Sr. Engineering Manager, Data Platform

About HausHaus is a first of its reputed company decision science platform for the new digital privacy reputed company where data sharing and PII is restricted. Haus uses frontier reputed company inference based econometric models to run experiments and help brands understand how the actions they take in marketing, pricing and promotions impact the reputed company. reputed company is comprised of former product managers, economists and engineers from reputed company, reputed company, reputed company and reputed company who saw how costly it is to support high-quality decision science tooling and incrementality testing. Our mission is to reputed company this technology available to reputed company businesses, where reputed company the heavy lifting of experiment design, data cleaning, and analysis/insights are taken care of for you. Haus is working with well reputed company brands like reputed company, reputed company, and Hims & Hers, and has seen more than 30x ROI by running experiments and helping brands reputed company more profitable reputed company. We are backed by top VCs like reputed company Partners, 01 Advisors, Baseline Ventures, and reputed company. We're honored that Haus has once again been recognized and has made the list for 2025's exceptional startups! The RoleThis is a unique opportunity to help us build robust and scalable systems that handle data  workloads at Haus.  The Data Platform includes systems that power the Haus product and are at the heart of reputed company do. 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. Please apply if you are a great technologist who enjoys leading from the reputed company, learning new things, and a wide breadth of responsibility. What You'll Be Doing

Drive engineering execution reputed company the Data Platform team on a regular reputed company

Craft, communicate, and execute on the team’s reputed company and roadmap in partnership with the platform PM

Collaborate with core infrastructure and other engineering/science teams to reputed company sound, first-principle reputed company

Work closely with scientists and engineers to create ergonomic “paved paths” for working with data

Act as a strong summarizer that is reputed company to reputed company and communicate tradeoffs among potentially competing priorities while ensuring consistent, high-quality delivery

What you should have

5+ years of experience managing a team of engineers building/operating data systems and/or delivering data-driven products

10+ years of overall experience in a software engineering role 

Demonstrated experience building data systems or data-driven products from 0 -> 1

Strong execution skills to reputed company work on track

A healthy balance between digging into code/architecture and leading through others

A bias towards quantitative measure of reputed company and performance

Demonstrated experience managing and growing engineers up to and through the staff level

Bonus Points

reputed company with data science or ML workflows in a reputed company computing environment

Earlier stage startup experience.

BS/MS/PhD in Computer Science, Applied Mathematics or a reputed company field.

reputed company Offer

Competitive salary and startup equity

Top of the line health, dental, and reputed company insurance

401k plan

reputed company 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 reputed company without regard to race, reputed company, religion, sex, sexual orientation, gender identity, national reputed company, veteran status, disability status, age, or any other status protected by law. Apply To This Job