About Pinterest:

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.

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 Py Torch.

• 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 Pin Flex 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.

Our Commitment to Inclusion:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.