Obsidian Security-posted 12 days ago
$154,000 - $207,000/Yr
Full-time • Entry Level
Palo Alto, CA
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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! We are seeking a Product Manager with hands-on expertise in agentic AI systems and a solid understanding of the security risks unique to AI agents. This role is ideal for someone early in their product management career (1–3 years) who brings a technical background in AI or security and is ready to take on meaningful ownership of product initiatives. You’ll help define and deliver products that secure AI agents access to SaaS and tools. You will work cross-functionally with engineering, research, and security teams to turn technical innovation into customer-ready solutions.

  • Define and prioritize product requirements and user stories for AI agent–driven features.
  • Collaborate with engineering on designing secure, scalable implementations.
  • Manage the product lifecycle from ideation through launch and iteration.
  • Anticipate and document security vulnerabilities in AI agents (e.g., prompt injection, data leakage, adversarial inputs, unauthorized actions).
  • Partner with security and compliance teams to design controls and safeguards.
  • Stay current on emerging AI governance, red-teaming, and regulatory frameworks.
  • 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.
  • 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.
  • 1–3 years of product management experience in software or SaaS.
  • Engineering or technical background (degree or equivalent experience in computer science, machine learning, or cybersecurity).
  • Demonstrated knowledge of agentic AI systems (e.g., LLM-based agents, orchestration frameworks, autonomous workflows).
  • Strong understanding of AI security risks (e.g., prompt injection, privilege escalation, model manipulation, compliance gaps).
  • Excellent communication skills and ability to bridge technical and business needs.
  • Experience in cybersecurity or AI risk research.
  • Familiarity with enterprise SaaS, SOC workflows, or compliance frameworks.
  • Contributions to open-source AI/security projects or research communities.
  • 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
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