Location: Technopark (Trivandrum) or Infopark (Kochi) – On-site role
Experience: 10+ years
Education: Bachelor's degree in Computer Science, Engineering, or a related field
Industry: IT Software – AI/ML, Full-Stack Development
About the Role:
We are looking for a Technical Product Manager (TPM) with a strong foundation in .NET technologies and Generative AI tools to lead the development of intelligent digital products. The ideal candidate will bring a combination of hands-on technical experience, product ownership mindset, and Agile leadership, with a deep understanding of how to translate evolving business needs into scalable, high-impact solutions.
As a TPM, you will work at the intersection of strategy, development, and customer value, playing a hybrid role that spans Product Manager, Product Owner, and Technical Contributor. This role is ideal for someone who thrives in building products end-to-end - from ideation to release - and is equally comfortable contributing individually to architecture, prototyping, or coding as needed.
Key Responsibilities:
Product Strategy & Roadmap
· Define and manage the product roadmap for AI-enabled .NET-based applications.
· Translate complex business objectives into executable product plans, MVPs, and clear user stories.
· Gather and prioritize feature enhancements and customer feedback.
· Align business goals, user value, and AI/ML capabilities into a cohesive, outcome-driven product vision.
Technical Execution & Development
· Lead solution design, architecture planning, and prototyping with .NET and Gen AI tools.
· Work closely with engineering teams to implement scalable back-end and front-end components.
· Maintain active involvement in technical feasibility analysis, code reviews, and critical path development activities.
· Ensure data integrity, performance, and compliance across the development lifecycle.
Agile Product Delivery
· Lead Agile ceremonies including Sprint Planning, Daily Stand-ups, Retrospectives, and Release Planning.
· Own and manage the product backlog, and use tools like Azure DevOps, JIRA, and Confluence to ensure visibility and alignment.
· Adapt product delivery processes to fit team context, using Agile or hybrid frameworks without losing focus on customer value and feature impact.
Stakeholder & Team Collaboration
· Act as the central point of contact between engineering, AI/ML, design, and business teams.
· Translate business needs and technical insights into actionable roadmaps and delivery plans.
· Collaborate with regional leads and clients for solution reviews, demos, UAT, and go-to-market enablement.
· Communicate priorities, trade-offs, and product status across both technical and non-technical audiences.
Performance Optimization & Product Lifecycle Management
· Monitor usage metrics, analyze adoption trends, and drive data-informed feature improvements.
· Guide product enhancement, maintenance, and lifecycle planning—including decisions around sunsetting or scaling.
· Ensure alignment with DevOps pipelines, CI/CD automation, and AI model deployment workflows.