The Role: We are looking for a Patch Management Domain Expert who has lived the pain of enterprise patching and remediation and wants to solve it for everyone. This is not an internal IT role. You will be the human exper…
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Full-time
Posted 3d ago
~40 hrs/week
Responsibilities
You will serve as a domain expert to guide the development of AI-based autonomous remediation agents by defining product requirements and integration strategies. You will map enterprise patching workflows and translate operational realities into clear processes for engineering and product teams.
Requirements
The role requires over 7 years of hands-on experience in enterprise patch management, software lifecycle management, and ITSM disciplines. Candidates must possess deep technical knowledge of endpoint management tools and the ability to operate effectively in a startup environment.
Full job description
The Role: We are looking for a Patch Management Domain Expert who has lived the pain of enterprise patching and remediation and wants to solve it for everyone.
This is not an internal IT role. You will be the human expert at the center of an AI agent product, the person who teaches our agents how enterprisesactually patch, where the process breaks down, and how remediation workflows can be safelyautomatedend to end.You'lltranslate hard-won operational knowledge, software management, patch orchestration, and ITSM discipline, into the research, product requirements, and integration strategy that make Kai's patching agents work in the real world.
The person who joins now will define how Kai's agents understand patching, not inherit someone else's playbook.
What You'll Bring:
Startup experience and hustle, comfortable operating in ambiguity and building from zero
7+ years of IT experience with deep, hands-on ownership of enterprise patch management and remediation programs
Demonstratedexpertisein IT software management, software inventory, packaging, deployment, licensing, and lifecycle management across a diverse application landscape
Strong ITSM discipline: hands-on experience with change management, incident/problem management, and ITIL-aligned processes
Hands-on experience with patch and endpoint management tooling (e.g., Intune,Jamf, SCCM/MECM, Tanium, WSUS, or equivalents) across mixed OS environments
Practical knowledge of vulnerability management and how patching connects to remediation and risk reduction
Deep understanding of why patching fails in production, dependencies, testing, rollback, maintenance windows, and change control
Ability to translate messy operational reality into clear processes, requirements, and documentation
Excellent communication skills and the ability to work across research, engineering, product, and customers
What You'll Do:
Partner with the product management team to define requirements for Kai's AI-based autonomous remediation capabilities
Research and define how enterprise remediation teamsactually deployupdates across workstations, production environments, servers, and applications
Map the differences in how patching is handled across these environments and capture the reasoning and risk tradeoffs behind each approach
Identifywhich tools remediation teams use and for what, clarifying the role of endpoint management, RMM, server patching, vulnerability management, and application update tooling, and where eachfitsin the lifecycle
Analyze how ITSM workflows arepracticed in reality, howchange management, approvals, maintenance windows, and rollbackactually happenday to day versus howthey'redocumented on paper
Document how the CMDB is used in practice, how asset and dependency data informs patch scoping, prioritization, and remediation decisions, and where that data is trustworthy or breaks down
Nice to Haves:
Experience integrating IT/security tools via APIs, or working closely with engineering on integration design.
Familiarity with ITSM platforms at the configuration/integration level (e.g., ServiceNow, Jira Service Management)
Experience with CMDB and asset management as they relate to patch scoping and prioritization
Exposure to AI/ML or agentic automation products, ora strong desireto work at the frontier of applied AI
Scripting or automation experience (Python, PowerShell, or Bash) for patch and remediation workflows
Familiarity with compliance frameworks such as SOC 2, ISO 27001, or FedRAMP as they relate to patch and vulnerability management
Relevant certifications: ITIL, Microsoft 365 Certified, CompTIA Security+, or equivalent
Kai is the AI company rebuilding cybersecurity for the machine-speed era. Founded by the creators of category-defining companies Claroty and SecurityMatters, and trusted by Fortune 500 enterprises, Kai is building a future where security has no categories, no silos, and no human-speed bottlenecks. The Kai Agentic AI Platform replaces fragmented, human-limited workflows with agentic AI systems that continuously contextualize, assess, reason, and execute security work at machine speed - making human defenders, superhuman.
Offices: 2 Embarcadero Center, San Francisco, California 94110, US · 90 Skyport Drive, Suite 200, San Jose, CA 95110, US
Kai is the AI company rebuilding cybersecurity for the machine-speed era. Founded by the creators of category-defining companies Claroty and SecurityMatters, and trusted by Fortune 500 enterprises, Kai is building a future where security has no categories, no silos, and no human-speed bottlenecks. The Kai Agentic AI Platform replaces fragmented, human-limited workflows with agentic AI systems that continuously contextualize, assess, reason, and execute security work at machine speed - making human defenders, superhuman.
Offices: 2 Embarcadero Center, San Francisco, California 94110, US · 90 Skyport Drive, Suite 200, San Jose, CA 95110, US