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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!
What you'll do
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 somebody who loves working with data, is a great software engineer, and an excellent communicator. You will design, scale, and maintain the systems that support the Haus platform and enable data-driven decision-making at Haus.
Responsibilities
- Build data solutions on top of Google Cloud Platform using Python and other languages as appropriate.
- Contribute to the technical direction and development of Haus’ data infrastructure, tools, and applications.
- Create and maintain data pipelines and foundational datasets to support analytics, modeling, experimentation, and product/business needs.
- Work closely with science, machine learning, and engineering teams to support the development of new data pipelines.
- Develop and support data quality checks at scale, implementing alerting and anomaly detection as necessary
- Create scalable dashboards and reports to support business objectives and enable data-driven decision making
- Partner with data scientists, engineers, and product teams to accomplish all of the above!
Qualifications
- 4-7+ years of experience as a Software Engineer.
- Experience building and deploying products that rely on large-scale distributed systems in Python or Go, Scala/Java, or other similar languages: it makes you uncomfortable deploying something for end-users without thinking about things like performance metrics, monitors and dashboards, graceful degradation and feature flags.
- Third party integrations - API are your bread and butter.
- Experience with cloud infrastructure (Google Cloud, AWS, etc).
- Experience working with SQL databases.
Bonus points
- Earlier stage startup experience.
- Experience with build systems and infrastructure management tooling like Terraform.
- Experience with data warehouses: Snowflake, BigQuery, RedShift.
- 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.
Haus.io Mountain View, California, USA Office
Mountain View, CA, United States, 94043
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
