Unframe Inc.

An enterprise AI platform / Managed AI Delivery Platform that turns business needs into production-ready AI solutions built from modular components, with governance, security, compliance, and workflow automation built in.

Technology, Information and Internet
51-200
Founded 2024
$50M raised

Description

  • Lead technical engagements and de-escalation calls with enterprise executives, sponsors, and engineering teams.
  • Translate customer workflow needs into technical solutions and uncover recurring pain points.
  • Investigate, reproduce, and resolve incidents across web applications, REST APIs, webhooks, microservices, and databases.
  • Use SQL, cloud logs, JSON tracing, and source-code inspection to identify root causes.
  • Configure, test, and deploy AI agents using LLM and agentic coding tools for log analysis, triage, and knowledge-base development.
  • Own technical relationships, support infrastructure, SLAs, escalation paths, and diagnostic runbooks for enterprise accounts.
  • Partner with Product and Engineering to convert customer friction into product specifications, bug fixes, and enhancements.

Requirements

  • 4+ years of experience in technical support, support engineering, QA, solutions engineering, or a similar hands-on technical role.
  • Experience presenting to and advising enterprise stakeholders through live video calls.
  • Strong verbal and written communication, proactive ownership, and comfort handling ambiguous, high-stakes situations.
  • Hands-on proficiency writing SQL queries against relational and cloud databases.
  • Experience analyzing logs with CloudWatch, Datadog, Splunk, Grafana, or Loki.
  • Understanding of REST APIs, JSON payloads, webhooks, HTTP status codes, and browser DevTools.
  • Familiarity with SSO, SAML 2.0, OAuth 2.0, and Okta.
  • Daily experience using generative AI and agentic coding tools such as Claude Code, Cursor, ChatGPT, or Copilot.
  • Located on the U.S. East Coast.

Interested in this position?

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