AI-Powered Product Manager, Docs-to-Data (Remote)

Remote; San Francisco (CA); Remote; USD 75,000 - 165,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Retirement programs

Charitable giving program

Job summary

Veeva Systems is seeking an experienced technical product manager to design and deliver high-value AI Agent solutions across the Veeva Quality Cloud suite. You will lead the AI initiatives, map and store extracted data, and work with cross-functional teams to deliver AI-powered products that impact quality management and document handling.

The role requires strong AI/ML knowledge, hands-on Python development, and the ability to communicate with both technical and non-technical stakeholders.

Qualifications

• 5+ years in enterprise SaaS product management, engineering, or technical consulting.
• At least 2+ years focused on AI/ML applications.
• Experience with data flow design and model integration.
• Coding skills in Python.
• Strong understanding of AI/ML concepts, LLMs, and prompts.
• Excellent communication with non-technical stakeholders.

Responsibilities

• Hands-on design and development of AI agents focused on Docs to Data.
• Design and deliver production AI Agent applications including data flow, orchestration, and prompts.
• Collaborate with engineering and UX to automate key processes using AI.
• Assist with AI Agent evaluations.
• Present feature capabilities and value to stakeholders.

Skills

AI/ML applications

Python

LLMs

Prompt engineering

Communication skills

Tools

AI Frameworks and APIs

Job description

Veeva Systems is seeking an experienced technical product manager to design and deliver high-value AI Agent solutions across the Veeva Quality Cloud suite. You will lead the AI initiatives, map and store extracted data, and work with cross-functional teams to deliver AI-powered products that impact quality management and document handling.

The role requires strong AI/ML knowledge, hands-on Python development, and the ability to communicate with both technical and non-technical stakeholders.