Haus.io
Sr. Engineering Manager, Data Platform
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About Haus
Haus is a first of its kind decision science platform for the new digital privacy paradigm where data sharing and PII is restricted. 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. Our team is comprised of former product managers, economists and engineers from Google, Netflix, Amazon and Meta who saw how costly it is to support high-quality decision science tooling and incrementality testing. 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. 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. We are backed by top VCs like Insight Partners, 01 Advisors, Baseline Ventures, and Haystack.
We're honored that Haus has once again been recognized and has made the list for 2025's exceptional startups!
The Role
This 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 what we 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 front, learning new things, and a wide breadth of responsibility.
What You'll Be Doing
- Drive engineering execution within the Data Platform team on a regular basis
- Craft, communicate, and execute on the team’s vision and roadmap in partnership with the platform PM
- Collaborate with core infrastructure and other engineering/science teams to make sound, first-principle decisions
- Work closely with scientists and engineers to create ergonomic “paved paths” for working with data
- Act as a strong summarizer that is able to articulate 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 keep work on track
- A healthy balance between digging into code/architecture and leading through others
- A bias towards quantitative measure of progress and performance
- Demonstrated experience managing and growing engineers up to and through the staff level
Bonus Points
- Experienced with data science or ML workflows in a cloud computing environment
- Earlier stage startup experience.
- BS/MS/PhD in Computer Science, Applied Mathematics or a related field.
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.
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
