Staff Software Engineer — AI-Driven Experimentation Platform

United States Digital Space LLC; San Francisco (CA); On-site; USD 248,000 - 279,000; Full time

Job summary

United States Digital Space LLC seeks a Staff Software Engineer to lead a next‑gen experimentation platform and AI‑assisted workflows. You will mentor engineers, shape data pipelines, and empower internal teams with scalable tools used by millions of users daily.

Ideal candidates have 7+ years as a full‑stack SWE, strong Python/SQL, and a track record delivering complex projects with privacy and security in mind. Cloud experience and cross‑functional collaboration are a plus.

Qualifications

• 7+ years of experience as a full-stack SWE.
• Built internal tools with A/B testing and statistics.
• Experience in experimentation tooling and scalable platforms.
• Led complex technical projects to successful shipping.
• Strong data governance, privacy, and security practices.
• Proficient in Python and SQL; TypeScript or Rust is a plus.
• Experience with relational, NoSQL, and data warehouses.
• Strong product sense and cross-functional collaboration.
• Track record of developing engineers and adopting new techniques.

Responsibilities

• Design, build, and support the next-gen experimentation platform.
• Collaborate with stakeholders across the company.
• Influence telemetry to support experimentation needs.
• Develop high-scale data systems and delightful UX for millions of users.
• Deliver business results by experimenting on features and ML models.

Skills

Python

SQL

Leadership

A/B testing

Experimentation platforms

Data governance

Communication

Cloud platforms

Tools

Google Cloud Platform

AWS

BigQuery / data warehouse

Job description

United States Digital Space LLC seeks a Staff Software Engineer to lead a next‑gen experimentation platform and AI‑assisted workflows. You will mentor engineers, shape data pipelines, and empower internal teams with scalable tools used by millions of users daily.

Ideal candidates have 7+ years as a full‑stack SWE, strong Python/SQL, and a track record delivering complex projects with privacy and security in mind. Cloud experience and cross‑functional collaboration are a plus.