We are hiring a Product Engineer to help build the next generation of an AI-native Cloud Security and Compliance platform. This is a high-impact role for someone who can operate across product, engineering, AI systems, cloud security, compliance, and platform architecture and help define both the platform and the category we are building. We are building a unified system that helps organizations: Discover cloud resources → Assess compliance posture → Generate findings → Collect evidence → Achieve audit readiness Understand security risk → Predict threats → Decide actions → Automate remediation This role exists to ensure we build that system correctly and create a scalable, secure, and enterprise-ready platform that simplifies cloud governance, compliance, security operations, and audit readiness across multi-cloud environments.

Enterprise

SaaS platforms or security product companies Cloud security, governance, compliance, or cyber risk management products Security domains such as IAM, cloud security, CSPM, CIEM, SIEM, EDR, exposure management, or vulnerability management AI/ML-driven products, data platforms, or intelligent automation systems Multi-cloud environments (AWS, Azure, GCP, DigitalOcean) AI-native product design and intelligent automation Data modeling for large-scale SaaS platforms Working across product, engineering, customer success, security, and GTM team Cloud resource discovery and inventory management across multiple cloud providers Findings generation, risk categorization, and remediation workflows AI-Driven Security Intelligence AI-powered security intelligence systems for risk scoring,



prioritization, prediction, and automation Security data graph connecting identities, assets, resources, controls, findings, exposures, and risk relationships Evidence collection and audit artifact management Automated policy enforcement and governance controls Risk-based prioritization and workflow automation Multi-cloud integrations with AWS, Azure, GCP, and DigitalOcean Multi-tenant SaaS architecture and organizational isolation Identity, access management, and RBAC capabilities Security risk and exposure analytics Trend analysis, historical reporting, and audit-ready reporting Platform observability and operational intelligence Scalable SaaS platform architecture for enterprise customers Secure data management and storage Reliability, performance, monitoring, and operational excellence You Will Also Help Define: Product strategy and 3–5 year platform direction AI-native security and compliance platform evolution Data plane, control plane, and security architecture Category positioning in enterprise cybersecurity AI-native security operations and automation strategy Customer, security team, and auditor experience improvements Customers continuously monitor compliance posture across cloud environments Security risks, findings, and exposures are identified, prioritized, and contextualized automatically. AI systems help security and compliance teams make faster, more informed decisions The platform becomes a category-defining solution at the intersection of cloud security, compliance automation, AI-driven risk management, and enterprise cybersecurity.

📌 Technical Product Marketing Manager (Toronto)
🏢 TAC Security
📍 Toronto