Unframe

Develop full-stack AI applications on Unframe’s platform, extend its platform and user experience, and integrate AI solutions into production with enterprise customers and internal teams. | Requires five or more years of software engineering, end-to-end user-facing product delivery, proficiency in JavaScript, Node.js, React or Vue, and PostgreSQL, plus strong communication and product ownership. | 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. With over $100M in TCV secured within 12 months, and a new $50M Series B led by Highland Europe, Unframe is rapidly scaling globally alongside Fortune 500 customers, backed by Bessemer, Craft, and TLV. About the role: As a Full Stack Software Engineer, you’ll work across the stack to design, implement, and ship high-quality workflows that solve real problems for real users. You’ll collaborate directly with product and enterprise customers, see your code in production within days, and be part of a team that values ownership and thoughtful execution. This role is Remote on the East Coast. What you’ll do: Develop and deliver full-stack AI-powered applications on top of Unframe’s platform. Work closely with customers and internal teams to tailor solutions. Extend the platform and UI/UX layer as needed. Collaborate with platform and research teams to integrate AI capabilities into production use. Write clean, tested, and maintainable code. What we are looking for: 5 + years of hands-on software-engineering experience. Proven record of shipping real user-facing products end-to-end. Proficiency with JavaScript, Node.js, Vue\React and PostgreSQL. Strong communication skills and a product mindset. Ownership mentality - comfortable taking a feature from idea to production. Nice to Have: Experience working with AI or LLM-based applications. Experience working with B2B or enterprise customers. Why join us? Real ownership from day one. Drive decisions, shape ideas and make them work. Your fastest learning years. Build alongside founders and VPs in a space that moves weekly. You'll have the opportunity to write and build what comes next.

You will advise enterprise clients, investigate technical issues through log and code forensics, and use autonomous AI agents to improve support triage and infrastructure. | The role requires 4+ years in technical support or a similar hands-on role, strong executive communication, and proficiency in SQL, cloud log analysis, REST APIs, and generative AI coding tools. | 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.

Investigate and resolve technical issues for enterprise customers using AI-powered solutions. | Requires 4+ years technical support or engineering experience, strong troubleshooting skills, and familiarity with AI tools and web applications. | 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're looking for a Support Engineer to join our team and support large global enterprise customers using Unframe's AI-powered solutions. You'll work closely with Product and Engineering to investigate issues, communicate clearly with customers, and help improve the product based on real-world usage. The expectation is that you'll be able to go deep on technical issues independently, using AI tooling to investigate logs, understand system behavior, and reach conclusions without needing to pull in an engineer every time. This role is for someone technical, curious, and service-oriented, who wants to be close to customers, product, and AI implementation at enterprise scale. What You'll Do - Investigate and resolve technical issues reported by enterprise customers, owning the issue from triage to resolution. - Analyze logs, reproduce issues, and dig into system behavior to identify root causes before escalating to Engineering. - Use AI tools actively as part of your investigation workflow, to speed up analysis, understand unfamiliar parts of the product, and document findings. - Communicate clearly with customers and internal teams throughout the support process. - Document issues, solutions, and recurring patterns to build institutional knowledge across a growing set of customer solutions. - Contribute to internal knowledge bases and playbooks that help the team handle new solutions faster. - Share customer feedback and product insights with the Product team. What We're Looking For - 4+ years of experience in technical support, support engineering, QA, solutions engineering, or a similar hands-on technical role. - Strong troubleshooting instincts and the ability to investigate complex technical issues independently. - Good understanding of web applications, APIs, integrations, logs, and basic system behavior. - Hands-on with AI tools (ChatGPT, Claude, Copilot, or similar) and comfortable using them as part of day-to-day technical work. - Excellent written and spoken English. - Customer-first mindset with strong ownership and follow-through. - Ability to work in a fast-paced environment with a wide variety of products and customer contexts. 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.

Investigate and resolve technical issues for enterprise customers using AI-powered solutions. | 4+ years technical support or similar experience, strong troubleshooting skills, familiarity with web apps and APIs, and use of AI tools. | 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're looking for a Support Engineer to join our team and support large global enterprise customers using Unframe's AI-powered solutions. You'll work closely with Product and Engineering to investigate issues, communicate clearly with customers, and help improve the product based on real-world usage. The expectation is that you'll be able to go deep on technical issues independently, using AI tooling to investigate logs, understand system behavior, and reach conclusions without needing to pull in an engineer every time. This role is for someone technical, curious, and service-oriented, who wants to be close to customers, product, and AI implementation at enterprise scale. What you'll do - Investigate and resolve technical issues reported by enterprise customers, owning the issue from triage to resolution. - Analyze logs, reproduce issues, and dig into system behavior to identify root causes before escalating to Engineering. - Use AI tools actively as part of your investigation workflow, to speed up analysis, understand unfamiliar parts of the product, and document findings. - Communicate clearly with customers and internal teams throughout the support process. - Document issues, solutions, and recurring patterns to build institutional knowledge across a growing set of customer solutions. - Contribute to internal knowledge bases and playbooks that help the team handle new solutions faster. - Share customer feedback and product insights with the Product team. What we're looking for - 4+ years of experience in technical support, support engineering, QA, solutions engineering, or a similar hands-on technical role. - Strong troubleshooting instincts and the ability to investigate complex technical issues independently. - Good understanding of web applications, APIs, integrations, logs, and basic system behavior. - Hands-on with AI tools (ChatGPT, Claude, Copilot, or similar) and comfortable using them as part of day-to-day technical work. - Excellent written and spoken English. - Customer-first mindset with strong ownership and follow-through. - Ability to work in a fast-paced environment with a wide variety of products and customer contexts. 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.