Technical Platform Expert - Denver

Legora Legora · Vertical AI · Denver, CO · Customer Enablement

This role is a technical authority for an AI-native legal workspace, focusing on deep technical escalations, root cause analysis of platform behavior, and ensuring the AI system performs as promised. The role involves validating the platform before release, detecting systemic issues, acting as an AI subject-matter expert on output patterns, and advocating for improvements to diagnostic tooling and observability. It requires understanding LLM failure modes and translating technical findings for product and engineering teams, with a focus on ensuring customer trust and product reliability.

What you'd actually do

  1. Own the hardest problems: Take the deepest technical escalations from across the function and drive them to root cause through rigorous log, data, and system-level analysis.
  2. Validate the platform before it ships: Support beta testing and pre-GA investigations. Identify where real platform behavior diverges from the spec, pressure-test workflows under real conditions, and deliver findings to Product Operations with clear reproduction steps before they become customer-facing incidents.
  3. Detect and declare systemic events: Identify when individual tickets share a common root cause and trigger coordinated incident response before volume makes the pattern undeniable. Own the signal that turns a cluster of cases into a declared Sev1 or Sev2 incident.
  4. Be the AI subject-matter expert: Serve as the expert on platform behavior and AI output patterns, including accuracy, retrieval quality, document processing, and anomalous output.
  5. Be the support function's voice in Product and Engineering: Bring the real-world pattern of platform failures into product reviews, release planning, and engineering discussions. Surface what the support tiers see that Product Operations does not, and advocate for the diagnostic tooling, observability improvements, and platform fixes that make the function faster and the product more reliable.

Skills

Required

  • deep technical support, solutions, or a platform-specialist role
  • rigorous about the root cause
  • logs, data, and systems analysis
  • understanding of LLM and AI system behavior and failure modes
  • clear technical communication
  • cross-functional collaboration
  • handling major escalations under pressure
  • pattern recognition across cases
  • diagnostic tooling and test framework development

Nice to have

  • legal AI
  • document processing
  • retrieval-augmented systems

What the JD emphasized

  • final technical authority
  • not writing code
  • without the software development scope of an engineer
  • deepest technical escalations
  • real platform behavior diverges from the spec
  • customer-facing incidents
  • AI output patterns
  • platform failures
  • diagnostic tooling, observability improvements, and platform fixes
  • technical root cause in incidents
  • technical investigation
  • understanding how LLM and AI systems behave, including how failure modes present to users

Other signals

  • AI-native workspace
  • analysing thousands of documents in minutes
  • powering end-to-end workflows
  • customer-facing incidents
  • AI output patterns
  • accuracy, retrieval quality, document processing, and anomalous output
  • diagnostic tooling, observability improvements, and platform fixes