Technical Product Manager

We are looking for a highly skilled, collaborative, and forward-thinking Technical Product Manager to lead our product team. In this dual-focus role, you will drive the product vision and roadmap for cloud-native microservices, while also driving AI product initiatives, strategizing the integration of agentic workflows and GenAI models to solve complex business challenges.

You'll work closely with a team of like-minded engineers and designers who use automated CI/CD pipelines to continuously ship clean, secure, and production-ready features. A key part of this role is prioritizing features that build strong observability into our systems, including logging, monitoring, and alerting, to ensure performance, reliability, and rapid issue detection across our platforms.

The ideal candidate is passionate about product strategy, technical architecture, and staying current with cutting-edge AI capabilities. You should thrive in a collaborative environment, be committed to delivering user-centric value, and be excited to help shape both the product roadmap and the intelligent capabilities of our platforms.

- B.E. / B.Tech / M.C.A. or a related quantitative degree (MBA or equivalent business experience is a plus).
- 8+ years of experience in the software industry, with at least 3+ years directly in Product Management, Technical Product Management, or a related role.
- Solid technical background with experience managing products built on Java/Spring Boot frameworks, microservices, and front-end frameworks (Angular/React).
- Experience guiding data-driven products and familiarity with modern databases (Oracle/SQL Server/PostgreSQL).
- 3+ years of experience managing API products, developer platforms, or microservice architectures (REST/SOAP).
- 5+ years of experience operating in Agile environments, acting as a Product Lead/Manager with a strong focus on delivering user value.
- 2+ years of experience managing cloud-native products or leading cloud migrations (GCP preferred).
- Familiarity with modern DevOps principles, CI/CD pipelines (GitHub, Jenkins), and testing automation.
- Understanding of enterprise security requirements and code quality standards (SonarQube, Checkmarx, etc.).
- Exceptional communication skills, with the ability to bridge the gap between business stakeholders and deeply technical engineering teams.
- Experience managing or defining requirements for Generative AI/LLM applications and traditional ML models is a strong plus.
- Exposure to chatbots and agentic AI is a plus.