AI Product Manager – Saas Supply Chain & Agent Access Risk

AI Product Manager – SaaS Supply Chain & Agent Access Risk

Founded in 2017, Obsidian Security was created to close a critical gap: securing the SaaS applications where modern business happens—platforms like Microsoft 365, Salesforce, and hundreds more.

Backed by top investors including Greylock, Norwest Venture Partners, and IVP, we've built a complete SaaS security platform to reduce risk, detect and respond to threats, and prevent breaches at the source. Our team includes leaders who helped define the categories of endpoint and identity security at CrowdStrike, Okta, Cylance, and Carbon Black.

Now, we're transforming how SaaS is secured—in the era of agentic AI.

Today, Obsidian is trusted by global enterprises like Snowflake, T-Mobile, and Pure Storage. We protect more than 200 organizations across North America, Europe, the Middle East, Southeast Asia, Australia, and New Zealand—including many of the world's largest Fortune 1000 and Global 2000 companies.

With strong global momentum, a growing partner ecosystem including SentinelOne, Databricks, and Google Cloud, and a major fundraise on the horizon, we're scaling quickly toward long-term growth and IPO readiness. Join us as we define the future of SaaS security!

Responsibilities

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.

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.
• Strong understanding of SaaS integration patterns 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.

Preferred

• Experience in cybersecurity, SaaS security, identity & access management, or third-party risk management.
• Exposure to security or compliance frameworks and how they apply to SaaS and AI adoption.
• Contributions to open-source AI/security projects or research communities.

Employee Benefits

Our competitive benefits packages are designed to support our employees' well-being, both at work and at home. Our US based employees enjoy:

• Competitive compensation with equity and 401k
• Comprehensive healthcare with dental and vision coverage
• Flexible paid time off and paid holiday time off
• 12 weeks of new parent or family leave
• Personal and professional development resources

Base Salary Range

$197,000 - $231,000 USD