About The Role

Join our Go-To-Market (GTM) organization as an AI GTM Developer. In this unique engineering role, you will build internal applications that enhance the effectiveness of our Solutions Engineering, Sales, and Marketing teams. You will collaborate directly with GTM leaders to identify business challenges, prototype AI-driven solutions, and develop a portfolio of internal AI products. This role offers the opportunity to make an immediate impact on team operations and leverage AI for rapid development.

Design and build internal applications and AI-powered products that improve how our Solutions Engineering, Sales, and Marketing teams operate.
Partner directly with GTM leaders to understand business challenges and translate them into software solutions.
Rapidly prototype new applications and products, gather feedback, and iterate into production-ready solutions.
Excellent communication skills and the ability to collaborate with technical and non-technical stakeholders
Hands-on experience using AI coding assistants as part of your development workflow
Experience building and shipping full-stack applications
Strong product instincts with a focus on usability, scalability, and business impact
Strong programming fundamentals and software architecture skills
Comfortable working across frontend, backend, APIs, databases, and cloud services
Ability to independently scope, architect, build, and deliver projects with minimal oversight
Experience developing production-quality web applications or internal business tools
Experience with Claude Code is strongly preferred
2–6+ years of software engineering, computer science, or application development experience
Experience with Claude Code or similar AI-native development environments
Experience using tools such as Cursor, GitHub Copilot, Windsurf, or other AI coding platforms
Familiarity with LLM APIs and AI application development
Experience integrating with SaaS platforms and REST APIs
Experience deploying and maintaining cloud-hosted applications
Passion for learning and adopting emerging AI technologies

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