Senior Experimentation Platform Engineer

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

Benefits offered by this job

Equity

Comprehensive benefits

Hybrid work model

Job summary

Faire is seeking a seasoned technical leader to own experimentation infrastructure in San Francisco. You will define a roadmap for a centralized experimentation platform, collaborating with Strategy & Analytics, Product, and Data Science, balancing leadership with hands-on development.

Your role includes shaping long-term strategy for experimentation, integrating with the data ecosystem (Snowflake, Databricks, AWS), and driving best practices in measurement, design, and interpretation across the

Qualifications

• Extensive software engineering experience with focus on experimentation, analytics infrastructure, and product development.
• Able to translate business objectives into experimentation and measurement capabilities.
• Experience designing, building, and scaling experimentation platforms in SaaS/e‑commerce environments.

Responsibilities

• Define and execute long-term strategy for experimentation and measurement company-wide.
• Establish a technology roadmap for a centralized experimentation platform powered by Eppo and integrated with Faire’s data ecosystem.
• Partner with Strategy and Analytics, Product Management, Data Science, and other key consumers of experiments infrastructure.

Skills

Experimentation infra

AB testing

Feature rollout

Progressive delivery

SQL

Data modeling

Cross-team collaboration

Data quality observability

Security and reliability

Cloud best practices

Tools

Eppo

Snowflake

Databricks

Airflow

Spark

Python

Kotlin

AWS

Job description

Faire is seeking a seasoned technical leader to own experimentation infrastructure in San Francisco. You will define a roadmap for a centralized experimentation platform, collaborating with Strategy & Analytics, Product, and Data Science, balancing leadership with hands-on development.

Your role includes shaping long-term strategy for experimentation, integrating with the data ecosystem (Snowflake, Databricks, AWS), and driving best practices in measurement, design, and interpretation across the