AI Product Manager – SaaS Supply Chain & Agent Access Risk

We’re looking for a Product Manager who understands the broader SaaS supply chain risks introduced by integrations, connectors, and third-party tools, and who has hands-on experience with agentic AI systems plus a strong grasp of the unique security risks they pose. In this role, you’ll treat AI agents as a new class of “super-integration” in the SaaS ecosystem and build products that give security teams robust guardrails while still enabling rapid innovation.

You’ll help define and deliver products that secure AI agents and 3rd-party integrations access to SaaS and tools. You will work cross-functionally with engineering, research, and security teams to turn technical innovation into customer-ready solutions.

Responsibilities

• Product Ownership & Execution
• Define the product vision and roadmap for AI agent and 3rd-party integrations access to SaaS apps, within Obsidian’s broader SaaS security platform.
• Collaborate with engineering on designing secure, scalable implementations.
• Manage the product lifecycle from ideation through launch and iteration.
• Model AI agent access as SaaS supply chain risk

• Treat AI agents, copilots, and automation tools as first-class identities in the SaaS supply chain: define how they are discovered, modeled, and risk-scored.
• Design risk models that combine permissions, OAuth grants, scopes, data access patterns, and blast radius for AI agents and other integrations.
• Specify detections and policies that surface risky behavior such as prompt injection–driven actions, data exfiltration attempts, over-privileged tools, and malicious or compromised integrations.
• Build end-to-end workflows for security teams

• Design workflows for discovery, assessment, approval, and continuous review of AI agents and SaaS integrations.
• Collaborate with design to present risks, recommendations, and remediations in a way that is clear to security, IT, and app owners.
• Integrate AI agent and supply chain risk signals into Obsidian’s alerts, investigations, and posture views so customers get a unified story of how AI and SaaS access interact.

• Customer & Market Research
• Conduct research with enterprise users and security practitioners to understand adoption barriers and risks.
• Track industry developments in agentic AI and AI security to inform the roadmap.
• Cross-Functional Collaboration
• Work with design, product marketing, and customer success to ensure successful product adoption.
• Translate highly technical AI/security concepts into clear product narratives for stakeholders.

Qualifications

• Required
• 2–5 years of product management experience in software or SaaS.
• Engineering or technical background (degree or equivalent experience in computer science, machine learning, or cybersecurity).
• Strong understanding of SaaS integration patterns (SSO/SCIM, OAuth, API keys, webhooks) and how they create third-party and supply chain risk.
• Conceptual grasp of key AI and SaaS security risks: prompt injection, data leakage, over-privileged agents, compromised connectors, and lateral movement via SaaS.
• Excellent communication skills and ability to bridge technical and business needs.
• Demonstrated track record of shipping impactful features end-to-end: discovery → spec → execution → launch → iteration.
• Preferred
• Experience in cybersecurity, SaaS security, identity & access management, or third-party risk management.
• Exposure to security or compliance frameworks (e.g., SOC 2, ISO 27001, NIST) and how they apply to SaaS and AI adoption.
• Contributions to open-source AI/security projects or research communities.