G-P - Principal Product Manager – Agentic AI Platform
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Requirements
• Experience: 15+ years of product management experience, including owning and driving large-scale technology platforms, AI products, developer-facing products, or enterprise SaaS capabilities across multiple lifecycle stages. • Agentic AI Product Thinking: Strong understanding of how AI, LLMs, agents, tools, workflows, automation, and orchestration can be applied to enterprise SaaS products. Ability to think beyond chatbot experiences and define how AI can help users complete meaningful tasks and business outcomes. • Agentic AI Product Thinking: • AI Quality and Governance: Familiarity with AI evaluation methods such as golden datasets, test suites, trace analysis, human review, LLM-as-a-judge, regression testing, and production monitoring. Strong awareness of AI risks around accuracy, privacy, security, explainability, permissions, and compliance. • AI Quality and Governance: • Technical Depth: Deep familiarity with cloud platforms, SaaS business models, microservices, serverless computing, event-driven architectures, API-first design, data integrations, and modern enterprise architecture. Ability to translate technical possibilities into product outcomes. • Technical Depth: • Platform Product Management: Strong platform mindset with experience creating reusable capabilities, standards, interfaces, and services that support multiple product teams and business use cases. • Platform Product Management: • Developer Experience: Ability to build platform services with empathy for developers, including onboarding, authentication, documentation, observability, service discoverability, and lifecycle needs. Prior experience with Internal Developer Portals such as Backstage is a plus. • Identity, Security, and Access Control: Experience with authentication, authorization, role-based access, policy-based access, API security, OpenAPI, or platform security workflows is highly desirable. • Identity, Security, and Access Control: • Internal Stakeholder Collaboration: Demonstrated ability to work closely with internal customers, especially PMs and engineering leaders of business applications. Skilled in building strong relationships, understanding needs, and creating alignment. • Internal Stakeholder Collaboration: • Prioritization and Decision-Making: Excellent skills in managing and prioritizing requirements in situations with conflicting needs, ambiguity, emerging technology, and platform dependencies. • Prioritization and Decision-Making: • Execution Rigor: High ownership mindset. Ability to balance long-term vision with short-term wins. Comfortable driving specs, writing docs, aligning teams, and getting into details. • Execution Rigor: • Effective Communication: Outstanding communication skills, with the ability to explain complex AI and platform concepts clearly to technical, business, and executive audiences. • Effective Communication: • Documentation and Requirements: Expertise in creating clear PRDs, strategy documents, product briefs, specifications, and operating models. • Strategic and Analytical Thinking: Strong problem-solving ability and strategic thinking. Proficient in analyzing market trends, user feedback, platform usage, and AI performance data to inform product strategy. • Strategic and Analytical Thinking: • Data-Driven Approach: Proficiency in defining and tracking KPIs and metrics to measure AI quality, platform adoption, user satisfaction, automation success, and business impact. • Data-Driven Approach: • Agile Methodologies: Experience with Agile and Scrum methodologies, fostering a culture of continuous improvement and adaptability. • 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. • Educational Background: • 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.
Responsibilities
• 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.
Benefits
• G-P values its employees and offers excellent benefits and perks including generous paid parental leave, flexible time off, spending accounts, medical insurance, dental insurance, vision insurance, sabbatical after 5 years and more. • Individuals residing, or applying to work, in the United States: California or Philadelphia, Pennsylvania, please review the following additional information:G-P will consider qualified applicants with arrest or conviction records in accordance with the California Fair Chance Act, Los Angeles City Fair Chance Act Ordinance, Los Angeles County Fair Chance Act Ordinance, and San Francisco Fair Chance Act Ordinance. Los Angeles applicants can review additional information regarding the Los Angeles City Fair Chance Act here: Fair Chance Initiative for Hiring Ordinance, and Philadelphia applicants can review information pertaining to Philadelphia’s Fair Criminal Record Screening Standards Ordinance here: Fair Chance Poster. Any consideration of a candidate’s background check with arrest or conviction records will include an individualized assessment based on the factors required by applicable law, including the candidate’s specific record and the duties and requirements of the specific job. • United States: California or Philadelphia • Pennsylvania, • G-P. Global Made Possible.
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