Staff Engineer - Experimentation Platform & Data Stack

The Briefed; San Francisco (CA); Hybrid; USD 231,000 - 318,000; Full time

Benefits offered by this job

Compensation & Equity

Time Off & Workplace Flexibility

Family & Parental Support

Health & Mental Wellbeing

Stipends & Retirement

Job summary

Faire is seeking a Staff Software Engineer specializing in Experimentation Infrastructure to own the long-term technology roadmap for its centralized experimentation platform. You will bridge hands-on software development with cross-organizational leadership within the Platform Group, shaping the end-to-end lifecycle of experiments powered by Eppo and integrated into Faire's Snowflake/Databricks stack.

You will partner with Product Engineering, Data Science, Strategy & Analytics, and Product

Qualifications

• Extensive software engineering background focused on experimentation platforms and analytics infrastructure.
• Deep understanding of A/B testing, multivariate testing, and experiment lifecycle governance.
• Hands-on with Eppo, Snowflake, Databricks, Airflow, Spark, and data quality tooling.

Responsibilities

• Define and execute the multi-year technical strategy for experimentation and feature flags.
• Build and maintain a centralized experimentation platform integrated with Eppo.
• Architect scalable data pipelines connecting experimentation to the data warehouse and lake.
• Implement automated data quality and observability guardrails.

Skills

Python

Kotlin

SQL

Cloud-native backend

A/B testing

Data modeling

Tools

Eppo

Snowflake

Databricks

Airflow

Spark

Anomalo

AWS

Job description

Faire is seeking a Staff Software Engineer specializing in Experimentation Infrastructure to own the long-term technology roadmap for its centralized experimentation platform. You will bridge hands-on software development with cross-organizational leadership within the Platform Group, shaping the end-to-end lifecycle of experiments powered by Eppo and integrated into Faire's Snowflake/Databricks stack.

You will partner with Product Engineering, Data Science, Strategy & Analytics, and Product