
Product Manager – AI Platform
Posted Nov 4

Posted Nov 4
This is a fully remote position, open to applicants in India.
• Take ownership of the technical strategy for Data Solutions within Precisely’s AI Studio.
• Contribute to the overarching strategy for Data API, Cloud, and SaaS initiatives.
• Define the roadmap and enhance engineering comprehension of the backlog for the hosted MCP Server, Skills, Agents, and Applications.
• Provide assistance with technical specifications, development resources, and documentation pertaining to Precisely Data APIs.
• Act as the technical expert for Data Solutions and content within AI Studio.
• Develop and evaluate prototype solutions utilizing AI tools.
• Collaborate with Sales Engineers to confirm proposed solutions for validated field use cases.
• Generate comprehensive engineering specifications to transform prototypes into robust products.
• Perform market and industry research on advancements in AI to uncover revenue opportunities and implement best practices.
• Manage and prioritize the backlog across various engineering teams, encompassing features, enhancements, defects, and technical debt.
• Assist with customer escalations through triaging, engineering root-cause analysis, validation of fixes, and customer-facing resolutions.
• Connect Product, Engineering, QA, Support, and external clients through weekly review meetings and solution definition sessions.
• Provide guidance on communications, release notes, and other relevant documentation.
• Minimum of 5 years of professional experience in a technical capacity (software development, solutions engineering, data analytics, QA, or a related field), or recent graduates with a degree in Artificial Intelligence or a comparable technical discipline.
• Solid foundational knowledge of AI tools, integrations, and the contemporary AI landscape, including LLMs, AI agents, MCP servers, and API-based developer tools.
• Practical experience with AI tools (such as Claude, Copilot, ChatGPT, or similar) for building, testing, or evaluating solutions through academic coursework, personal projects, internships, or work experience.
• Capability to read and comprehend REST API documentation, basic software architecture principles, and engage in technical design discussions.
• Excellent written and verbal communication skills, with the ability to articulate technical concepts to both engineering and business audiences.
• Proven curiosity and self-motivated learning in the AI/ML domain.
• Academic coursework, certifications, or hands-on project experience in AI/ML technologies, prompt engineering, or agent-based architecture.
• Proficiency in utilizing AI tools to enhance productivity, including drafting requirements, reviewing code, testing outputs, or prototyping solutions.
• Familiarity with MCP servers, AI agents, skills/apps frameworks, or LLM APIs.
• Occasional international travel may be necessary.
• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Opportunities for professional development and continuous learning.
• Flexible work hours and remote work options.
• Supportive and collaborative team environment.
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