Analytics Engineering Manager II: Data Science & AI Tools

Pinterest, Inc.; Oregon; Hybrid; USD 177,000 - 365,000; Full time

Job summary

Pinterest, Inc. is seeking an Analytics Engineering Manager II, Core Data Science to improve the quality and velocity of data science across the company.

You will lead a high-performance team, partner with Core Data Science, and build rock-solid data foundations and tooling to fuel insights for people-facing and business-facing products. You will shape instrumentation, experimentation practices, and AI-enabled analytics pipelines at scale, enabling self-service access to key datasets and

Qualifications

• 6+ years of experience working with data in a fast-paced, data-driven environment.
• Experience managing engineers.
• Fluency in SQL and a scripting language (Python or R) and ability to manipulate complex data structures.
• Experience with workflow orchestration and ETL/ELT on large datasets.
• Proven track record turning open-ended goals into actionable objectives.
• Experience applying AI to improve analytics speed and quality.

Responsibilities

• Lead and grow a diverse analytics engineering team and foster an inclusive culture.
• Define best practices for instrumentation and experimentation across product teams.
• Prototype AI tools and analysis pipelines to provide scalable insights and robust data structures.
• Use AI to accelerate analysis while ensuring correctness through testing and data validation.
• Collaborate with Data Scientists and Engineers to enable self-service datasets and investigations.
• Document tools/datasets and drive data quality and democratization across Pinterest.
• Work cross-functionally to communicate insights with product managers, engineers, designers, and researchers.

Skills

SQL

Python

Data analysis

Team leadership

AI tooling

Education

Bachelor's/Master's/PhD in CS/Stats/Math

Tools

Airflow

ETL/ELT tooling

Job description

Pinterest, Inc. is seeking an Analytics Engineering Manager II, Core Data Science to improve the quality and velocity of data science across the company.

You will lead a high-performance team, partner with Core Data Science, and build rock-solid data foundations and tooling to fuel insights for people-facing and business-facing products. You will shape instrumentation, experimentation practices, and AI-enabled analytics pipelines at scale, enabling self-service access to key datasets and