Haus
SaaS
SrFullStackEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Sr Full Stack Engineer at Haus. Skills: Full Stack Engineering, Python, React, Cloud-native environments (GCP), Relational Databases, AI development tools. Build and evolve the systems that power how the world’s leading brands understand the true impact of their marketing spend. Build and harden integrations with third-party ad platforms (Meta, Google, TikTok)”
What You'll Achieve.
optimize billions in ad spend worldwide; measure the business impact of marketing, pricing, and promotions with scientific precision; identify which half [of advertising spend] and reallocate it to maximize growth; delivering ROI gains as high as 30x; ship work that compounds in impact over time; raise the ceiling on what you can ship
Industry & Context.
look at a mature codebase, see the path to making it better, and execute without needing to rewrite everything first; pragmatic tradeoffs between refactoring and shipping
on-call rotation, preference to candidates within commuting distance of our offices in San Francisco, Seattle, and New York City
What They're Looking For.
Must Have
5–10+ years of experience building and shipping production web applications and APIs, across the full stack: you can build a well-structured API endpoint, write a database migration, and implement the frontend that consumes it, Proficiency in Python and React (or equivalents with willingness to ramp), Experience working in and improving large, established codebases, Comfort with cloud-native environments (GCP preferred), Experience with relational databases (MySQL/PostgreSQL) and data-heavy applications, Track record of working effectively with AI development tools (Claude, Cursor, Copilot, or similar), product sense: you think about what customers need, not just what the ticket says, Excellent communication skills
Nice to Have
experience with Flask, SQLAlchemy, or similar frameworks is a plus, Earlier stage startup experience, Experience with ad platform APIs (Meta Marketing API, Google Ads API), Experience with data visualization or experimentation platforms, Experience with third-party data integrations and ETL workflows
What You'll Do.
Build and evolve the systems that power how the world’s leading brands understand the true impact of their marketing spend
Build and harden integrations with third-party ad platforms (Meta
Evolve and modernize a production Flask + React application
Design and build data-rich UIs: charts
and interactive tools
Use AI development tools as part of your daily workflow
Participate in on-call rotation and own the operational health of the systems you build
Review code across the team
How You'll Work.
Team & Collaboration
Collaborate closely with scientists and data engineers; Review code across the team; work effectively with scientists, product managers, and other engineers
Communication Scope
Excellent communication skills — you can explain technical tradeoffs clearly and work effectively with scientists, product managers, and other engineers
Process & Methodology
Own features end-to-end, design for reliability across APIs you don’t control, improve architecture incrementally while shipping continuously, translate statistical outputs into product experiences customers can act on, accelerate delivery, explore solutions, and raise the ceiling on what you can ship, take a loosely defined problem, break it down, build the plan, and drive it to completion without heavy oversight
Full Job Description
About Haus Haus is the incrementality platform leading brands trust to optimize billions in ad spend worldwide. Using frontier causal inference-based econometric models to run experiments, we help brands measure the business impact of marketing, pricing, and promotions with scientific precision. Over $360B is spent annually on paid advertising in the US alone, and the famous quote “half the money I spend on advertising is wasted; the trouble is I don't know which half” still rings true. Haus helps marketers identify which half, and reallocate it to maximize growth. With a founding team of former product managers, economists, and engineers from Google, Netflix, Meta, and Amazon, we make high-quality decision science, incrementality testing, and causal marketing mix modeling accessible to businesses of all sizes—automating the heavy lifting of experiment design, data processing, and insights generation. Haus works with leading brands like FanDuel, Sonos, and Dr. Squatch, delivering ROI gains as high as 30x. Haus is well-capitalized and backed by top-tier VCs, including Insight Partners, Baseline Ventures, Haystack, and others. We're honored that Haus has once again been recognized by LinkedIn as a 2025 Top Startup https://www.linkedin.com/pulse/linkedin-top-startups-2025-50-us-companies-rise-linkedin-news-hox6f/! The Role You’ll build and evolve the systems that power how the world’s leading brands understand the true impact of their marketing spend. Our platform runs geo-based experiments, integrates with major ad platforms (Meta, Google, TikTok), and delivers causal inference results that directly drive budget decisions worth millions of dollars. This is a full stack role where you’ll work across a Python/Flask API, a React frontend, and the data pipelines and integrations that connect them. You'll hit the ground running on a production system with real customers, shipping work that compounds in impact over time. The engineers who thrive here are the ones who can lo
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