Top Artificial Intelligence Product Manager Jobs in San Francisco, CA

Lead the roadmap for Liftoff's data infrastructure, translating complex requirements into actionable engineering specifications, overseeing data quality, and collaborating with cross-functional teams.

The Staff Product Manager for Ad Formats at Snap Inc. will develop product strategies, prioritize advertising experiences, and lead teams to optimize ad performance through data-driven decisions.

Lead ads ranking at Snap, improve user relevance, advertiser performance, and revenue using ML models. Collaborate with cross-functional teams and mentor PMs.

The role involves understanding customer needs, collaborating with teams to deliver solutions, and driving product performance in a fast-paced environment, focusing on AI-powered support tools.

This role involves driving growth initiatives, scaling successful tactics, building growth systems, and leveraging data to enhance user acquisition and retention at Superhuman.

As a Senior Product Manager, you'll lead product strategy and execution for AI-native healthcare solutions, collaborating with engineering and design to drive product performance and market adoption.

The Senior Product Manager will develop clinical products to improve provider efficiency and experience, utilizing automation and AI, while collaborating with various teams to enhance the overall product strategy.

Lead the development of AI-powered features in a fullstack role. Collaborate with research and engineering teams to enhance user experiences and integrate new functionalities into the platform.

The role involves leading user activation, conversion, and retention efforts to enhance clinician engagement with Freed's AI product, focusing on onboarding and user experience.

Lead go-to-market strategy for Cloud Cost Management, enhance product adoption, and create marketing materials while collaborating with sales and product teams.

As a Solutions Engineer at EliseAI, you will manage product launches, develop tools, provide client training, and enhance product offerings through feedback and data synthesis.