Senior Experimentation Platform Engineer (Self-Serve)

Confidential; San Francisco (CA); On-site; USD 120,000 - 150,000; Full time

Job summary

A Confidential company in San Francisco is seeking an experienced Experimentation Engineer to design and build the core experimentation platform infrastructure. You will work on automated metric pipelines, advanced statistical methods, and self-serve tooling while collaborating with cross-functional teams to analyze impactful experiments.

The ideal candidate will have 5+ years of experience in experimentation engineering, strong proficiency in Python, SQL, and bilingual skills in English and Mandarin for effective cross-timezone collaboration.

Qualifications

• 5+ years of industry experience in experimentation engineering, data engineering, or growth engineering.
• Proven track record building A/B testing infrastructure.
• Deep expertise in causal inference and experimental statistics.
• Strong proficiency in Python and SQL.
• Experience in building data products and self-serve analytics.
• Bilingual communication skills in English and Mandarin.
• Experience in fintech/crypto is a plus.

Responsibilities

• Design and build the core experimentation platform infrastructure.
• Implement advanced statistical methods for experiments.
• Build automated metric pipelines connecting experiments to business outcomes.
• Partner with cross-functional teams to analyze high-impact experiments.
• Establish experiment quality standards and monitoring.
• Mentor junior engineers and drive best practices.

Skills

Experimentation engineering

Causal inference

Python

SQL

Statistical analysis

Cross-device identity resolution

Real-time data processing

Bilingual in English and Mandarin

Tools

Flink Streaming

Spark Structured Streaming

Hive

ClickHouse

Kafka

Job description

A Confidential company in San Francisco is seeking an experienced Experimentation Engineer to design and build the core experimentation platform infrastructure. You will work on automated metric pipelines, advanced statistical methods, and self-serve tooling while collaborating with cross-functional teams to analyze impactful experiments.

The ideal candidate will have 5+ years of experience in experimentation engineering, strong proficiency in Python, SQL, and bilingual skills in English and Mandarin for effective cross-timezone collaboration.