Liberate CI

Product Manager

• Own problem definition: Identify and shape the highest-leverage AI opportunities across customer workflows
• Lead advanced discovery and co-design sessions: Translate ambiguity into clear solution direction and priorities
• Design agent systems: Define workflows, behaviors, and requirements, making tradeoffs across scope, feasibility, and impact
• Drive multi-threaded execution: Coordinate across engineering, customer stakeholders, and internal teams
• Manage execution systems: Own sequencing, dependencies, and risk mitigation across workstreams
• Anticipate and mitigate failure modes: Shape execution plans to prevent predictable issues before they arise
• Ensure adoption and outcomes: Drive measurable value, not just successful deployment
• Create reusable patterns: Identify recurring solutions and convert them into scalable workflows or product improvements

Staff AI Agent Product Manager – Forward-Deployed Product

• Define and prioritize problem spaces: Identify the highest-impact opportunities across customers and workflows
• Lead complex, cross-functional engagements: Drive discovery, design, and delivery across multiple teams and stakeholders
• Set direction for agent design: Guide solution architecture and key tradeoffs, including customization vs standardization
• Own execution across initiatives: Ensure alignment, momentum, and delivery predictability across multi-threaded efforts
• Build and improve delivery systems: Establish frameworks for scoping, execution, measurement, and quality
• Translate patterns into platform: Turn cross-customer learnings into product and platform improvements
• Influence roadmap and strategy: Shape product and technical direction based on field insights
• Raise the bar across the team: Improve standards for product thinking, execution rigor, and delivery excellence

Senior Staff AI Agent Product Manager – Forward-Deployed Product

• Scope and prioritize use cases: Work directly with customers to identify high-impact automation opportunities across workflows
• Lead discovery and design workshops: Uncover pain points, map processes, and define clear problem statements and success criteria
• Design agent workflows: Translate business needs into structured agent behaviors, requirements, and system logic
• Own end-to-end execution: Drive delivery across engineering, customers, and internal teams
• Coordinate delivery: Manage sequencing, dependencies, and timelines to ensure steady, predictable progress
• Manage risk and quality: Surface risks early, propose mitigations, and maintain high delivery standards
• Drive iteration and outcomes: Monitor performance post-launch and refine solutions based on real-world usage

Staff AI Agent Product Manager – Forward-Deployed Product

Senior Staff AI Agent Product Manager – Forward-Deployed Product

Senior AI Agent Product Manager – Forward-Deployed Product