Manager, Forward Deployed Engineering

About Nimble Gravity: We’re a data, AI and digital engineering consultancy. Certified across Microsoft, Anthropic, and Databricks, we turn AI ambition into working systems for leaders who need results, not roadmaps. We're looking for a hands-on engineering leader who is as comfortable in a client workshop as in a pull request. You'll build and coach a team across the Americas that turns ambiguous business problems into working AI systems in production. You'll also spot where the next phase of work lives. Key Responsibilities Lead a distributed team: Hire, coach, and grow forward deployed engineers across the USA and LATAM. Build a culture of trust, clear communication, and shared standards across time zones. Own delivery: Be accountable for scope, quality, timelines, and outcomes across multiple concurrent client engagements. Be the technical voice with clients: Run demos, architecture sessions, and delivery workshops that show clients what Claude Code and Claude Cowork can do in their environment. Build alongside the team: Stay close to the code. Prototype, review designs, and unblock the team on agentic workflows, tool use, MCP integrations, and evaluation. Find the next phase: Spot expansion opportunities in the work and partner with account leadership to shape and scope them. Establish repeatable practices: Build reusable patterns, accelerators, and playbooks that the whole team can use, wherever they sit. Collaborate across the business: Work with data, cloud, and digital engineering teams to deliver end-to-end outcomes. What We're Looking For Required 7+ years in software engineering, with 2+ years leading engineers or technical teams, ideally distributed ones. Experience in client-facing delivery: consulting, solutions engineering, or forward deployed work. Hands-on experience building with LLMs and agentic patterns, including tool use, RAG, workflow orchestration, and evaluation. Strong Python or TypeScript skills, plus solid API design, CI/CD, and cloud fundamentals (Azure, AWS, or GCP). Excellent written and spoken English, and the ability to explain complex technical ideas clearly to executives and engineers alike. Availability for meaningful working-hours overlap with US Eastern and Central time. A track record of taking ambiguous problems to production. Preferred <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335551500":3021383,"335552541":1,"335559685":540,"335559