Enterprise AI Agent PM: Drive Workflow Innovations & ROI

F-Prime Capital; Oakland (CA); Remote; USD 140,000 - 210,000; Full time

Job summary

Albert is seeking an ambitious Agent Product Manager to design and deploy AI agent skills within our enterprise-grade platform. You will translate customer workflow discovery into scalable, monetizable capabilities that deliver measurable time-to-value for Albert's global customer base.

You will own the end-to-end lifecycle of agent skills, partnering with scientists, engagement managers, and delivery teams to ground development in real deployments and customer context.

Qualifications

• 5+ years of product management experience with shipping AI-powered products.
• Hands-on experience building or deploying AI agents, copilots, or assistants including prompt engineering and tool use.
• Exceptional customer discovery skills, ability to map workflows and surface pain points.
• Experience in vertical SaaS or enterprise software; familiarity with R&D or science-adjacent workflows is a plus.

Responsibilities

• Identify and prioritize high-impact agentic AI opportunities across enterprise customer workflows.
• Own the full lifecycle of agent skills from discovery to monetizable capabilities.
• Design, build, test, and iterate on AI agent skills using the platform and tools.
• Embed with strategic customers to map workflows and drive co-design workshops.
• Partner with Delivery teams to ground skill development in real deployments.
• Advise enterprise customers on their AI transformation roadmap and ROI.

Skills

Product management

AI agent skills

Prompt engineering

Customer discovery

Cross-functional collaboration

Enterprise software

R&D workflows

Job description

Albert is seeking an ambitious Agent Product Manager to design and deploy AI agent skills within our enterprise-grade platform. You will translate customer workflow discovery into scalable, monetizable capabilities that deliver measurable time-to-value for Albert's global customer base.

You will own the end-to-end lifecycle of agent skills, partnering with scientists, engagement managers, and delivery teams to ground development in real deployments and customer context.