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Metro location plus broad technical and LLM skill needs increase candidate competition despite smaller brand.
Requires LLM production experience and enterprise/regulatory domain knowledge, limiting cross-industry transferability.
Role lacks explicit years but requires specific LLM, observability, and customer-facing technical skills.
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Diagnose and resolve technical issues in integrations, APIs, and distributed workflows for customers using agentic AI production systems.
Serve as the technical liaison between customers and engineering by providing clear reproduction steps, context, and escalation for product bugs or configuration issues.
Create documentation and tools to build an evolving knowledge base and proactively contribute product improvements based on customer feedback patterns.
Experience interpreting code, APIs, logs, and debugging distributed systems to identify technical issues.
Working knowledge of Large Language Models (LLMs), including understanding their failure modes like hallucinations and prompt problems.
Prior customer-facing technical experience at an early-stage technology company or similar environment.
Technical proficiency with troubleshooting, comfortable working asynchronously across time zones; specific notice period not explicitly mentioned.
Demonstrates systems thinking with the ability to communicate complex technical details effectively to both technical and non-technical stakeholders.
Thrives in ambiguous, zero-to-one problem-solving environments without a predefined support playbook.
Has experience or strong familiarity with AI/ML products involving LLMs and possibly financial services or enterprise operations requiring operational rigor.