Top Computer Vision Product Manager Jobs in San Francisco, CA

The Sr. TPMM will influence product positioning, create technical content, drive go-to-market strategies, and engage with customers in Cloud Security.

Lead product initiatives for Cloud Workload Protection targeting Linux and Kubernetes. Collaborate across teams to define product features and engage with customers. Analyze market needs and drive product strategy.

As a Product Marketing Manager at Dandy, you will lead the Clinical Experience platform, driving user engagement and product adoption by translating customer insights into marketing strategies and product positioning.

The Senior Product Marketing Manager will develop go-to-market strategies, drive adoption for frontline application experiences, and empower sales teams with impactful materials, while engaging with customers and influencing product direction.

The Senior Product Manager will lead product discovery, develop business cases, establish roadmaps, and coordinate across teams to ensure product success.

The role focuses on contributing to computer vision projects, collaborating with a diverse team, and promoting a founder mentality with significant autonomy in outcomes.

Oversee all phases of product feature development, manage the product roadmap, conduct user research, and measure success metrics for enterprise customers.

The Senior Product Marketing Manager will lead messaging, create compelling technical content, and collaborate with teams to enhance product offerings at Encord.

As a Product Manager for Open Models, you will collaborate with model builders, track trends, and support marketing to improve performance in AI models.

The role involves building a Quantum Computing education platform, integrating GPUs/QPUs, and collaborating with universities on curriculum development.

The Senior Product Manager will develop AI tools, collaborating with research, engineering, and design to meet user needs and drive business value.

Own end-to-end go-to-market strategies for FiftyOne Enterprise, bridging technical ML engineering with commercial goals through strategic messaging, GTM execution, and market intelligence.