Product Manager – AI Platform
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Job Description
Product Manager leading AI Studio data solutions, APIs, MCP servers, agents, and apps at Precisely. Bridging product, engineering, QA, support, and customers.
Responsibilities:
- 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:
- 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
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