Principal Product Manager

GreyOrange, Inc.; Gurugram District; On-site; INR 4,000,000 - 5,600,000; Full time

Job summary

GreyOrange is seeking an Associate Director – Product Management (Module Lead) to own and scale one or more critical modules within the GreyMatter Multiagent Orchestration platform. This role is ideal for a deeply technical product leader who thrives in complex distributed systems environments and will take complete end-to-end ownership of specific high-impact modules.

You will act as the product authority for your module(s), partnering closely with Engineering, Architecture, and Global Product

Qualifications

• 10+ years in Product Management or Technical Product roles.
• 5+ years on platform, robotics, industrial AI, or deep-tech SaaS products.
• Experience owning complex distributed system modules.
• Strong understanding of AI/ML workflows and real-time data systems.
• Experience with APIs, SDKs, and platform components.
• Exposure to optimisation algorithms, multi-agent systems, or swarm intelligence.
• Leadership mentoring PMs or small product pods.
• Cross-functional execution experience.

Responsibilities

• Define and execute roadmap for the assigned GreyMatter modules.
• Own feature prioritization, technical trade-offs, and release planning.
• Ensure scalability, performance, and reliability at enterprise scale.
• Work hands-on with Engineering and Architecture on system design.
• Contribute to discussions around distributed systems, latency constraints, real-time orchestration, and optimization logic.
• Ensure API-first, developer-friendly design principles.
• Integrate AI/ML models into module workflows.
• Drive continuous improvement through data feedback loops and productionize models.
• Partner with US-based Product and Customer teams to align on roadmap priorities.
• Mentor PMs; define PRDs, success metrics, and release outcomes.
• Own module-level KPIs (performance, stability, adoption, customer impact).

Skills

Product management

Technical leadership

AI/ML workflows

Real-time data

APIs & SDKs

Platform components

Optimization algorithms

Multi-agent systems

Swarm intelligence

Systems thinking

Cross-functional collaboration

Job description

About GreyOrange

GreyOrange is a global leader in AI-driven robotic automation software and hardware, transforming distribution and fulfillment centers worldwide. Our GreyMatter platform powers real-time orchestration across robotic fleets, enabling enterprises to reduce cost per unit, improve fulfillment speed, and scale intelligently.

About GreyOrange

GreyOrange is a global leader in AI-driven robotic automation software and hardware, transforming distribution and fulfillment centers worldwide. Our GreyMatter platform powers real-time orchestration across robotic fleets, enabling enterprises to reduce cost per unit, improve fulfillment speed, and scale intelligently.

With deployments across 70+ global sites and 700+ robots at single locations, GreyOrange operates one of the most sophisticated real-time orchestration platforms in industrial automation.

About The Role

We are looking for an Associate Director ? Product Management (Module Lead) to own and scale one or more critical modules within the GreyMatter Multiagent Orchestration platform.

This role is ideal for a deeply technical product leader who thrives in complex distributed systems environments. You will not own the entire platform strategy globally ? instead, you will take complete end-to-end ownership of specific high-impact modules

You will act as the product authority for your module(s), partnering closely with Engineering, Architecture, and Global Product leadership.

Key Responsibilities

Module Ownership

• Define and execute the roadmap for the assigned GreyMatter modules.
• Own feature prioritization, technical trade-offs, and release planning.
• Ensure scalability, performance, and reliability at enterprise scale.

Technical Collaboration

• Work hands-on with the Engineering and Architecture teams on system design.
• Contribute to discussions around distributed systems, latency constraints, real-time orchestration, and optimization logic.
• Ensure strong API-first, developer-friendly design principles.

AI & Optimisation Integration

• Integrate AI/ML models into module workflows.
• Drive continuous improvement through data feedback loops.
• Partner with Data Science teams to productionize models in real-time environments.

Global Stakeholder Alignment

• Work closely with US-based Product and Customer teams to align on roadmap priorities.
• Translate field deployment feedback into product enhancements.
• Support pre-sales conversations for module-specific deep dives when required.

Execution Leadership

• Mentor and guide PMs or APMs within the module scope.
• Drive clarity in PRDs, success metrics, and release outcomes.
• Own module-level KPIs (performance, stability, adoption, customer impact).

Who You Are

Deep Technical Product Leader: You likely began in Engineering, Robotics, Systems, or Optimization before moving into Product. You are comfortable diving into algorithm complexity, distributed system trade-offs, and system bottlenecks.

Systems Thinker: You understand cloud-native architecture, real-time systems, and hardware-software integration. You can reason about scale, latency, and performance constraints.

Strong Executor: You can break complex platform problems into modular roadmaps and deliver iteratively without compromising long-term architecture integrity.

Cross-Functional Collaborator: You work effectively across time zones and influence stakeholders without direct authority.

Requirements

• Experience: 10+ years in Product Management or Technical Product roles. 5+ years working on platform, robotics, industrial AI, or deep-tech SaaS products. Experience owning complex distributed system modules
• Technical Expertise: Strong understanding of AI/ML workflows and real-time data systems. Experience with APIs, SDKs, and platform components. Exposure to optimisation algorithms, multi-agent systems, or swarm intelligence is a strong plus
• Leadership: Experience mentoring PMs or leading small product pods. Strong cross-functional execution experience