Manager II, Engineering

The Growth Platform team is looking for an Engineering Manager to lead two of our teams: 

• The Machine Learning team’s mission is to optimize user experience and retention


• The Localization Platform team owns all of localization related engineering for the entire company. It combines full-stack engineering with machine learning.
  
  

What you’ll do:

• Lead the machine learning team to design, ship, and iterate on models for user targeting and personalization that drives engagement and retention.  


• Own the technical direction of the localization platform, ensuring a reliable, scalable foundation that powers Pinterest in 40+ languages and unlocks new international growth opportunities.  


• Apply machine learning within localization and growth use cases, such as audience expansion, lifecycle optimization, and machine‑translation–driven experiences for global Pinners.  


• Manage and mentor fullstack and machine learning engineers, providing clear expectations, regular feedback, and growth opportunities to develop strong technical and leadership skills.  


• Partner closely with cross‑functional teams (Product, Data Science, Design, PMM, and other engineering teams) to define roadmaps, run experiments, and deliver high‑impact growth and internationalization outcomes.  

What we’re looking for:

• 8+ years of industry experience building and operating production systems at scale.


• 3+ years of experience leading machine learning teams, with a strong hands‑on background in Python and PyTorch.


• Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.


• Proficiency with data processing and distributed systems such as Spark or Hadoop.


• Experience with cloud infrastructure on AWS and containerized services using Docker and Kubernetes.


• Ability to design and operate large‑scale ML pipelines for training, evaluation and deployment, including high‑QPS, low‑latency model serving.


• Strong background in recommendation systems, user modeling or personalization, including rigorous A/B testing and metric analysis.


• Bachelor’s/Master’s degree in a relevant field or equivalent experience.

Relocation Statement:

•  This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.


• This role will need to be in the office for in-person collaboration 1-2 times per month and therefore needs to be in a commutable distance from one of the following offices: Dublin.

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