
AI Enablement Engineer
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in United States.
• Serve as a hands-on technical partner for Coder team members utilizing Smart AI.
• Collaborate with employees across the organization to grasp their needs, requirements, workflows, and challenges.
• Respond to inquiries in Slack, meetings, and working sessions regarding Smart AI tools, models, prompts, harnesses, development environments, and recommended methodologies.
• Recognize recurring needs and convert them into requirements for the Smart AI roadmap.
• Develop and enhance reusable journeys, skills, templates, system instructions, and other established paths.
• Contribute to infrastructure improvements for smoother, more reliable, and consistent internal AI development.
• Work collaboratively with users using Claude Code and other AI-assisted development workflows.
• Enhance the dedicated development environment for vibe coding, including integrations, connectors, APIs, model access, and supporting infrastructure.
• Transform one-off inquiries into reusable solutions.
• Collaborate with the Smart AI Program lead on prioritizing and executing the roadmap.
• Conduct office hours, workshops, lunch and learns, and enablement sessions.
• Produce guidance, examples, and documentation for Smart AI functionalities.
• Over 3 years of experience in technology, ideally within a startup setting.
• An engineering background or significant hands-on experience with tools like Claude Code.
• Insight into how software is constructed, orchestrated, and deployed.
• Capacity to swiftly learn new tools and technologies through self-directed study and experimentation.
• A high level of empathy for users.
• Demonstrated ability to identify user obstacles and devise practical solutions.
• A tinkering mindset focused on enhancement, automation, and simplification.
• PM-like pattern recognition skills to detect recurring signals and establish repeatable golden paths.
• Strong communication abilities across various technical skill levels.
• Comfort in transitioning between requirement gathering and implementation.
• Judicious in distinguishing singular user issues from systemic problems.
• Familiarity with Coder or remote development tools, such as Gitpod, DevPod, or GitHub Codespaces.
• Experience in business analysis, learning and development, or developer relations.
• Background in supporting an internal developer platform, AI enablement program, developer community, or technical center of excellence.
• Knowledge of Model Context Protocol (MCP), API integrations, or connecting AI tools to Slack, GitHub, Salesforce, or internal databases.
• Experience in crafting technical workshops, documentation, examples, or enablement programs.
• Eligibility to work in the United States.
• Equity.
• Bonus.
• Transparent, consistent, and enjoyable interview process.
• AI tools allowed for take-home assessments.
• Equal employment opportunity.
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