Product Owner

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.

Qualifications:

• 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.

Additional Information:

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.

Remote Work:

No

Employment Type:

Full-time