Fullstack Software Engineer, Applications [Senior / Staff]

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, Baseline Ventures, and Haystack.

We're honored that Haus has been recognized as one of 2024's exceptional startups!

The Role

This role is centered on leading our newly launched Casual Attribution product which is hub for reporting on customer spend and efficiency across their platforms. The focus for this squad is to enhance this experience with new features and supporting additional data types for the dashboard to meet our customers needs. This product area is data heavy so comfort in working with data workloads and customer data of different shapes is required!

Responsibilities

• Build and maintain effective APIs to support our customer’s insights.
• Build and maintain delightful user experiences on those APIs
• Identify, design, and implement internal process improvements using a variety of tools
• You will help build a growing engineering organization as an early leader
• Participate in an on-call rotation
• Build and tweak monitoring tools to understand feature viability in the wild
• Own the features you build end to end

Qualifications

• This role is data heavy: comfort in data workloads and customer data of different shapes is required!
• 5+ years experience building APIs & web applications (Backend Engineer, Frontend engineer, or similar)
• Proficient in React, and statement management tools
• Proficient in at least one OOP language: Python, TS, Scala, Golang, Java
• You care deeply about well designed & well documented APIs
• You care about mentorship of more junior teammates and growing together with your team
• Experience working in a cloud environment
• Experience with relational databases like SQL
• Experience as a tech lead
• Excellent written and verbal communication skills
• Interest in developing a world class product

Bonus Points

• Earlier stage startup experience.
• Experience with Flask or other python web frameworks
• Experience with React-Query, XState for frontend state management
• Experience with data integrations with third party sources

What We Offer

• Competitive salary and early 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

Diversity in Qualifications

At Haus, we recognize that talent and expertise come from diverse experiences. We value a broad spectrum of backgrounds and are open to candidates who bring equivalent experience, even if it doesn't align perfectly with every listed technical requirement. If you're passionate about making a difference and have a unique set of skills or experiences, we encourage you to apply and share your unique journey with us.

Remote Friendly, Hybrid Compatible

The location is listed as Mountain View, CA for compliance reasons, but we're remote friendly with hubs in the SF Bay Area, Greater Seattle, and NYC with optional weekly in-person days at a hub's local Wework.

Company Values

The point of our values is to help our team make difficult choices.

Aim high: We choose lofty goals that might fail over safe goals that always succeed.

Block the puck: We prioritize our team’s success over our own individual comfort.

Communicate directly: We all give feedback to each other, not just managers to reports.

Done is better than perfect: We take small inexact steps rather than large impeccable leaps.

Experiment: We try new ideas rather than repeating known formulas.

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.