Senior Enterprise Support Engineer

🕒 October 8

🗽 New York – Remote

🗽 New York – Remote

⏰ Full Time

🟠 Senior

📞 Support Engineer

👻 Ghost score 19%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 36 days.
• Jobs at this company usually fill in 21 days.
• No salary listed.

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Unframe

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2024

💼 Consulting

📦 Logistics

📣 Marketing

💰 $30M Series A on 2025-05

Consulting • Logistics • Marketing

Unframe is an enterprise AI software company that provides an open AI OS to turn operational data and workflows into production-grade, agentic AI solutions. Their platform combines an Agent Orchestrator, Knowledge Fabric, and an AI-native data warehouse to unify fragmented enterprise data, integrate with ERPs/CRMs and any LLM, and deliver governed, auditable AI workflows across industries. Unframe offers managed AI transformation and modular SaaS building blocks to deploy mission-critical AI use cases quickly and at scale.

📋 Description

• Lead enterprise client engagements and provide technical and consultative guidance during live video calls • Uncover workflow pain points and translate business requirements into technical solutions • Handle high-stakes account de-escalations with enterprise executives and engineering leaders • Investigate, reproduce, and resolve production incidents across web applications, REST APIs, webhooks, microservices, and databases • Query SQL databases, analyze CloudWatch/Datadog/Splunk logs, trace JSON payloads, and inspect GitHub source code to identify root causes • Configure, test, and deploy autonomous AI agents to analyze logs, automate triage workflows, and build self-service knowledge bases • Own technical relationships for enterprise accounts • Help establish support infrastructure, SLAs, incident escalation paths, and diagnostic runbooks • Partner with Product and Engineering leadership to turn recurring customer issues into product specifications, bug fixes, and feature enhancements

🎯 Requirements

• 4+ years of experience in technical support, support engineering, QA, solutions engineering, or a similar hands-on technical role • Proven experience presenting to and advising enterprise stakeholders on live video calls • Clear verbal and written communication skills • High energy, proactive communication, and willingness to handle ambiguous situations • Personal accountability for client outcomes • Hands-on proficiency writing SQL queries to inspect relational and cloud databases • Practical experience conducting cloud log analysis in CloudWatch, Datadog, Splunk, Grafana, or Loki • Understanding of REST APIs, JSON payloads, webhooks, HTTP status codes, and browser DevTools • Familiarity with enterprise authentication protocols including SSO, SAML 2.0, OAuth 2.0, and Okta • Active daily practice with generative AI and agentic coding tools including Claude Code, Cursor, ChatGPT, and Copilot

🏖️ Benefits

• Exposure to complex enterprise environments, cutting-edge AI products, and fast product cycles • Real ownership and direct impact from day one • Opportunity to grow quickly and learn how large-scale AI systems are deployed • Opportunity to help shape the experience of major enterprise customers

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