Product Manager – AI Platform

Precisely

. Own the technical direction of Data Solutions on Precisely’s AI Studio .

Posted 11/3/2026full-timeRemote • IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AI tools and technologies, with a strong ability to translate technical concepts for diverse audiences. Proven experience in managing technical direction, developing engineering requirements, and supporting data solutions in a collaborative environment.

Highest-signal resume keywords

AI Tools ProficiencyData API DevelopmentTechnical Subject Matter ExpertiseREST API Documentation UnderstandingStrong Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software DevelopmentSolutions EngineeringData AnalyticsAI/ML TechnologiesPrompt EngineeringAgent-Based ArchitectureTechnical DesignPrototyping SolutionsBacklog ManagementRoot-Cause Analysis

Soft Skills

CuriositySelf-Driven LearningCollaborationProblem-SolvingCommunication

Tools & Technologies

ClaudeCopilotChatGPTMCP ServersAI AgentsSkills/Apps FrameworksAPI-Based Developer Tooling

Industry Keywords

AI EcosystemMarket ResearchRevenue OpportunitiesTechnical DocumentationCustomer Escalations

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Own the technical direction of Data Solutions on Precisely’s AI Studio
Support the overall Data API, Cloud, and SaaS strategy
Set the roadmap and drive engineering understanding of the backlog for the hosted MCP Server, Skills, Agents, and Apps
Assist with technical requirements, development resources, and documentation for Precisely Data APIs
Serve as the technical subject matter expert for Data Solutions and content on AI Studio
Build and test prototype solutions using AI tools
Work with Sales Engineers to validate proposed solutions for field-verified use cases
Create detailed engineering requirements to convert prototypes into hardened products
Conduct industry and market research on AI advancements to identify revenue opportunities and apply best practices
Own and prioritize the backlog across multiple engineering teams, including features, enhancements, defects, and technical debt
Support customer escalations through triage, engineering root-cause analysis, fix validation, and customer-facing resolution
Bridge Product, Engineering, QA, Support, and external customers through weekly review calls and solution definition reviews
Advise on communications, release notes, and other documentation

Requirements

What you’ll need

At least 5 years of professional experience in a technical role (software development, solutions engineering, data analytics, QA, or similar), or a recent college graduate with a degree in Artificial Intelligence or a related technical field
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 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, including drafting requirements, reviewing code, testing outputs, or prototyping solutions
Familiarity with MCP servers, AI agents, skills/apps frameworks, or LLM APIs
Some international travel may be required