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Technical Product Manager / Technical Product Owner
Location: Bangalore-Hybrid
Department: Analytics & Engineering
About the Company:
Kamakhya Analytics is a technology-driven research and consulting organisation helping leaders, parties, and institutions decode India's political and policy landscape. We bring together survey science, data analytics, and strategic insight to answer complex questions about public opinion, governance, and performance. From ground-level fieldwork to advanced modelling and interpretation, every project is built for clarity, accuracy, and impact. Our teams manage the complete research cycle, design, execution, data engineering, and delivery under a single framework of discipline, transparency, and speed. Quality and integrity define our work. We apply rigorous controls in sampling and verification, maintain secure and reproducible data systems, and communicate results that withstand scrutiny.
At Kamakhya, our mission is simple: turn evidence into strategy and insight into action.
Role Summary
We are looking for an experienced Technical Product Manager / Technical Product Owner to lead the planning, execution, and evolution of our data analytics and AI-enabled products and platforms. This role sits at the intersection of business strategy, technical execution, and delivery management.
You will work closely with Technical Leads, Engineering and Data teams, Project Managers, and business stakeholders to ensure that product requirements are well-defined, technically sound, and delivered with quality and predictability. You'll be equally comfortable writing a crisp PRD, running backlog grooming, discussing schema design with an engineer, and presenting roadmap trade-offs to leadership.
Key Responsibilities:
Experience and Qualifications:
Job ID: 150994623
Skills:
Java, Agile, Scrum, Python, Technical Documentation, Product Management, trading platforms, MS-SQL Server, Technical Writing
Skills:
.NET, Java, Kubernetes, Python, Go, Product Management Marketing
Skills:
Splunk, Agile Methodology, Machine Learning, Release planning, Sprint Planning, Confluence, Apis, Web Applications, Azure DevOps, Cloud Platforms, Ai, Analytics, Aha, Service-Based Architecture, Data Pipelines, Backlog Management
Skills:
AWS, Scrum, Azure, Gcp, Agile Methodologies, Product management, Kanban, Stakeholder Management, Hands-on software coding or scripting
Skills:
release management, Databricks, Python, Sql, AI implementation, Qa Processes, Azure-based cloud data infrastructure
We don’t charge any money for job offers