Product Manager - AI Platform

Overview

Own the technical direction of Data Solutions on Precisely's AI Studio, contributing to the overall Data API, Cloud and SaaS strategy, and act as the hands-on, technical subject matter expert bridging Product and Engineering.

What you'll do

• Be the technically oriented subject matter expert for all Data Solutions and content on AI Studio, the modern developer portal.
• Serve as a subject matter expert on AI integration with Precisely Data focusing on APIs, MCP Server, Skills, Agents and Apps.
• Set the roadmap and drive the engineering understanding of the backlog for Precisely's hosted MCP Server, Skills, Agents and Apps.
• Assist with technical requirements, development resources and documentation for Precisely Data APIs.
• Use AI tools to build and test prototype solutions to prioritized business problems.
• Work closely with Sales Engineers to validate proposed solutions for field verified use cases.
• Create detailed engineering requirements to convert prototypes into hardened products.
• Perform industry and market research to stay informed of AI technological advancements, identify revenue opportunities and apply best practices to Precisely solutions.
• Own and prioritize the backlog across multiple engineering teams, covering new features and enhancements to existing features.
• Assist and advise the engineering team on defects and technical debt considerations.
• Provide subject matter expertise to the support team on customer escalations, from initial triage through engineering root-cause analysis, fix validation and customer-facing resolution.
• Act as the technical bridge between Product, Engineering, QA, Support and external customers, running weekly review calls and contributing to solution definition reviews.
• Advise on communications, release notes and other documentation.

What you'll need

• At least 5 years of professional experience in a technical role (software development, solutions engineering, data analytics, QA, or similar).
• Strong foundational knowledge of AI tools, integrations and the modern AI ecosystem, including LLMs, AI agents, MCP servers and API-based developer tooling.
• Hands-on experience using AI tools (Claude, Copilot, ChatGPT, or equivalent) to build, test or evaluate solutions, through coursework, personal projects, internships or work experience.
• Ability to read and understand REST API documentation, basic software architecture concepts and technical design discussions.
• Strong written and verbal communication skills, comfortable translating technical concepts for both engineering and business audiences.
• Demonstrated curiosity and self-driven learning in the AI/ML space.
• Coursework, certifications or hands-on project experience with AI/ML technologies, prompt engineering or agent-based architecture.
• Comfort using AI tools to accelerate work, such as drafting requirements, reviewing code, testing outputs or prototyping solutions.

Nice to have

• Familiarity with concepts such as MCP servers, AI agents, skills/apps frameworks or LLM APIs is a strong differentiator.
• Internship or project experience in product management, business analysis or solution engineering.
• Experience working with GraphQL APIs, including querying, schema exploration or integration testing.
• Exposure to location data, address geocoding, GIS or data quality concepts.
• Experience with hyperscaler platforms (AWS, Azure, GCP) or API marketplace ecosystems.
• Understanding of how agent-native API architectures affect product and developer experience.

Details

• Location: India.
• Some international travel may be required.