Senior Enterprise Support Engineer (Remote)
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 24d ago
The date the source published, not the day we noticed it (2026-09-07). Last seen at its source 1h ago.
We have tracked this listing since 7 Sep 2026 (24 days). The employer's own board has carried it every time we have read it, most recently 1 hour ago.
Is it remote?
The listing says yes
The location field doesn't say remote, so our assessment is based on the title or the description. Read the listing before applying.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $156.6k–212.6k/yr
Middle 50% of 1271 listings that do state pay — Engineering · Senior · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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greenhouse employer's own board first seen 24d ago · last seen 1h ago
The listing
About Unframe
Unframe is an AI-first startup helping the world’s largest enterprises bring LLM-powered applications to life in days - not months. We combine the speed of a product company with the flexibility of a consultancy, helping customers move from idea to deployed AI systems faster than anyone else in the market.
Backed by Bessemer, Craft, and TLV Partners with $100M in total funding, we’re building a fast-growing, revenue-generating company working with Fortune 500 customers globally.
About the role
We are seeking an energetic, high-proactivity Senior Enterprise Support Engineer to serve as the primary technical advisor and face of Unframe for our enterprise clients. This is not a back-office, ticket-routing support role; you will be a core member of our customer-facing technical team, executing across cloud/API forensics, executive client advisory, and AI agent orchestration.
This role is for someone technical, curious, and service-oriented, who wants to be close to customers, product, and AI implementation at enterprise scale. You will own client technical issues end-to-end, drive live strategy and de-escalation video calls with Fortune 500 C-suite and engineering leaders, and independently perform log and code forensics to free up our core engineering team. As our US anchor hire, you will also help establish our technical support playbooks, SLAs, and customer feedback loops.
What you'll do
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Proactively lead enterprise client engagements. Bringing high energy, technical authority, and consultative presence to live video calls with bank executives, enterprise sponsors, and client engineering leads. Actively uncover workflow pain points, translate business requirements into technical solutions, and handle high-stakes account de-escalations with professional poise.
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Independently investigate, reproduce, and resolve production incidents across web applications, REST APIs, webhooks, microservices, and databases. Query SQL databases, parse CloudWatch/Datadog/Splunk logs, trace JSON payloads, and inspect source code in GitHub to isolate root causes before involving core engineering.
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Act as an "AI Support Orchestrator." Configuring, testing, and deploying autonomous AI agents (using Claude Code, Cursor, Copilot, and LLM APIs) to analyze logs, automate triage workflows, and build self-service knowledge bases.
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Own the technical relationship for enterprise accounts, helping build Unframe’s support infrastructure, SLAs, incident escalation paths, and diagnostic runbooks.
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Partner closely with Product and Engineering leadership to turn recurring customer friction into actionable product specs, bug fixes, and feature enhancements.
What we're looking for
- 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 with clear verbal and written communication skills.
- High energy, proactive communication, and zero hesitation to jump into ambiguous situations. You take personal accountability for client outcomes rather than waiting for direction or escalating to engineering.
- Diagnostic Tech Stack:
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Hands-on proficiency writing SQL queries to inspect relational and cloud databases.
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Practical experience conducting cloud log analysis in CloudWatch, Datadog, Splunk, Grafana, or Loki.
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Clear understanding of REST APIs, JSON payloads, webhooks, HTTP status codes, and browser DevTools.
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Familiarity with enterprise authentication protocols (SSO, SAML 2.0, OAuth 2.0, Okta).
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- Active daily practitioner of generative AI and agentic coding tools (Claude Code, Cursor, ChatGPT, Copilot) for log parsing, code navigation, and workflow automation.
Why join us?
This role is a great fit for someone who enjoys solving real technical problems while working closely with customers, product, and engineering teams. You’ll be exposed to complex enterprise environments, cutting-edge AI products, and fast product cycles with real ownership and direct impact from day one. It’s an opportunity to grow quickly, learn how large-scale AI systems are deployed in the real world, and help shape the experience of some of the world’s biggest companies using Unframe.