Product Owner

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.