Technical Product Manager

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:

while also enabling them to:

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.

You likely have experience in:

• 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
• Compliance automation and governance platforms
• AI/ML-driven products, data platforms, or intelligent automation systems
• Multi-cloud environments (AWS, Azure, GCP, Digital Ocean)
• Security and compliance frameworks such as SOC 2, ISO 27001, CIS, NIST, and PCI DS
• Distributed systems and platform architecture

You should be strong in:

• Systems thinking and platform design
• Cloud security and governance fundamentals
• Security threat modeling and adversarial thinking
• Compliance and audit workflows
• AI-native product design and intelligent automation
• API design and integration architecture
• Working across product, engineering, customer success, security, and GTM team

You will design and build the core systems behind our platform, including:

• Cloud resource discovery and inventory management across multiple cloud providers
• Compliance assessment and continuous monitoring systems
• Security control validation and framework-to-control mapping
• Findings generation, risk categorization, and remediation workflows
• Historical compliance tracking and governance analytics
• 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
• Attack path analysis and adversarial modeling capabilities
• Threat prediction and security posture analysis systems
• Intelligent recommendations and decision-support workflows

• Evidence collection and audit artifact management
• Evidence traceability, lineage, and control mapping
• Audit readiness workflows and reporting systems
  
  Automated evidence generation and compliance documentation

• Agent-based workflows for compliance validation and security operations
• Autonomous remediation and orchestration capabilities
• Automated policy enforcement and governance controls
• Risk-based prioritization and workflow automation
• Secure cloud onboarding and integration experiences
• Multi-cloud integrations with AWS, Azure, GCP, and Digital Ocean
• Multi-tenant SaaS architecture and organizational isolation
• Identity, access management, and RBAC capabilities
• es Internal APIs and ecosystem integrations

• Executive compliance and security dashboards
• Compliance posture visualization and governance reporting
• 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
• Service-oriented and distributed systems architecture
• Secure data management and storage
• Reliability, performance, monitoring, and operational excellence
• APIs and integrations that power the ecosystem

• Product strategy and 3-5 year platform direction
• Compliance, governance, and security product roadmap
• AI-native security and compliance platform evolution
• Multi-cloud platform expansion strategy

• Service boundaries and platform evolution
• Data plane, control plane, and security architecture
• Security and compliance design standards
• Scalability, reliability, and operational excellence initiatives

• Category positioning in enterprise cybersecurity
• Cloud compliance and governance market strategy
• AI-native security operations and automation strategy
  
  Platform differentiation in the compliance automation and cloud security markets
• Customer, security team, and auditor experience improvements
• Build vs buy vs partner decisions across the portfolio

• Customers continuously monitor compliance posture across cloud environments
• Security risks, findings, and exposures are identified, prioritized, and contextualized automatically.
• Audit evidence is collected and organized with minimal manual effort
• Findings are actionable, traceable, and mapped to compliance requirements
• AI systems help…