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.
What you'll do
This is a unique opportunity to help us build, scale, and harden the infrastructure that powers everything at Haus — from machine learning pipelines to real-time collaboration and data products. You’ll work closely with our security, platform, and product teams to ensure our infrastructure is performant, resilient, and secure.
We’re looking for a pragmatic engineer who thrives in ambiguity, enjoys working across the stack (infra, tools, systems), and can lead with clarity as we grow. If you love shipping clean infrastructure, automating the boring stuff, and scaling platforms that developers actually enjoy using — this role is for you.
In addition to core infrastructure, you’ll help drive developer productivity by shaping the internal tools, environments, and workflows that accelerate shipping across the org. You’ll remove friction from day-to-day engineering, define golden paths, and help us scale a platform that feels fast, safe, and empowering to use.
$190,000 - $220,000 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.
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.