Product Engineering Leader

Role Summary:
Own and drive the end-to-end product portfolio (AgriTech + Digital Platforms) with full accountability for product vision, engineering execution, and releases.
This is a hands-on leadership (player-coach) role in a lean environment, combining product thinking with deep engineering ownership to build scalable, multi-client platforms. The role requires a builder mindset, leveraging AI-driven development approaches to accelerate innovation.
Role Ownership (Clear Accountability):
Owns: Product Vision, Roadmap, Features, Engineering Execution, Releases
Owns: Engineering team outcomes (quality, timelines, scalability)
Drives: Architecture for single codebase with multi-client configuration
Balances: Core product integrity vs client-specific customization
Key Responsibilities:
1. Product Vision & Portfolio Strategy
Define and own product vision across AgriTech and digital platforms
Identify market/customer needs and convert into product opportunities
Drive feature prioritization and roadmap
Align product direction with business outcomes and scalability
2. Product Development (Idea → Build)
Drive end-to-end product lifecycle execution
Translate requirements into features, specs, and sprint outcomes
Ensure agile, high-speed, continuous delivery
3. Engineering Ownership
Own engineering execution, architecture direction, and delivery
Build scalable, modular, multi-tenant systems
Enforce strong discipline: performance, quality, security, scalability
Ensure customizations do not fragment product architecture
4. Release, Versioning & Deployment
Own release planning, versioning, and deployment strategy
Manage multi-client deployments and upgrades
Drive release governance, predictability, and quality
5. Customer & Market Alignment
Engage with customers, field users, and domain experts
Build continuous feedback → enhancement → release loop
Balance standardization vs customization
6. Lean Leadership (Player-Coach)
Operate in a lean team with high ownership
Act as Product Manager + Engineering Leader + Release Owner
Drive execution without dependency on large hierarchies
7. AI-Driven Product Acceleration
Use Agentic AI / GenAI for:
Requirement discovery & prototyping
Engineering productivity
Testing, documentation, releases
Champion AI-first development practices
Must-Have Requirements:
Product-based company experience (mandatory)
Proven ownership of Product Vision + Engineering Delivery
Strong experience in:
End-to-end product lifecycle
Release management, versioning, deployments
Multi-tenant / SaaS / platform-based systems
Strong technical depth (architecture + engineering decisions)
Experience building single codebase with configurable client layers
Hands-on in lean/startup environments
Strong stakeholder and execution capabilities
Good-to-Have:
AgriTech / Government platforms / Digital Public Infrastructure
Exposure to AI/ML, IoT, GIS, Data platforms
India-scale deployments (Govt / large users)
Agentic AI-based development workflows

Work arrangement
No