1 . Product Vision & Roadmap
- Define the AI Agent Platform roadmap, aligning with business goals and AI industry trends.
- Prioritize product features using frameworks like RICE, MoSCoW, and Jobs-to-be-Done (JTBD).
- Ensure that the platform is scalable, multi-tenant, and cloud-agnostic, supporting multiple industries.
2 . Agile Product Development
- Collaborate with engineering, UX, and data teams to translate requirements into technical execution.
- Lead sprint planning, backlog refinement, and feature prioritization in an Agile/Scrum environment.
- Maintain a clear and structured product backlog, balancing technical debt and innovation.
3 . AI & Data Strategy
- Define strategies for AI model integrations (OpenAI, Falcon, Hugging Face, LangChain).
- Ensure the platform supports low-code/no-code AI workflows, connectors, and automation capabilities.
4 . Go-To-Market (GTM) & Monetization
- Own the GTM strategy, working with marketing & sales teams to drive adoption and revenue growth.
- Conduct competitive analysis to position the AI Agent Platform against existing AI automation tools.
5 . Customer & Stakeholder Engagement
- Gather insights from clients, partners, and stakeholders to refine product features and roadmap.
- Drive pilot programs, beta launches, and proof-of-concept (PoC) implementations.
- Work with sales teams to define ideal customer profiles (ICP) and support enterprise adoption.
