Live opening · Posted 21 hours ago

Manager, Forward Deployed Engineering

Nimble Gravity · LATAM (Remote), US (Remote)
Greenhouse
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At a glance

The key details from the original listing.

Posted 21 hours ago
CompanyNimble Gravity
LocationLATAM (Remote), US (Remote)
SourceGreenhouse
ListedPosted 21 hours ago

About the role

Description supplied by the original job listing.

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).

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