AI Product Manager

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 Manager

As an AI Product Manager, you will define product strategy, shape solution blueprints, and align cross-functional teams around product execution. You will translate ambiguous problem statements into structured AI solutions, bridging business objectives with technical implementation.

Key Responsibilities:

• Own the AI Product Lifecycle:

  Lead end-to-end product development from ideation to launch, incorporating AI/ML capabilities, business logic, and user feedback.

• Define Product Vision & Roadmap:

  Translate customer and market needs into clear product goals, success metrics, and agile execution plans.

• Design AI-First Workflows:

  Collaborate with AI engineers and architects to design solutions using intelligent agents, LLM orchestration, and adaptive automation.

• Drive Stakeholder Alignment:

  Work closely with CxOs, domain SMEs, and engineering teams to define product requirements and align on priorities.

• Deliver High-Impact Use Cases:

  Identify and deliver AI use cases that optimize enterprise operations in BFSI, Healthcare, Pharma, or Consumer Services.

• Lead Backlog & Feature Planning:

  Break down large AI initiatives into actionable user stories and manage sprints with engineering and design teams.

• Champion AI/ML Integration:

  Identify opportunities to embed LLMs, agentic workflows, and data-driven intelligence into products.

• Structure Unstructured Information:

  Bring clarity to complexity using mind maps, schema models, and ontology-driven structures.

• Manage UX-UXP Alignment:

  Oversee wireframes, user journeys, and workflow designs via tools like Figma and Miro in collaboration with the design team.

• Measure Outcomes:

  Define product KPIs and drive post-launch iteration cycles based on usage, performance, and business feedback.

Required Skills & Expertise:

Domain & Experience:

• Software Product Leadership:

  7–12 years in software/tech industry with at least 3 years in AI/ML-based product management roles.

• Strategic Thinking & Execution:

  Ability to drive both big-picture thinking and detailed execution with cross-functional teams.

AI & Data Product Fluency:

• Agentic AI Concepts:

  Strong conceptual understanding of Agentic AI and how intelligent agents collaborate to automate business workflows.

• Agent Orchestration Awareness:

  Familiarity with how platforms like LangGraph or Crew.ai orchestrate roles such as worker, reviewer, or approver to enable modular and auditable AI behavior.

• ML Fundamentals:

  Working understanding of core AI/ML concepts including classification, clustering, and other supervised/unsupervised learning approaches.

• Cloud AI Services (Desirable):

  Basic understanding of cloud computing and cloud-based AI platforms such as AWS, Azure, or Google Cloud for deploying intelligent workflows.

• Meta-Modelling & Knowledge Structures

• Proficiency in designing schemas, taxonomies, or ontologies; familiarity with RDF, OWL, SHACL, or Description Logic is a strong plus.

Information Design & Storytelling

• Information Structuring:

  Proven ability to turn raw inputs into actionable workflows and structured schemas using mind maps or process maps.

• Narrative & Visualization:

  Strong storytelling through PowerPoint, Notion, dashboards; ability to articulate strategy and progress to executives.

• Product & Process Tools

• Tools: Miro, Figma, JIRA, Asana, Confluence, Excel/Google Sheets, PowerPoint, Notion, and basic BI tools (Tableau, Power BI).
• Process Modeling: Swimlane diagrams, BPMN, ERDs, system design documentation.

Key Stakeholders

• CxOs & Innovation Leaders

  – Strategic alignment and value realization

• Engineering & AI Teams

  – Technical execution and AI enablement

• Business & Operations Teams

  – Domain knowledge and feedback integration

• Customers

  – Use case validation and value co-creation

Qualifications:

• Bachelor’s or Master’s degree from Tier-1 institutions (IIT, IIM, ISB, IIIT, BITS preferred).
• 7 to 12 years of professional experience, including product leadership in AI-first or data-driven product lines.
• Proven success in delivering AI-based transformation, automation, or enterprise software products.



Why Join RocketFrog.ai?

• Shape the future of Agentic AI and intelligent enterprise systems.
• Own and scale high-impact AI product lines across industry verticals.
• Collaborate with world-class researchers, AI engineers, and product strategists.
• Thrive in a flat, fast-paced, innovation-first environment.
• Drive real business impact with measurable transformation at the intersection of AI and industry.