AI Product Analyst (Knowledge Management)

5 years

0 Lacs

Posted:16 hours ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

About RocketFrog.ai:

RocketFrog.ai is an AI Studio for Business, engineering competitive advantage through cutting-edge AI solutions in Healthcare, Pharma, BFSI, Hi-Tech, and Consumer Services. From Agentic AI and deep learning models to full-stack AI-first product development, we help enterprises translate innovation into measurable business impact.

🚀 Ready to take a Rocket Leap with Science?


Role Overview:

AI Product Analyst


Key Responsibilities:

  • Break down complex and ambiguous business contexts into organized frameworks using schemas, taxonomies, or mind maps.
  • Lead the creation of meta-models and domain ontologies to support structured AI understanding and reasoning.
  • Apply principles of

    Description Logic

    to represent domain knowledge, support inference, and enhance explainability.
  • Collaborate with domain experts and technical teams to convert functional needs into machine-readable structures.
  • Contribute to prompt engineering and LLM-based system design, enabling generative and reasoning capabilities.
  • Translate business objectives into AI-ready workflows, use cases, and knowledge blueprints.
  • Build process maps, concept hierarchies, and user interaction flows using tools like Figma and Miro.
  • Bridge business and engineering efforts across the SDLC, ensuring alignment on structured information use.
  • Drive user alignment through compelling narratives in PowerPoint or dashboard formats.
  • Monitor deployed AI solutions using well-defined KPIs and structured user feedback loops to recommend enhancements.


Required Skills & Expertise:

  • Prompt Engineering & AI Fluency (Very Important):

    Hands-on experience in designing effective prompts and working with LLMs for reasoning or automation tasks.
  • Meta-Modelling & Schema Design (Mandatory):

    Strong experience creating information schemas, ontologies, and taxonomies to support AI and system design. Familiarity with

    Description Logic

    or semantic web standards (OWL, RDF, SHACL) is highly desirable.
  • Information Structuring (Very Important):

    Proven ability to organize unstructured information into structured, navigable forms like mind maps or decision trees.
  • Business Process Mapping:

    Comfortable using swimlane diagrams, BPMN, or similar tools to document and optimize enterprise workflows.
  • Software Industry Experience(Compulsory):

    Sound knowledge of Agile methodologies and the software development lifecycle.
  • Communication & Storytelling:

    Exceptional communication skills with experience crafting narratives for stakeholders using PowerPoint and visual tools.
  • Tools & Collaboration Platforms:

    Proficient in Miro, Figma, JIRA, Confluence; familiarity with Excel and data visualization tools is a plus.
  • Analytical Thinking:

    Strong conceptual thinking and problem-solving abilities with a bias toward structured, AI-enabled decision-making.
  • Domain Knowledge (Preferred):

    Background or experience in domains like Rail, Shipping, Logistics, BFSI, or Healthcare is a plus.


Key Stakeholders

  • CxOs & Business Leaders

    – Strategic decision-makers and data consumers
  • Process Owners

    – Operational stakeholders and subject matter experts
  • Technology Teams

    – Engineering, AI, and product delivery teams


Qualifications

  • Bachelor’s or Master’s degree from IIT, IIM, or other Tier-1 institutions
  • 3 to 5 years of experience as a Business Analyst, Product Analyst, or Product Manager in the software industry
  • Proven success in knowledge modeling, process optimization, or AI-led transformation initiatives
  • Immediate joiners preferred


Why Join RocketFrog.ai?

  • Shape the future of Agentic AI and knowledge-driven enterprise systems
  • Work on real-world, high-impact AI projects across multiple industries
  • Be part of a deeply technical and innovation-driven team of AI scientists and engineers
  • Contribute to the next frontier of symbolic + generative AI integration
  • Thrive in a culture that values clarity, curiosity, and continuous learning


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