Staff Product Manager (AI)

TL;DR

Staff Product Manager (AI): Defining and delivering next-generation agentic AI products that transform enterprise workflows with an accent on scalable AI-driven workflows and platform vision. Focus on embedding intelligent agents into enterprise tools, driving end-to-end execution, and solving mission-critical operational challenges.

Location: Must be based in the United States

Salary: $180,000 - $240,000 USD annually

Company

An advanced AI platform developing agentic solutions for enterprise and government use cases.

What you will do

• Lead the product vision and roadmap for enterprise agentic and workflow solutions.
• Translate complex requirements into intuitive AI-driven product experiences.
• Drive end-to-end execution from discovery through launch and iteration across enterprise environments.
• Collaborate with marketing, customer success, and deployment to identify reusable workflows and scale solutions.
• Use data analysis, customer feedback, and competitive insights to guide prioritization.
• Act as a product evangelist internally and externally in stakeholder meetings and industry forums.

Requirements

• 6+ years of experience in Product Management, ideally within enterprise software or large-scale workflow systems.
• Strong familiarity with AI technologies and their application in transforming business processes.
• Proven ability to define product strategy, build roadmaps, and deliver data-driven outcomes.
• Experience managing complex, multi-team initiatives with strong execution discipline.
• Background in a technical field (BS/MS) or equivalent practical experience.
• Must be based in the United States.

Culture & Benefits

• Fully remote work flexibility within the United States.
• Opportunity to work on cutting-edge agentic AI systems shaping the future of enterprise workflows.
• High-impact role with ownership over strategic product direction and platform evolution.
• Collaborative environment working alongside top-tier engineering, design, and AI talent.
• Exposure to mission-critical customer environments and enterprise-scale deployments.