Staff Engineer - Experimentation Platform | Faire

As a Staff Software Engineer specializing in Experimentation Infrastructure, you will serve as the company-wide technical authority defining and executing the long-term technology roadmap for Faire’s centralized experimentation platform. Embedded within the Platform Group, you will bridge hands-on software development with cross-organizational technical leadership. You will architect and scale an enterprise-grade experimentation and measurement ecosystem—powered by Eppo and integrated into Faire's modern data stack (Snowflake, Databricks, Airflow, Spark). Partnering directly with Product Engineering, Data Science, Strategy & Analytics, and Product Management, you will establish unified standards for A/B testing, progressive delivery, metric generation, statistical guardrails, and automated result interpretation across millions of marketplace interactions.

Key Responsibilities

Technical Vision & Experimentation Architecture

• Company-Wide Experimentation Strategy: Define, execute, and scale the multi-year technology strategy for experimentation, feature flags, and statistical measurement across Faire.
• Centralized Platform Engineering: Build and maintain Faire's centralized experimentation platform integrated with Eppo, managing the end-to-end experiment lifecycle from hypothesis and configuration to metric calculation and governance.
• Data Ecosystem Integration: Architect scalable data pipelines and analytical data models connecting experimentation infrastructure to Faire's data warehouse and data lake (Snowflake, Databricks, Airflow, Spark).
• Quality & Observability Integration: Implement automated data quality, metrics validation, and observability guardrails using tools such as Anomalo.

Strategic Partnering & Engineering Standards

• Cross-Disciplinary Alignment: Partner closely with Data Science, Strategy & Analytics, Product Management, and Product Engineering to translate complex business objectives into reliable measurement capabilities.
• Standards & Best Practices: Establish best practices for statistical experiment design, multivariate testing, progressive delivery, feature rollout, and trustworthy decision-making.
• Technical Mentorship: Drive technical design reviews, mentor software and analytics engineers, and champion engineering excellence across organizational boundaries.

Requirements

Technical Depth & Platform Foundations

• Extensive Domain Expertise: Extensive software engineering background with a primary focus on designing, building, scaling, and operating experimentation platforms and analytics infrastructure (experience in marketplace or e-commerce environments is highly valuable).
• Experimentation Methodologies: Deep understanding of A/B testing, multivariate testing, progressive feature delivery, statistical power analysis, and experiment lifecycle governance.
• Commercial & Open-Source Tools: Hands-on experience implementing commercial or open-source experimentation platforms (direct experience with Eppo is strongly preferred).
• Modern Data Stack Mastery: Hands-on proficiency with modern cloud data infrastructure (Snowflake, Databricks, AWS, Airflow, Spark).
• Data Quality & Modeling: Strong SQL skills, deep experience designing scalable analytical data models, and familiarity with data observability tools (Anomalo or equivalent).
• Core Technical Stack: Proficiency in software development across Python, Kotlin, SQL, and cloud-native backend environments.
• Cross-Functional Influence: Proven ability to define a clear technical vision, build alignment across non-engineering disciplines, and drive adoption across organizational silos.

Preferred Qualifications

• Direct experience migrating or scaling Eppo across multi-product SaaS or two-sided marketplace platforms.
• Background in advanced statistical methodologies (e.g., CUPED variance reduction, sequential testing, causal inference models).
• Experience working with high-throughput stream processing platforms for real-time feature evaluation.

Total Rewards & Benefits

• Compensation & Equity: San Francisco base salary range ($231,000 – $318,000 USD) + competitive equity grants + comprehensive benefits package.
• Time Off & Workplace Flexibility: Flexible Paid Time Off (PTO), company-wide recharge days, and 4 weeks of remote work flexibility annually for hybrid employees.
• Family & Parental Support: Paid parental leave (up to 16 weeks) alongside comprehensive family-building and fertility benefits through Carrot (including a lifetime reimbursement allowance).
• Health & Mental Wellbeing: Comprehensive medical, dental, and vision insurance coverage, plus mental health support and dedicated coaching through Modern Health.
• Stipends & Retirement: Professional development stipends, wellness allowances, work-from-home setup stipends, and an employer-sponsored retirement plan.