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Senior Product Manager, ML & Analytics Platform 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) $180,000 - $210,000 a year 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. 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. Skills #J-18808-Ljbffr