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: Discover cloud resources → Assess compliance posture → Generate findings → Collect evidence → Achieve audit readiness 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. What We Are Looking For: 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, DigitalOcean) 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 Data modeling for large-scale SaaS platforms Working across product, engineering, customer success, security, and GTM team What You Will Do: You will design and build the core systems behind our platform, including: Compliance Assessment and Monitoring 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-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 Attack path analysis and adversarial modeling capabilities Threat prediction and security posture analysis systems Intelligent recommendations and decision-support workflows Evidence and Audit Readiness Evidence collection and audit artifact management Evidence traceability, lineage, and control mapping Audit readiness workflows and reporting systems Automated evidence generation and compliance documentation Autonomous Security Operations 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 Multi-Cloud Platform Services Secure cloud onboarding and integration experiences Multi-cloud integrations with AWS, Azure, GCP, and DigitalOcean Multi-tenant SaaS architecture and organizational isolation Identity, access management, and RBAC capabilities esInternal APIs and ecosystem integrations Reporting and Analytics 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 Platform Infrastructure 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 You Will Also Help Define: Product Strategy 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 Platform Architect Service boundaries and platform evolution Data plane, control plane, and security architecture Security and compliance design standards Scalability, reliability, and operational excellence initiatives Category and Market Position 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 What Success Looks Like: 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 security and compliance teams make faster, more informed decisions Autonomous workflows reduce manual governance and remediation effort The platform scales securely across multiple organizations and cloud providers Compliance teams, security teams, executives, and auditors can efficiently access the information they need. Organizations achieve stronger governance, improved security posture, and faster audit readiness. The platform becomes a category-defining solution at the intersection of cloud security, compliance automation, AI-driven risk management, and enterprise cybersecurity.

Design and build core systems for an AI-native cloud security and compliance platform, focusing on resource discovery, risk scoring, and audit readiness. Define the long-term product strategy, platform architecture, and market positioning for the category.

Requires extensive experience in enterprise SaaS, cloud security domains (CSPM, CIEM, SIEM), and AI-driven automation. Candidates must be proficient in multi-cloud environments and familiar with compliance frameworks like SOC 2, ISO 27001, and NIST.

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Cloud Security
• Compliance Automation
• AI/ML Product Design
• Platform Architecture
• Systems Thinking
• API Design
• Data Modeling
• Threat Modeling
• Multi-cloud Environments
• Distributed Systems
• Identity And Access Management
• Risk Management
• SaaS Architecture
• Governance Risk And Compliance
• Security Operations
• Product Strategy

• Software
• Security & Safety
• Technology
• Engineering
• Consulting

Expérience minimale

5+ ans

Postuler avant le

10 sept. 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Niveau d’expérience

Mid-Senior level

Mode de candidature

La candidature directe est offerte