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Job Description
Structured overview of role & requirementsAbout This Role
Improve accuracy and trustworthiness of AI investigation agents to reduce manual re-checks and operational toil.
Expand and safely automate remediation playbooks with staged autonomy, including fail-safes and approval flows to protect production.
Develop and maintain evaluation benchmarks, fault-injection tests, and platform interfaces to ensure reliability and foster cross-team adoption.
Minimum Requirements
Demonstrated experience with operational toil management such as incident ownership or support escalation roles.
Proven ability to eliminate recurring operational problems by removing root causes, not just speeding up processes.
Experience using AI-native workflows and building autonomous or semi-autonomous agent systems with safety guardrails.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Operates effectively within a high-rigor, mature codebase and contributes improvements without rewriting from scratch.
Understands and designs systems with clear failure modes, blast-radius controls, rollback paths, and safety-first principles for production autonomous agents.
Focuses on long-term adoption and measurable impact of automation tools across teams beyond reliability domain.
