AI Analyst - Developer (Telemetry) - Ubiminds (498)

Info on the AI Transformation Leader (499) role Ready to take the next step in your international career? We can support you! Ubiminds is a GPTW-certified, people-first company that partners with American software product companies to scale their global teams. We connect top LATAM talent with international product companies while providing full employer-of-record support and long-term career development. In this opportunity, you will join a global engineering organization undergoing an AI-native transformation, helping engineering teams adopt modern AI development workflows and significantly accelerate their productivity. This role combines hands-on engineering expertise, AI tooling mastery, and developer enablement, helping teams integrate AI-powered workflows into their daily development processes. Challenge We are looking for an AI Transformation Lead who thrives at the intersection of engineering, coaching, and innovation. This role is not about theoretical AI discussions or traditional training programs. Instead, you will work directly with engineering teams to demonstrate, teach, and embed AI-native development practices into real production workflows. You will lead interactive AI Jam Sessions, create a Super-Builder guild, and build a practical AI Playbook that helps engineers across distributed teams adopt tools like Cursor, Copilot, and Claude effectively. Your mission is to make AI adoption organic, practical, and measurable — enabling engineers to ship faster, improve code quality, and embrace AI as a core part of their development process. Responsibilities: Design and facilitate AI Jam Sessions, enabling engineers to adopt AI-powered workflows through hands-on experimentation Demonstrate real-world development workflows using Cursor, GitHub Copilot, and Claude Establish and lead a Super-Builder guild, enabling peer-driven AI adoption Provide hands-on coaching sessions to engineers integrating AI tools Diagnose AI adoption barriers (prompting limitations, workflow mismatches, tooling friction) Create prompting guides and workflow templates tailored to real environments Develop and maintain a living AI Playbook with best practices and patterns Run prompting clinics and office hours for continuous support Map engineering workflows and identify AI acceleration opportunities Track adoption metrics and collaborate with analytics teams Facilitate collaboration across LATAM–U.S. distributed teams Mentor engineers and elevate AI-native engineering communities Mandatory Skills: 6+ years as Software Engineer, Tech Lead, or Principal Engineer Strong background in TypeScript, Python, Go, Java, or similar Deep hands-on experience with AI coding assistants in daily workflows Advanced expertise with Cursor (agent mode, multi-file context, custom rules) Advanced experience with GitHub Copilot (chat workflows, IDE integration) Strong experience with Claude or similar LLM tools Strong prompt engineering (few-shot, context management, workflow integration) Experience running workshops, hackathons, or live coding sessions Experience mentoring engineers or leading guilds/communities Experience working in distributed teams Strong English communication skills Based in LATAM with U.S. timezone overlap Nice to Have: Experience with agent frameworks (LangChain, CrewAI, AutoGen) Experience with AI-driven DevEx / developer tooling Experience building engineering guilds or centers of excellence Experience in enterprise SaaS environments Background in AI platforms or HR tech ecosystems Experience designing technical curriculum or training programs  Team & Environment: Distributed engineering teams across LATAM and the U.S. Highly collaborative environment focused on experimentation and innovation. Strong engineering culture centered on mentorship, knowledge sharing, and continuous improvement. Opportunity to shape AI-native engineering practices at scale. High visibility role working closely with engineering leadership. Experience designing in ... (truncated, view full listing at source)