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

As the Trust Tools Tech Lead at Pinterest, you will direct the technical vision for Trust and Safety tooling, lead the design and implementation of scalable systems, and collaborate with various stakeholders to translate business requirements into technical solutions.

In this role, you will develop and execute the machine learning technology stack for Ads, build technology using cutting-edge deep learning methods, collaborate with various teams to enhance ML models, and keep up with trends in recommendation systems.

As a Machine Learning Engineer focused on Monetization, you will build advanced technologies using machine learning and deep learning to improve personalized experiences on Pinterest. Working with various teams, you will enhance ML models for different applications, conduct experiments, and stay updated on industry trends in recommendation systems.

The Senior Product Manager will define and execute strategies for Pinterest's Infrastructure platform, focusing on scalable and efficient compute solutions. Responsibilities include collaborating with cross-functional teams, understanding user needs, and mentoring junior product managers to foster a culture of learning and innovation.

As a Senior Technical Program Manager at Pinterest, you will lead the ads ecosystem, driving development and scaling of new solutions while solving complex engineering problems. You'll manage programs from conception to launch, work cross-functionally with various teams, and ensure effective communication and collaboration throughout the organization.

As a Client Account Manager at Pinterest, you'll focus on driving lower funnel marketing strategies to maximize ROI for strategic advertisers. This involves leveraging Pinterest Ads, building relationships, and providing data-driven insights to ensure campaign success and address client needs effectively.

As a Staff Software Engineer in Capacity Engineering at Pinterest, you will be responsible for enhancing the efficiency of large-scale shared environments like Kubernetes and improving performance on distributed systems. You will collaborate with Infrastructure and SRE teams to ensure resilient and efficient tech stack foundations, while developing profiling and optimization capabilities.