Product Engineering Leader

Dexian India; Chennai District; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Dexian India seeks an experienced leader to own the end-to-end product portfolio in AgriTech and digital platforms. This hands-on role combines product thinking with engineering ownership to deliver scalable, multi-client platforms.

You will act as Product Manager + Engineering Leader, driving the vision, roadmap, and releases within a lean, owner-driven team in Chennai. Strong technical depth and stakeholder management are essential.

Qualifications

• Product-based company experience (mandatory).
• Proven ownership of Product Vision + Engineering Delivery.
• End-to-end product lifecycle, release management & deployments.
• Experience building single codebase with configurable client layers.
• Hands-on in lean/startup environments.
• Strong stakeholder and execution capabilities.

Responsibilities

• 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.
• Drive end-to-end product lifecycle execution.
• Translate requirements into features, specs, and sprint outcomes.
• Own engineering execution, architecture direction, and delivery.
• Build scalable, modular, multi-tenant systems.
• Ensure customizations do not fragment product architecture.

Skills

Product ownership

Engineering delivery

Multi-tenant / SaaS

Architectural depth

Lean startup experience

Job description

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:

• 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
• Drive end-to-end product lifecycle execution
• Translate requirements into features, specs, and sprint outcomes
• Own engineering execution, architecture direction, and delivery
• Build scalable, modular, multi-tenant systems
• 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
• Engage with customers, field users, and domain experts
• Balance standardization vs customization
• 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:
• Testing, documentation, releases

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