Haus
Los Alamitos, CA
51-200 employees
Measure incrementality and allocate budget efficiently with Haus - your marketing science & experimentation platform to maximize growth.
Other Open Roles
Prior Listings
Product Manager, Analytics & Insights
Product Manager, Analytics & Insights
This job is no longer open
Background
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.
About this role
In this role, we’re looking for a product manager to partner with marketers around building products that help measure ad effectiveness. As a Product Manager, you will own and drive the vision for a core product line centered around experiments and insights derived from them. You'll engage directly with customers and translate their needs with our team of PhD data scientists, and engineers to provide actionable recommendations for our customers.
This PM will answer questions like:
How can we translate our customers’ needs into actionable recommendations?
What types of interfaces should we design to help our customers understand our results?
How might we integrate experiment insights into key customer workflows?
Responsibilities
- Work with data science, engineering, sales, design, product marketing and customer success to develop a product roadmap
- Build products which leverage cutting-edge econometric modeling
- Perform customer discovery to uncover customer needs
- 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
Qualifications
- 5-7 years experience in Product Management or a role which requires similar skills.
- Bachelor’s degree in computer science, math, information technology, economics, statistics, finance, or a related field.
- Excellent communication skills and ability to translate customer problems into technical requirements
Nice to Have
- Experience building tools to analyze marketing and advertising data.
- Experience buying ads across Search, Social, or TV platforms.
- Understanding of experimentation best practices and pitfalls.
- Understanding of advertising / marketing measurement concepts (ie: media buying, attribution, incrementality, cookie deprecation, etc...).
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.
This job is no longer open