Pinterest is looking to improve its ads delivery and performance, challenging 20 years of assumptions to protect the Pinner experience and grow durable revenue.
Requirements
MS or PhD in a quantitative field (Computer Science, Statistics, Math, Engineering, Economics or related) or equivalent practical experience
10+ years in Data Science, Algorithmic Engineering, or Machine Learning, with significant impact in digital advertising or large-scale marketplaces
5+ years directly managing data science organizations, including managing managers and scaling multi-team groups in a technology company
Deep experience with statistical analysis and causal inference, experiment design, and measurement for complex marketplaces
Production analytics and large-scale data tooling (e.g., Python/R, SQL; Spark/Hive or similar)
Applied ML or relevance/ranking systems; familiarity with auction dynamics, pacing, bidding, and quality/relevance modeling
Responsibilities
Set strategy and outcomes for Ads Delivery & Performance across all Pinterest surfaces
Establish clear north-star outcomes and the right cascade of input metrics and guardrails that drive them
Identify, define, and instrument the input metrics that most influence delivery and performance
Build metric specs, ownership, alerting, and weekly business reviews so that teams operate to inputs
Lead an organization of leaders, hiring, developing, and inspiring a diverse, high-performance organization of data science managers and senior ICs
Partner with Product and Engineering on marketplace, ranking, pacing, and quality systems
Elevate measurement and decision quality, owning the measurement strategy for ads quality and delivery
Other
Excellent written and verbal communication; adept at influencing senior cross-functional partners and executives
