Manager, Forward Deployed Engineering

Role overview Lead a distributed team of forward deployed engineers delivering AI systems for client organizations, from ambiguous problem framing through production release. This is a hands-on leadership role that combines team development, technical guidance, client engagement, delivery ownership, and shaping follow-on work.

Responsibilities - Hire, coach, and develop engineers across the United States and Latin America, establishing clear communication and shared working standards. - Own scope, quality, timelines, and results across several client engagements. - Lead client demonstrations, architecture sessions, and delivery workshops, explaining how AI coding and collaboration tools can be applied in client environments. - Prototype, review designs, and help unblock work involving agentic workflows, tool use, integrations, and evaluation. - Identify opportunities to extend client work and partner with account leaders to shape next steps. - Create reusable engineering patterns, accelerators, and playbooks; collaborate with data, cloud, and digital engineering teams.

Requirements - Seven or more years in software engineering, including at least two years leading engineers or technical teams; distributed team experience is useful. - Client-facing delivery experience in consulting, solutions engineering, or forward deployed engineering. - Practical experience building with LLMs and agentic patterns, including tool use, retrieval augmented generation, workflow orchestration, and evaluation. - Strong Python or TypeScript skills, plus API design, CI/CD, and cloud fundamentals in Azure, AWS, or Google Cloud. - Excellent spoken and written English, with the ability to explain technical ideas to both executives and engineers. - Availability for meaningful overlap with US Eastern and Central working hours. - Evidence of taking unclear problems through to production.

Nice to have - Experience with Claude Code, Claude Cowork, the Anthropic API, or Model Context Protocol. - Enterprise AI governance, security, or responsible-use experience; Spanish or Portuguese fluency; data science or formal engineering education; or professional services experience. - A coaching mindset, clear async communication, strong ownership, and comfort adapting as tools evolve.