Manager II, Engineering

Dublin, IEFull-TimeManagerSoftware Engineering

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Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.
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.

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.

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.

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

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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