Manager II, Engineering

<div class="content-intro"><p><strong>About Pinterest:</strong></p> <p>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.</p> <p>Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the <a href="https://www.pinterestcareers.com/our-life/pinflex/">flexibility</a> to do your best work. Creating a career you love? It’s Possible.</p></div><p>The Growth Platform team is looking for an Engineering Manager to lead two of our teams: </p> <ul> <li>The Machine Learning team’s mission is to optimize user experience and retention</li> <li>The Localization Platform team owns all of localization related engineering for the entire company. It combines full-stack engineering with machine learning.<br><br></li> </ul> <p><strong>What you’ll do:</strong></p> <ul> <li>Lead the machine learning team to design, ship, and iterate on models for user targeting and personalization that drives engagement and retention. </li> <li>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. </li> <li>Apply machine learning within localization and growth use cases, such as audience expansion, lifecycle optimization, and machine‑translation–driven experiences for global Pinners. </li> <li>Manage and mentor fullstack and machine learning engineers, providing clear expectations, regular feedback, and growth opportunities to develop strong technical and leadership skills. </li> <li>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. </li> </ul> <p> </p> <p><strong>What we’re looking for:</strong></p> <ul> <li>8+ years of industry experience building and operating production systems at scale.</li> <li>3+ years of experience leading machine learning teams, with a strong hands‑on background in Python and PyTorch.</li> <li>Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.</li> <li>Proficiency with data processing and distributed systems such as Spark or Hadoop.</li> <li>Experience with cloud infrastructure on AWS and containerized services using Docker and Kubernetes.</li> <li>Ability to design and operate large‑scale ML pipelines for training, evaluation and deployment, including high‑QPS, low‑latency model serving.</li> <li>Strong background in recommendation systems, user modeling or personalization, including rigorous A/B testing and metric analysis.</li> <li>Bachelor’s/Master’s degree in a relevant field or equivalent experience.</li> </ul> <p> </p> <p><strong>Relocation Statement:</strong></p> <ul> <li> This position is not eligible for relocation assistance. Visit our<a href="https://www.pinterestcareers.com/pinflex/"> PinFlex</a> page to learn more about our working model.</li> </ul> <p> </p> <p><strong>I</strong><strong>n-Office Requirement Statement:</strong></p> <ul> <li>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.</li> <li>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.</li> </ul> <p> </p> <p>#LI-HYBRID </p> <p>#LI-JD1</p><div class="content-conclusion"><p><strong>Our Commitment to Inclusion:</strong></p> <div>Pinterest is an equal opportunity employer and makes employment decisions on the basis o ... (truncated, view full listing at source)