7+ years of IT experience in enterprise patch management and remediation programs
Strong ITSM discipline with hands-on experience in change management and ITIL processes
Expertise in IT software management, including deployment and lifecycle management
Hands-on experience with patch management tools across mixed OS environments
Deep understanding of patching failures and remediation workflows
Ability to translate operational realities into clear processes and documentation
Excellent communication skills for cross-functional collaboration
Responsibilities
Partner with product management to define AI-based remediation requirements
Research and document real-world deployment of updates across various environments
Map and analyze differences in patching approaches and associated risks
Identify and clarify the roles of various remediation tools in the lifecycle
Analyze actual ITSM workflows versus documented processes
Document practical use of CMDB for patch scoping and prioritization
Benefits
Opportunity to shape the future of AI-driven patch management
Work at the intersection of IT operations and cutting-edge technology
Collaborative environment with cross-functional teams
Chance to influence product development from the ground up
Engagement in a startup culture that values innovation and agility
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 enterprises actually patch, where the process breaks down, and how remediation workflows can be safely automated end to end. You'll translate 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
Demonstrated expertise in 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 teams actually deploy updates 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
Identify which tools remediation teams use and for what, clarifying the role of endpoint management, RMM, server patching, vulnerability management, and application update tooling, and where each fits in the lifecycle
Analyze how ITSM workflows are practiced in reality, how change management, approvals, maintenance windows, and rollback actually happen day to day versus how they're documented 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, or a strong desire to 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
