AI Product Manager (Cortex)

TL;DR

AI Product Manager (Cortex): Leading the product vision and execution for AI solutions and services within the Snowflake Data Cloud with an accent on generative AI, machine learning, and enterprise-grade scalability. Focus on bridging customer needs with technical capabilities to transform bespoke deployments into repeatable platform features.

Location: Must be based in the United States (Menlo Park, CA)

Compensation: $200,000 – $287,500

Company

Snowflake is a leading cloud-based data platform provider powering the era of the agentic enterprise through innovative data and AI solutions.

What you will do

• Own the end-to-end product lifecycle for AI services from discovery to launch.
• Define and articulate a clear product strategy and roadmap for large-scale AI solutions.
• Lead cross-functional teams of engineers, data scientists, and solution architects.
• Act as the primary bridge between customer objectives and technical product capabilities.
• Commercialize innovation by turning bespoke customer solutions into scalable platform features.
• Collaborate with leadership to define product strategy and execute on high-stakes business goals.

Requirements

• Bachelor's degree in Computer Science, Engineering, or related technical field.
• 7+ years of experience in product management shipping enterprise software or cloud services.
• Deep technical fluency in data science workflows and modern AI paradigms like LLMs and vector databases.
• Proven ability to translate product strategy into concrete, actionable roadmaps.
• Strong executive presence with the ability to communicate effectively with C-level stakeholders.
• Must be authorized to work in the United States.

Nice to have

• Experience building products for developers or data scientists.
• Familiarity with the Snowflake platform and Data Cloud ecosystem.
• Management consulting experience.
• Experience operating in high-growth, high-ambiguity environments.

Culture & Benefits

• Opportunity to work at the forefront of generative AI and agentic enterprise technology.
• Collaborative environment focused on innovation and challenging ordinary thinking.
• Commitment to high standards of data security and confidentiality.
• Fast-paced, dynamic culture that encourages experimentation and rapid delivery.