Offer summary

Qualifications:

5-7 years of experience in Product Management or a quantitative role such as data analyst or data scientist., Bachelor’s degree in a quantitative field like computer science, math, or economics., Excellent communication skills to translate customer problems into technical requirements., Experience in marketing science or advertising is a plus..

Key responsabilities:

Triangulate needs across teams to develop a platform roadmap.

Execute and drive feature development for the product.

Perform customer discovery to uncover customer needs.

Develop novel analytical and machine learning solutions for advertising effectiveness.

Job description

About Haus

Haus is a marketing science platform that helps brands measure and maximize the business impact of their marketing spend with scientific precision. Over $360B 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 re-allocate it to maximize growth.

Haus was built by a team of former product managers, economists, and engineers from Google, Netflix, Meta, and others to make high-quality decision science accessible to businesses of all sizes. By automating the heavy lifting of experiment design, data processing, and insights generation, we empower our customers to make more profitable, data-driven decisions. We hear our customers frequently rave about our product, for example "we've seen north of 10x ROI on our annual investment in Haus in the first 2 months alone.”

Haus is on a hypergrowth trajectory, 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 and has made the list for 2025's exceptional startups!

What You'll Do

For decades, brands have relied on traditional marketing measurement approaches based on clicks, impressions, and correlative metrics. While easy-to-use, these approaches have misled marketers about the true ROI of their advertising campaigns.

Haus is different. We’re leading the revolution to bring experimentation to the world of advertising, ensuring that marketers can understand the true, causal impact of advertising.

This Product Manager will develop novel analytical and machine learning solutions to estimate the effectiveness of advertising campaigns.

This PM will answer questions like:

- How do we create an effective genome of all forms of advertising?

- How might we develop feature tables which can be leveraged across multiple algorithms?

- How do we generate insights automatically and push them to our customers?

Responsibilities:

Triangulate needs across teams to develop a platform roadmap

Execute & drive feature development

Perform customer discovery to uncover customer needs

Qualifications: Must Have...

5-7 years experience in Product Management, or in a quantitative role (e.g. data analyst, data scientist, quant) which requires similar skills.

Bachelor’s degree in a quantitative field such as computer science, math, information technology, economics, statistics, finance, etc.

Excellent communication skills and ability to translate customer problems into technical requirements

Qualifications: Nice to have...

Master’s degree in a quantitative field

Experience in marketing science or advertising

Previous experience as a builder on ML infrastructure

Experience working with content understanding

About You

You are incredibly scrappy and use resources creatively to get stuff done

You deeply understand machine learning and don’t shy away from technical discussions

You are exceptionally curious

You love diving deep into complex data

You can work autonomously with limited guidance

What We Offer

Competitive salary and startup equity

Top of the line health, dental, and vision insurance

401k plan

Provide you with the tools and resources you need to be productive (new laptop, equipment, you name it)

We have hubs in New York City, Seattle, and the San Francisco Bay Area. While fully-remote work from US timezones is possible, we prefer candidates who are open to hybrid work from one of our hubs.

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.

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