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About the Role

Build and evolve systems for marketing spend impact analysis, integrating with major ad platforms and delivering causal inference results. This full-stack role involves Python/Flask API, React frontend, and data pipelines, focusing on improving mature codebases and leveraging AI-assisted development tools to accelerate delivery and innovation.

Responsibilities

• Own features end-to-end, from API design and database migrations through React UI and data visualization, to monitoring and on-call support.
• Build and harden integrations with third-party ad platforms (Meta, Google, TikTok), designing for reliability across external APIs.
• Evolve and modernize a production Flask + React application serving hundreds of customers, improving architecture incrementally while shipping continuously.
• Design and build data-rich UIs, including charts, dashboards, and interactive tools for understanding complex experimental results.
• Collaborate with scientists and data engineers to translate statistical outputs into actionable product experiences.
• Use AI development tools daily to accelerate delivery, explore solutions, and enhance shipping capabilities.
• Participate in on-call rotation and ensure the operational health of built systems.
• Review code across the team, setting the bar for quality, clarity, and maintainability.

Requirements

• 5–10+ years of experience building and shipping production web applications and APIs.
• Strong full-stack capabilities: able to build well-structured API endpoints, write database migrations, and implement consuming frontends.
• Proficiency in Python and React, or strong equivalents with willingness to ramp up.
• Experience with Flask, SQLAlchemy, or similar frameworks is a plus.
• Experience working in and improving large, established codebases, navigating legacy systems, making pragmatic tradeoffs, and leaving things better.
• Comfort with cloud-native environments (GCP preferred), understanding deployment, monitoring, and operation of production services.
• Experience with relational databases (MySQL/PostgreSQL) and data-heavy applications.
• Track record of effectively using AI development tools (Claude, Cursor, Copilot, or similar) and articulating their impact on workflow.
• Strong product sense, focusing on customer needs beyond ticket specifications.
• Excellent communication skills to explain technical tradeoffs and collaborate effectively with scientists, product managers, and engineers.
• For Staff level: Demonstrated ability to lead technical direction for a system or product area, making scalable architectural decisions.
• For Staff level: Experience driving cross-team or cross-system initiatives, coordinating changes across multiple services or repositories.
• For Staff level: Track record of mentoring engineers and raising the team's technical bar through code review, design guidance, and leading by example.
• For Staff level: Comfort operating with ambiguity, breaking down loosely defined problems, building plans, and driving completion without heavy oversight.
• Bonus: Earlier stage startup experience.
• Bonus: Experience with ad platform APIs (Meta Marketing API, Google Ads API).
• Bonus: Experience with data visualization or experimentation platforms.
• Bonus: Experience with third-party data integrations and ETL workflows.

Skills

• Python
• React
• Flask
• SQLAlchemy
• Cloud-native environments (GCP)
• Relational databases (MySQL)
• Relational databases (PostgreSQL)
• AI development tools (Claude)
• AI development tools (Cursor)
• AI development tools (Copilot)
• API design
• Database migrations
• Frontend development
• Data visualization
• Experimentation platforms
• ETL workflows
• Meta Marketing API
• Google Ads API
• Full-stack development

Location

• San Francisco
• Seattle
• New York City
• Commuting distance to offices

Work Type

• Full-time
• Onsite

Experience Level

• 5–10+ years of experience
• Staff level

Benefits

• Flexible PTO
• Equity
• Top-tier health, dental, and vision insurance with multiple plan options
• WFH stipend
• Events & Offsites
• Free Lunch when working from the office (SF, NYC, Seattle hub locations)
• New Parent Leave

About the Company

• Haus is an incrementality platform that helps leading brands optimize billions in ad spend worldwide.
• Utilizes frontier causal inference-based econometric models to run experiments and measure the business impact of marketing, pricing, and promotions with scientific precision.
• Helps marketers identify and reallocate wasted ad spend to maximize growth.
• Founded by former product managers, economists, and engineers from Google, Netflix, Meta, and Amazon.
• Makes high-quality decision science, incrementality testing, and causal marketing mix modeling accessible to businesses of all sizes.
• Automates experiment design, data processing, and insights generation.
• Works with leading brands like FanDuel, Sonos, and Dr. Squatch, delivering ROI gains as high as 30x.
• Well-capitalized and backed by top-tier VCs, including Insight Partners, Baseline Ventures, and Haystack.
• Recognized by LinkedIn as a 2025 Top Startup.
• Operates as a high-performance, low-ego team in a fast-moving environment, valuing customer ownership and high growth.
• Works in small, mission-driven teams that prioritize inclusion, collaboration, and growth over hierarchy or red tape.

Equal Opportunity

• Haus is an equal opportunity employer.
• Hiring decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected status.
• Believes diverse perspectives make us stronger and is committed to an inclusive culture where everyone feels seen, heard, and empowered to contribute.