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Haus is a causal marketing platform that helps leading brands optimize billions in ad spend using AI-driven technology and causal measurement. The company works with major customers like Dyson, Wayfair, Sonos, FanDuel, SharkNinja, and Intuit.
You will architect and build Architect, a new product that translates marketing measurement insights into actionable budget recommendations. This is a full-stack role with a backend lean, where you'll own the entire product lifecycle from Python services that generate recommendations to React interfaces where customers review and approve them.
Key responsibilities:
- Design and ship backend services in Python that convert model outputs into recommendations with built-in correctness and observability
- Build React frontends enabling customers to review, edit, and approve recommendations
- Integrate Architect with the broader Haus platform, defining API contracts and handling failure modes gracefully
- Collaborate directly with product, science, and design teams on what to build, not just implementation
- Raise code quality standards through testing, monitoring, and refactoring
- Use AI coding tools (Claude, Cursor, Copilot) as part of your workflow while maintaining clear verification practices
You'll work in a high-performance, low-ego team that values ownership, ambiguity tolerance, and peer collaboration. The environment is fast-moving and customer-focused, with small mission-driven teams prioritizing inclusion and growth over hierarchy.
Qualifications:
- 5+ years building and shipping production web applications and APIs
- Strong Python backend engineering skills; day-to-day work centers on services and integrations
- Working proficiency with React; able to build frontend features independently
- Comfortable in ambiguous, product-facing roles; can translate half-formed requests into scoped plans
- Experience with relational databases (MySQL/PostgreSQL) and data-heavy applications
- Comfort with cloud-native environments (GCP preferred); understand deployment, monitoring, and production operations
- Track record using AI development tools effectively with clear verification practices
- Excellent communication skills; can explain technical tradeoffs and work effectively with scientists, PMs, and engineers
Bonus qualifications:
- Experience with ad platform APIs (Meta Marketing API, Google Ads API) or experimentation platforms
- Shipped optimization or recommendation systems
- Earlier-stage startup experience
- Familiarity with Flask, SQLAlchemy, FastAPI, or similar frameworks
