Senior Engineering Manager - Data Platform

5 days ago

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Haus

Haus is a marketing science platform that helps businesses measure the incrementality of their advertising efforts, both online and offline. It provides tools like GeoLift and Causal Attribution to optimize marketing campaigns and investments. Haus enables businesses to conduct experiments to evaluate the impact of their advertising spend, offering insights that drive smarter marketing decisions. By employing advanced econometric models, Haus helps companies accurately assess their marketing's incremental value, ultimately leading to better investment strategies and higher returns.

11 - 50 employees

โ˜๏ธ SaaS

๐Ÿ’ฐ $4M Venture Round on 2022-06

๐Ÿ“‹ Description

โ€ข Haus is a first of its kind decision science platform for the new digital privacy paradigm where data sharing and PII is restricted. โ€ข 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. โ€ข 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. โ€ข 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. โ€ข The ideal candidate is an accomplished engineering leader and an excellent communicator, who has deep experience with scalable distributed systems, and is well-versed with data systems/workflows.

๐ŸŽฏ Requirements

โ€ข 5+ years of experience managing a team of engineers building/operating data systems and/or delivering data-driven products โ€ข 10+ years of overall experience in a software engineering role โ€ข Demonstrated experience building data systems or data-driven products from 0 -> 1 โ€ข Strong execution skills to keep work on track โ€ข A healthy balance between digging into code/architecture and leading through others โ€ข A bias towards quantitative measure of progress and performance โ€ข Demonstrated experience managing and growing engineers up to and through the staff level

๐Ÿ–๏ธ Benefits

โ€ข Competitive salary and startup equity โ€ข Top of the line health, dental, and vision insurance โ€ข 401k plan โ€ข Provide you with the tools and resources you need to be productive (new laptop, equipment, you name it) โ€ข Small team with big impact on the overall output

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