Description

As the Lead Product Manager for the Agent Platform team, you will own the product discovery and roadmap for a managed agentic platform at 84.51°. You will partner with engineering and data science leads to shape capabilities such as agent registries, evaluation tools, and development frameworks, ensuring safe, compliant, and high-value enterprise use.

Requirements

• Professional experience in leading enterprise AI, ML, or data platforms
• Professional experience in a product/software development team
• Professional experience in managing technical and business stakeholders
• Professional experience in ambiguous environments
• Skilled in general technical acumen to converse with software engineers and AI engineers
• Skilled in managing cross-functional technical development teams in an agile environment
• Skilled in managing business priorities against design/user needs while delivering product roadmaps
• Skilled in end-to-end software product development
• Skilled in problem solving, analytic thinking, and creativity
• Skilled in planning, organization, and verbal/written business communication
• Skilled in maintaining a positive leader persona in ambiguous and changing environments
• Skilled in quickly flexing between technical and business stakeholder conversations
• Demonstrated excellence as a teammate and leader
• 4-6 years relevant experience
• Bachelor's degree or higher in Software Engineering, Computer Science, Machine Learning, or related field

Responsibilities

• Own product discovery and roadmap for the managed agent platform
• Maintain a current roadmap and communicate trade-offs, dependencies, and timelines to stakeholders and delivery teams
• Translate business goals, user needs, and technical constraints into product requirements and acceptance criteria
• Partner with Agentic Foundations leadership, engineering, and data science leads to plan quarters/cycles/sprints
• Define and evolve core agentic platform capabilities including registries, templates, pattern libraries, agent development and monitoring tools, integration with data/API layers, and enterprise AIOps/MLOps workflows
• Facilitate user research and testing to understand developer and business user workflows
• Analyze product usage and operational data to inform prioritization and measure value
• Drive adoption across customer teams through documentation, enablement, demos, and feedback loops
• Ensure alignment with enterprise strategies for scale, reliability, safety, compliance, and cost-efficiency
• Manage progress toward objectives and proactively surface risks, blocks, and cross-team dependencies
• Develop strong stakeholder relationships and influence change in ambiguous environments
• Communicate realized value and outcomes including usage, adoption, productivity improvements, and risk reduction