1️. 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.
2️. 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.
3️. 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.
4️. 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.
5️. 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.
- 8+ years of experience as a Product Owner / Product Manager, preferably in AI, SaaS, or cloud-based platforms.
- 6months – 1 year experience in AI / GenAI
- Strong functional understanding of APIs, multi-tenant SaaS platforms, and cloud architectures.
- Experience with GTM strategies, monetization models, and enterprise B2B product launches.
- Familiarity with Agile methodologies, JIRA, and backlog management tools.
- Ability to translate business goals into product requirements and collaborate with engineering teams.
- Experience with user research, analytics (Mixpanel, Google Analytics), and A/B testing.
- Strong presentation & communication skills for C-suite engagement and investor pitches.
- Bonus: Background in data-driven decision-making, AI ethics, or regulatory compliance.
Languages/Technologies: Java/J2EE, ReactJS, JQuery, JSON, HTML, JavaScript, CSS, PLSQL. Additional: Angular 7, VueJS, AngularJS. Frameworks: Spring Boot, Spring 4(MVC, ORM, AOP, SECURITY, Batch), Struts 2, Hibernate 3+. Database: Oracle 19c. Web Services: RESTful Web Services (JAX-RS), SOAP, JSON. Build Tool: Maven. Version Control : Bit Bucket. Development Tools: Eclipse STS, Jira, Tibco Jasper Report. Application Server: WebLogic Application server, Apache Tomcat Testing: Junit.