A remote Product Management role at G-P.
How Sydicom helps: we read this listing’s requirements and tune your CV and cover letter to the keywords its ATS (Greenhouse) is scanning for, for candidates in India, then help you apply.
Original listing text, shown exactly as published by the company.
As a Principal Product Manager for Agentic AI Platform at G-P, you will play a pivotal role in shaping our Agentic AI strategy and driving the success of platform capabilities that enable AI-powered experiences across our products and operations. You will work at the intersection of AI, platform services, developer experience, security, data, and enterprise SaaS.
You will be expected to define how agents, tools, APIs, workflows, evaluation frameworks, permissions, and governance models come together to create reliable, secure, and scalable AI capabilities. This is a platform product role with a strong AI focus. The ideal candidate has deep platform product management experience, strong curiosity about AI, and the ability to translate emerging technology into practical product outcomes.
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.
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.
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.
Platform Product Management: Strong platform mindset with experience creating reusable capabilities, standards, interfaces, and services that support multiple product teams and business use cases.
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.
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.
Prioritization and Decision-Making: Excellent skills in managing and prioritizing requirements in situations with conflicting needs, ambiguity, emerging technology, and platform dependencies.
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.
Effective Communication: Outstanding communication skills, with the ability to explain complex AI and platform concepts clearly to technical, business, and executive audiences.
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.
Data-Driven Approach: Proficiency in defining and tracking KPIs and metrics to measure AI quality, platform adoption, user satisfaction, automation success, and business impact.
Agile Methodologies: Experience with Agile and Scrum methodologies, fostering a culture of continuous improvement and adaptability.
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.
G-P
Product Management
38 open roles on Sydicom
G-P (Globalization Partners) is a global employment platform that provides Employer of Record (EOR) services. They enable companies to hire and manage international teams compliantly, without needing to establish local entities in various countries.
Generated by Sydicom AI
