
WitnessAI is building the guardrails that make AI safe, productive, and usable. Our platform allows enterprises to innovate and enjoy the power of generative AI, without losing control, privacy, or…

WitnessAI is building the guardrails that make AI safe, productive, and usable. Our platform allows enterprises to innovate and enjoy the power of generative AI, without losing control, privacy, or…
Product: AI security and governance platform for enterprise AI (visibility, policy control, runtime protection)
Founded: May 2023
Headquarters: Mountain View, California
Employees: 61
Total funding (reported): ≈ $27.5M + $58M (multiple rounds)
Commercial launch: October 22, 2024
Enterprise AI security, governance, and safe adoption of generative AI
2023
Cybersecurity / AI security
$27.5M
Reported May 21, 2024
$58M
Participants include Fin Capital, Samsung Ventures, Qualcomm Ventures, Forgepoint Capital Partners, and existing investors
“Backed by strategic VC and corporate investors including GV, Ballistic Ventures, Sound Ventures, Samsung Ventures, Qualcomm Ventures, and Forgepoint Capital Partners”
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Job Title: Staff DevOps Engineer
Location: Mountain View, CA - Hybrid 2 days/week in office
About Us:
WitnessAI is the unified AI security and governance platform enterprises trust to govern and protect all AI activity. We provide complete, network-level visibility into every interaction including employees and autonomous agents, even in native apps where legacy tools are blind. Unlike security that relies on outdated keywords, our platform understands intent, enabling intelligent policies that stop novel threats like prompt injection while empowering productivity. WitnessAI transforms security from a bottleneck into the enabler of your AI strategy as the confidence layer for enterprise AI.
About The Role:
High-impact individual contributor role at the intersection of cloud infrastructure, developer experience, AI-augmented tooling, and platform security. You will own architecture and operations of a large-scale multi-tenant SaaS platform across AWS and GCP, partner directly with product engineering teams on new service design, and work autonomously from ambiguous problem to production solution.
Responsibilities:
Required Qualifications:
Preferred:
Benefits:
Salary:
$234,000-$257,000 (The exact salary will be determined based on the selected candidate’s location, qualifications, experience, and relevant skills.)
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