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!
Obsidian Security is seeking a skilled product manager with deep expertise in cybersecurity and a passion for artificial intelligence (AI) to lead the development of cutting-edge security products. You will help customers solve fast-growing SaaS security problems by developing and executing a strategic roadmap, collaborating closely with engineering teams to deliver innovative AI-driven solutions. You will work closely with data scientists, security researchers, engineers, and customers to bring innovative AI-powered features to market. This is a highly strategic role with a direct impact on the safety and resilience of digital ecosystems across industries.
Key Responsibilities:
- Own product strategy and roadmap for AI-based cybersecurity products (e.g., threat detection, behavior analytics, anomaly detection, threat intelligence, etc.).
- Partner with engineering, data science, and threat research teams to design and develop scalable and effective security solutions.
- Conduct extensive market research to understand customer pain points, emerging trends, and the competitive landscape in SaaS security, with a focus on identity and data security.
- Define and monitor product success metrics (e.g., threat detection efficacy, false positives, model performance, customer adoption).
- Develop a compelling product strategy and roadmap that aligns with the company's mission to secure SaaS environments.
- Collaborate with cross-functional teams to create user-centric product solutions that prioritize usability and security outcomes.
- Engage with customers, partners, and internal stakeholders to gather feedback and validate product concepts.
- Act as a product evangelist, effectively communicating the value proposition to customers, partners, and internal teams.
Minimum Qualifications:
- 6+ years of product management experience, with at least 2–3 years in cybersecurity and/or AI/ML-focused products.
- Solid understanding of cybersecurity frameworks (Zero Trust, etc.).
- Experience with AI/ML technologies: anomaly detection, supervised/unsupervised learning, NLP/LLMs, graph analytics, etc.
- Strong communication skills — bridging the gap between technical teams and business stakeholders.
- Proven ability to manage product lifecycle from ideation through launch and iteration.
- Ability to adapt and work in a fast-moving environment.
Preferred Qualifications:
- Familiarity with SIEM, SOAR, EDR/XDR, IAM, or cloud security products.
- Experience in handling data privacy, model governance, and adversarial attacks on AI systems.
- Background working in a B2B SaaS, cybersecurity vendor, or enterprise security team.
- Hands-on experience in identity security, access management, or data governance.
- Prior experience in an enterprise security team with a strong understanding of enterprise security needs, workflows, and key stakeholders.
- Experience bringing security products to market, including go-to-market strategy and customer engagement.