Product Manager, Experiments

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 been recognized as one of 2024'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 improve our existing GeoLift product, as well as explore new experimentation-based measurement products for advertisers.

This PM will answer questions like:

- How might we encourage customers to run more experiments? 

- How do we frame complex statistical concepts to nontechnical customers?

- How can we reduce the opportunity cost of running experiments? 

- What could make the results of experiments more actionable and insightful? 

- What additional experimentation products do we need to build for new advertising use cases?

- How do we ensure that our experimentation product is ready for international expansion?

Responsibilities:

• Work with data science, engineering, sales, design, and customer success to develop a product roadmap
• Execute & drive feature development
• Develop an analytics strategy & track progress against key metrics
• Perform customer discovery to uncover customer needs

Qualifications

• 4-6 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 computer science, math, information technology, economics, statistics, finance, or a related field
• Excellent communication skills and ability to translate customer problems into technical requirements

About You

• Must have:
• Extremely quantitative
• Exceptionally curious
• Nice to have:
• Passion for causal inference or experimentation
• Experience in the advertising space
• Experience designing data visualization products

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)
• Small team with big impact on the overall output

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.