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Principal Product Manager – Agentic AI Platform

2 months, 3 weeks ago
India
Full-time
Lead
AI (Artificial Intelligence)
Artificial Intelligence and Machine Learning
Agile LLM Microservices OpenAPI Scrum
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G-P/Globalization Partners

G-P/Globalization Partners

G P offers Employer of Record solutions for global team management in 180+ countries, combining EOR, Payroll, and HCM solutions for streamlined and compliant workforce expansion.

Professional Services
1K-5K
View All Jobs 9

Description

  • Lead the end-to-end lifecycle of Agentic AI platform capabilities from strategy and discovery through roadmap, execution, launch, adoption, and continuous improvement.
  • Define and drive AI platform capabilities including agents, tools, action interfaces, API integrations, orchestration patterns, evaluation frameworks, observability, guardrails, and human-in-the-loop workflows.
  • Own the product strategy for how agents answer questions, assist users, take actions, access data, use tools, and interact safely with business systems.
  • Partner with engineering, data, security, and product teams to build scalable AI-powered capabilities using cloud-native, SaaS, microservices, serverless, and event-driven architectures.
  • Identify and prioritize high-value agentic use cases across customer experience, professional experience, reporting, onboarding, compliance, support, and internal operations.
  • Create reusable patterns, shared capabilities, 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 proper authentication, authorization, permissions, auditability, privacy, and compliance controls.
  • Improve discoverability, documentation, onboarding, usability, and adoption for internal product and engineering teams using a developer-centric approach.
  • Align cross-functional stakeholders on priorities, requirements, trade-offs, and adoption of AI platform capabilities.
  • Drive KPIs related to adoption, task completion, answer quality, automation success, deflection, operational efficiency, satisfaction, and reliability.

Requirements

  • 15+ years of product management experience, including ownership of large-scale technology platforms, AI products, developer-facing products, or enterprise SaaS capabilities.
  • Strong understanding of AI, LLMs, agents, tools, workflows, automation, and orchestration in enterprise SaaS products.
  • 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.
  • Deep familiarity with cloud platforms, SaaS business models, microservices, serverless computing, event-driven architectures, API-first design, data integrations, and modern enterprise architecture.
  • Experience creating reusable platform capabilities, standards, interfaces, and services that support multiple product teams and use cases.
  • Ability to support developers through onboarding, authentication, documentation, observability, service discoverability, and lifecycle needs; Internal Developer Portals such as Backstage are a plus.
  • Experience with authentication, authorization, role-based access, policy-based access, API security, OpenAPI, or platform security workflows is highly desirable.
  • Demonstrated ability to work closely with internal customers, especially product managers and engineering leaders.
  • Excellent prioritization and decision-making skills in ambiguous, dependency-heavy environments.
  • High ownership mindset with comfort driving specs, writing docs, aligning teams, and working in the details.
  • Outstanding communication skills with the ability to explain complex AI and platform concepts to technical, business, and executive audiences.
  • Experience creating PRDs, strategy documents, product briefs, specifications, and operating models.
  • Strong problem-solving, strategic thinking, and analytical skills; ability to use market trends, user feedback, platform usage, and AI performance data to inform strategy.
  • Proficiency in defining and tracking KPIs and metrics for AI quality, platform adoption, user satisfaction, automation success, and business impact.
  • Experience with Agile and Scrum methodologies.
  • A technical foundation, preferably a degree in Computer Science, Engineering, Data Science, or a related field; an M.S. or MBA is a plus.

Benefits

  • Competitive compensation with additional pay opportunities based on role type, including commission for sales roles or an annual bonus for non-sales roles.
  • Generous paid parental leave.
  • Flexible time off.
  • Spending accounts.
  • Medical insurance.
  • Dental insurance.
  • Vision insurance.
  • Sabbatical after 5 years.

Interested in this position?

Apply directly on the company website

Apply Now

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