Top Tech Jobs & Startup Jobs

The Sr. Workplace Operations Coordinator manages the operations and maintenance of building systems for the Bay Area offices, oversees site maintenance programs, and collaborates with global workplace teams. Responsibilities include vendor management, ensuring safety validations, and emergency response planning, while providing swift resolution to work order requests.

As a Senior Product Manager for Visual AI at Pinterest, you will develop and execute a strategy for Generative Visual capabilities, collaborate with various teams to innovate and build features, and define product strategies that leverage emerging AI technologies to resolve user and advertiser challenges.

As a Staff Product Manager for AI Safety at Pinterest, you will develop and execute strategies for AI capabilities, collaborate with cross-functional teams to create development roadmaps, and ensure that technology complies with safety regulations while enhancing user experience.

As a Sr. Systems Engineer for Intelligent Automation at Pinterest, you will identify and implement automation solutions by analyzing business processes, collaborating with IT teams, providing support during implementation, and monitoring automation performance to enhance user experience.

The Sr. Lead Counsel will manage a small legal team while developing legal strategies for Pinterest's core product. Responsibilities include advising on emerging areas such as AI and privacy, negotiating strategic partnerships, and driving processes to manage risk and support business goals.

As a Senior iOS Software Engineer at Pinterest, you will develop and lead iOS features, collaborate with cross-functional teams, and create scalable solutions. You will ensure high-quality code through automated testing and contribute to the product development process from ideation to release, all while staying updated on the latest technologies.

The Staff Data Scientist will enhance data labeling capabilities at Pinterest by applying data science to improve throughput and quality of data collection. Responsibilities include identifying analytical opportunities, collaborating with engineers and customers, mentoring other data scientists, and evolving platform strategies in partnership with product and engineering leaders.