Description:

Haus is a decision science platform focused on the new digital privacy paradigm where data sharing and PII is restricted.
The platform utilizes causal inference based econometric models to run experiments that help brands understand the impact of their marketing, pricing, and promotions on their bottom line.
The team consists of former product managers, economists, and engineers from notable companies like Google, Netflix, Amazon, and Meta.
The mission is to make high-quality decision science tooling and incrementality testing accessible to all businesses.
The role is a backend position aimed at developing the Science Platform to automate and enhance the core Geolift product.
Responsibilities include driving initiatives from concept to final product delivery, building data systems, identifying and implementing internal process improvements, contributing as a thought leader, participating in an on-call rotation, and owning features end-to-end.

Requirements:

Candidates must have 7+ years of experience building scalable systems and APIs.
Proficiency in at least one OOP language such as Python, TypeScript, Scala, Golang, or Java is required.
Comfort with working in a legacy codebase is necessary.
Experience in a cloud environment and with relational databases like SQL is essential.
Experience as a tech lead is a plus.
Excellent written and verbal communication skills are required.
An interest in developing a world-class product is expected.
Experience with data integrations with third-party sources is necessary.

The position offers a competitive salary and startup equity.
Employees receive top-of-the-line health, dental, and vision insurance.
A 401k plan is provided.
The company supplies the necessary tools and resources for productivity, including a new laptop and equipment.
Employees will be part of a small team that has a significant impact on the overall output.