Top Artificial Intelligence Product Manager Jobs

The Product Manager will lead the development of an autonomous orchestration platform, defining strategies, collaborating with engineering, and managing product lifecycles.

Own AI Cloud strategy and roadmap to showcase hardware advantages, define served models and pricing/tokenomics, write technical PRDs, drive cloud features for enterprise inference, incubate solution architectures, and align product with sales and partner motions to accelerate deals.

The Technical Product Manager will drive product vision, meet customer needs, and manage the technical execution, focusing on creating an exceptional product experience.

The Product Manager will drive product strategy, gather requirements, prioritize features, collaborate with cross-functional teams, and ensure successful product development and launch.

Manage strategy and execution for high-speed optical interconnect product lines. Partner with product, program, application engineering, and commercial teams to drive adoption, customer integration, roadmap execution, market analysis, and risk management for pluggable optics and next-generation 800G and 1.6T transceiver platforms.

The Product Manager SME oversees Agile processes and governance for the War Data Platform, ensuring alignment with mission priorities and engineering execution, while managing stakeholder engagement and program delivery.

As a Senior Product Manager at Broccoli AI, you will prioritize product development, manage tradeoffs, coordinate go-to-market strategies, and ensure successful rollouts of AI-driven solutions for home service businesses.

Lead the Research product roadmap for Decagon's conversational AI platform. Define model requirements, partner with engineering and infra to build training, evaluation, and experimentation systems, engage customers and external partners, and drive end-to-end initiatives from discovery through launch and adoption.

As a Senior Product Manager, you will set goals and strategies for an analytics product, mentor junior team members, and engage with cross-functional teams to ensure successful product delivery and alignment with company vision.

Translate client scientific needs into product requirements, prioritize roadmaps with researchers and engineers, define success metrics, and drive cross-functional delivery of AI-powered life-science products while balancing feasibility and client expectations.