Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

The Staff Software Engineer will lead the Ads Retrieval and Targeting Infra team to enhance Pinterest's ad retrieval system. Responsibilities include defining the technical strategy for scaling infrastructure, improving performance, and mentoring a team of engineers,

Responsible for developing state-of-the-art machine learning projects for ads engagement modeling, designing features, building large-scale ML models, inferring user interests, and collaborating with product and sales teams on new ad products.

The Sr. Director of Product Management for Personalization will develop and execute the strategy and roadmap for personalization and user experience at Pinterest, collaborating with various teams and leading a team of product managers to innovate new user experiences.

The Sr. Project & Program Manager will oversee the AI and Machine Translation aspect of Pinterest's localization process, develop quality measurement frameworks, manage linguistic assets, and collaborate with teams to improve output quality while ensuring best practices and policy compliance.

As a Sr. Product Manager for Conversion Visibility at Pinterest, you will lead the team responsible for conversion attribution, helping to connect user activity with conversions on advertiser websites. You will work cross-functionally to develop product strategies, analyze customer needs, and create privacy-enhancing conversion attribution products to drive ad personalization and measurement.

The Director of Technical Program Management will lead and manage a team of Technical Program Managers, focusing on delivering revenue goals through effective program execution, collaborating with engineering, product, and sales to align priorities and manage complex initiatives. This role involves strategic planning, resource allocation, and fostering relationships across disciplines to drive growth at Pinterest.

The Sr. Systems Engineer, Intelligent Automation will work with stakeholders to identify automation opportunities, design low-code and RPA solutions, and support implementation and monitoring of these automation technologies to improve employee experiences.