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