helping brands make more profitable decisions. We are backed by top VCs like Insight Partners, Baseline Ventures, and Haystack.

What you'll do
Product Managers at Haus work cross-functionally to solve problems with a "can-do" attitude. As an early member of our Product Management team at Haus, you will work across business and technical teams to understand, and create value for our customers while helping establish the function from the ground up. 

We have multiple product areas across experimentation, data science, and reporting. Candidates applying to this role will lead end-to-end product development for areas based on background and fit, which will be assessed during the interview process.

As a Product Manager, you will answer questions like:

    • How can we become critical parts of customer workflows?
    • What are the biggest opportunities we should tackle?
    • How do we de-risk a big bet into iterative releases?

Roles and responsibilities include:

    • Work with data science, engineering, sales, design, and customer success to develop a product roadmap
    • Perform customer discovery to uncover customer needs, and generate vision for new solutions
    • Develop systems for tracking performance and measuring success
    • Become an expert in the  marketing & advertising analytics ecosystem and find verticals where Haus is uniquely positioned to deliver valuable tools


    • BS in computer science, math, economics, statistics, or finance.
    • Minimum 3+ years experience in Product Management, preferably with a focus on data-related products or features.
    • Strong relationship building skills; experience managing stakeholders and cross-functional partners
    • Ability to communicate effectively with different functional groups: engineers, scientists, stakeholders, and senior business leaders
    • Track record of delivering results in a fast-moving environment

Nice to have:

    • Experience using advertising platforms or building advertising products
    • Experience leveraging Data Science or Statistics to real world work
    • Familiarity with SQL and BI tools

About you:

    • Done is better than perfect - you take small flawed steps rather than large precise leaps toward solutions.
    • Act like an owner - you share responsibility with the team and do what you can to achieve success. You thrive in ambiguity and find ways to structure unstructured problems.
    • Experiment - you try new ideas rather than repeat known formulas.
    • Super organizer - You are methodical. You like to create plans and see them through execution. 
$150,000 - $200,000 a year
The salary range for this position is expected to be $150,000 - $200,000. Salary ranges are determined by role and level, and within the range individual pay is determined by additional factors including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in this job posting reflect the base salary only, and do not include equity or benefits.
Haus is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.