--- title: 'Senior Enterprise Support Engineer (Remote) at Unframe' canonical: 'https://feeny.ai/job/senior-enterprise-support-engineer-remote-unframe-new-york-n3abtfkc1vh6' type: 'job' last_seen: '2026-10-18' --- # Senior Enterprise Support Engineer (Remote) at Unframe - **Company:** Unframe - **Location:** New York, NY - **Posted:** 2026-10-08 - **Last confirmed live:** 2026-10-18 - **Apply:** https://job-boards.eu.greenhouse.io/unframe/jobs/5000638101 ## Job description ## 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 Series B 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. Please note this role is focused on candidates located on the East Coast. ## What you'll do - 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. - 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. - 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. - Own the technical relationship for enterprise accounts, helping build Unframe’s support infrastructure, SLAs, incident escalation paths, and diagnostic runbooks. - 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: - 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. - Clear understanding of REST APIs, JSON payloads, webhooks, HTTP status codes, and browser DevTools. - Familiarity with enterprise authentication protocols (SSO, SAML 2.0, OAuth 2.0, Okta). - 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. ## About Unframe ## Company Overview - **One-liner**: Unframe is a Managed AI Delivery Platform that turns enterprise needs into production-ready, tailored AI solutions in days. - **Entity Type**: Private (Series A) - **Headquarters**: Cupertino, California, United States - **Founded**: 2024 - **Founders**: Shay Levi (CEO), Larissa Schneider (COO), Adi Azarya (VP R&D) ## Core Business - **Primary industry**: Enterprise AI / Managed AI Delivery - **Target customers**: Large enterprises across Financial Services, Manufacturing, Real Estate, Healthcare, Retail, Logistics, Insurance, Life Sciences, Telecommunications, Hospitality, and Media. Internal teams include Data Engineering, Operations, Finance, IT, Legal, and Sales. - **Mission or purpose**: "Reinvent software with AI — delivering secure, scalable, enterprise-grade AI solutions that integrate seamlessly with existing systems, enabling organizations to become truly AI-native." ## Products & Services - **Unframe AI OS**: An open, modular platform purpose-built for production-grade AI. Includes an Agent Orchestrator, Knowledge Fabric, AI-Native Data Warehouse, and Workflow Automation. Runs on any cloud, on-premises, or as fully managed SaaS, and is model-agnostic (supports any LLM without fine-tuning). - **Managed AI Solutions**: Unframe delivers fully tailored, end-to-end AI solutions for specific enterprise use cases (e.g., knowledge on-demand, data extraction, reporting, agents & automation). Solutions are assembled from pre-built building blocks in days, not months. - **The Framery**: An open platform that integrates with existing AI programs and core systems (ERPs, CRMs, cloud platforms, data warehouses, legacy systems). ## Market Standing - **Valuation/Market Cap**: Not disclosed - **Key Metric**: **Total Funding**: $88M (Seed: $20M in Dec 2024; Series A: $30M in April 2025 and $38M in Dec 2025) - **Notable Investors/Partners**: Bessemer Venture Partners, TLV Partners, Craft Ventures, Third Point Ventures, SentinelOne Ventures, Cerca Partners, Terra Nova Ventures. - **Growth Signals**: Emerged from stealth on April 3, 2025. Headcount grew from ~3 founders to **108 employees** in ~2 years (+403.8% YoY). Acquired Swish AI. Active job postings show a +240% quarterly increase. Operates across 10 countries (US, Israel, Germany, UK, France, Ukraine, Canada, Switzerland, Lithuania, Poland). Proven outcomes cited include a 30% lower record storage cost for a global bank and a 40% reduction in supply-driven stockouts for a F500 manufacturer. ## Competitive Advantages - **Speed to Value**: Solutions deployed in days, not months. - **Outcome-Based Model**: Low upfront risk; customers pay once value is demonstrated. - **Enterprise-Grade by Design**: Built-in governance, security, compliance, and observability. Deploy within customer's own boundaries (on-prem, private cloud). - **Modular & Flexible**: Pre-built, reusable building blocks (Building Blocks, Knowledge Fabric, Agent Orchestrator) that compound value across use cases. - **Deep Integration**: Connects seamlessly with existing enterprise systems (ERPs, CRMs, databases, APIs, files) and any LLM. - **Strong Founding Team**: Deep cybersecurity and enterprise background (ex-Dashlane, SentinelOne, Port.io). ## Strategic Focus - **Scaling the Go-To-Market**: Hiring aggressively across Sales (Strategic Account Executives, Channel Managers, BDRs) and GTM functions (GTM Engineer, GTM Recruiter). - **Geographic Expansion**: Building out EMEA and US sales teams, with offices already in Tel Aviv and Berlin. - **Product Expansion**: Continuously adding more use cases and building blocks to the platform, with the goal of moving from single use cases to company-wide AI transformation ("AI fabric"). - **Acquisition Integration**: Integrating Swish AI to expand capabilities and customer base. ## Why Work Here - **High-Growth Environment**: Headcount grew over 400% in the last year, indicating rapid scaling and career acceleration opportunities. - **Mission-Driven**: The company is at the forefront of enterprise AI adoption, working on complex, high-impact problems. - **Global & Remote-Friendly**: Operates in 10 countries. Many roles are listed as remote (e.g., Strategic Account Executive - Southern California/Philadelphia, GTM Engineer - EU Remote). Offices in Cupertino, Tel Aviv, and Berlin. - **Strong Engineering Culture**: Founded by experienced technical leaders. The product is deeply technical and innovative (modular, model-agnostic, enterprise-grade). The team includes many alumni from top tech companies and Israeli intelligence units. - **Culture**: Described as "ambitious, globally connected" with a belief that "great companies are built by great people building together." - **Active Hiring**: 85 active job postings (as of mid-2026), spanning Sales, Engineering, Product, Marketing, and GTM. This signals strong investment in talent. ## Sources 1. [unframe.ai](https://www.unframe.ai/) 2. [unframe.ai/careers](https://www.unframe.ai/careers) 3. [unframe.ai/ai-info](https://www.unframe.ai/ai-info) 4. [unframe.ai/about](https://www.unframe.ai/about) 5. 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