Principal Product Manager – Agentic AI Platform
About Us
About This Position
Principal Product Manager for Agentic AI Platform
What you will do
- Lead the end-to-end lifecycle of Agentic AI platform capabilities, from strategy and discovery to roadmap, execution, launch, adoption, and continuous improvement.
- Define and drive key AI platform capabilities, including agents, tools, action interfaces, API integrations, orchestration patterns, evaluation frameworks, observability, guardrails, and human-in-the-loop workflows.
- Partner with engineering, data, security, and product teams to build scalable AI-powered capabilities using cloud-native, SaaS, microservices, serverless, and event-driven architectures.
- Own the product strategy for how agents answer questions, assist users, take actions, access data, use tools, and safely interact with business systems.
- Work with business product teams to identify and prioritize high-value agentic use cases across customer experience, professional experience, reporting, onboarding, compliance, support, and internal operations.
- Drive a platform approach for AI by creating reusable patterns, shared capabilities, clear standards, and developer-friendly interfaces that can be adopted across multiple teams and products.
- Define AI quality and evaluation requirements, including golden datasets, test cases, pass/fail criteria, trace reviews, regression testing, and production monitoring.
- Collaborate with identity, security, and platform teams to ensure agentic actions follow proper authentication, authorization, permissions, auditability, privacy, and compliance controls.
- Drive a developer-centric approach for Agentic AI platform services by improving discoverability, documentation, onboarding, usability, and adoption for internal product and engineering teams.
- Use AI-powered tools in your own product workflow to improve discovery, analysis, documentation, prioritization, decision-making, and execution.
- Work with cross-functional stakeholders to align priorities, gather requirements, manage trade-offs, and ensure successful adoption of AI platform capabilities.
- Drive KPIs that reflect real-world AI and platform impact, including adoption, task completion, answer quality, automation success, deflection, operational efficiency, satisfaction, and reliability.
Minimum Requirements
Experience
Agentic AI Product Thinking
AI Quality and Governance
Technical Depth
Platform Product Management
Developer Experience
Identity, Security, and Access Control
Internal Stakeholder Collaboration
Prioritization and Decision-Making
Execution Rigor
Effective Communication
Documentation and Requirements
Strategic and Analytical Thinking
Data-Driven Approach
Agile Methodologies
Educational Background
Solid technical foundation, preferably with a degree in Computer Science, Engineering, Data Science, or a related field. Advanced degrees such as M.S. or MBA are a plus.
Our ranges are established using objective market benchmarking data for this level of work. Final placement within the range is determined by gender-neutral criteria, including the candidate's relevant skills, experience, and specific qualifications for the role.
Actual compensation for this position may vary and will depend on multiple factors such as relevant qualifications, experience, education, and geographic location. For Full-Time Regular Employees, this position is also eligible for additional compensation as follows:
- Sales Roles: This position is eligible for a commission structure in addition to base salary.
- Non-Sales Roles: This position is eligible for an annual bonus which is paid dependent on various factors, including and without limitation, individual and company performance in addition to base salary.
Benefits
United States: California or Philadelphia
Pennsylvania,
G-P. Global Made Possible.
Not included in the source posting: what you'll do.
Skills
Who can apply
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