Principal Product Manager

We are looking for a Principal Product Manager (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. Rather than owning the entire platform strategy globally, you will take complete end-to-end ownership of specific high-impact modules, acting as the product authority for your module(s) while partnering closely with Engineering, Architecture, and Global Product leadership.

The core responsibilities for the job include the following:

Module Ownership:

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

Technical Collaboration:

• Work hands-on with engineering and architecture teams on system design.
• Contribute to discussions on distributed systems, latency constraints, real-time orchestration, and optimisation logic.
• Ensure strong API-first, developer-friendly design principles.

AI and Optimisation Integration:

• Integrate AI/ML models into module workflows.
• Drive continuous improvement through data feedback loops.
• Partner with data science teams to productionise 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, and customer impact.

Requirements:

• 8+ 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.
• Deep Technical Product Leader: You likely began your career in engineering, robotics, systems, or optimisation 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.

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.

Skills

AI, ML, distributed, distributed systems, machine learning, product