Product Manager, Cybersecurity AI Platform

About the Role

This is a critical Product Manager, Cybersecurity AI Platform role at CredO, focusing on an embedded, security-critical, AI-driven system inside OEM fleets. You will work directly with the founder and the system architect to translate complex architectures, security protocols, and AI workflows into buildable product modules, clear engineering priorities, and deployable customer outcomes. This role is not a feature PM or a roadmap manager; it's about ensuring what is imagined gets built correctly and matches the architecture and customer reality, directly shaping the product, customers, and the company's future value.

Role Responsibilities

• Work with the founder and lead architect to understand system design, protocols, and security models, converting those into product boundaries, components, interfaces, and deliverables, and maintaining a living product map of how CredO actually works.
• Define what engineers are building, in what order, and why, breaking large system goals into milestones, major system checkpoints and deliverables, sprints, focused development cycles, and deployable product versions, while preventing scope creep and drift.
• Ensure all engineers are working on the same architecture, detecting when work is diverging from the intended design, and surfacing technical debt, risk, and rework early.
• Feed real-world constraints into product decisions, prioritization, and design trade-offs.
• Capture what the founder and architect are thinking, document it, and turn it into something the team can execute against.

Required Qualifications

• Proven experience working in deep-tech, infrastructure, or security products.
• Demonstrated understanding of architecture, not just UX or features.
• Ability to read, understand, and challenge technical designs.

Preferred Qualifications

• Experience reasoning about data flows, system boundaries, security layers, and AI pipelines.
• Comfort in communicating and collaborating effectively with engineers, architects, founders, and enterprise customers.

Good to Have

• Zero ego and a high degree of clarity in thought and communication.
• Deep technical curiosity and a drive to understand complex systems.

Key skills/competency

• Product Management
• Cybersecurity
• AI Platform
• System Architecture
• Technical Design
• Data Flows
• Security Protocols
• OEM Fleets
• Product Strategy
• Engineering Prioritization