Manager, Forward Deployed Engineering

nimblegravity; United States; Hybrid; USD 170,000 - 250,000; Full time

Job summary

nimblegravity leads a distributed team delivering AI systems for client organizations, from problem framing to production release. This hands-on leadership role blends team development, technical guidance, client engagement, and delivery ownership.

You will mentor engineers, drive architecture sessions, and partner with account teams to shape next steps, aligning with best practices and scalable solutions across multiple engagements.

Qualifications

• Seven or more years in software engineering with leadership experience.
• Client-facing delivery experience in consulting, solutions, or forward-deployed engineering.
• Experience with LLMs and agentic patterns including tool use and workflow orchestration.
• Strong Python or TypeScript skills, API design, CI/CD and cloud fundamentals.
• Excellent spoken and written English for executives and engineers.
• Ability to overlap meaningfully with US Eastern and Central hours.
• Evidence of taking unclear problems through to production.

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.

Skills

Software engineering leadership

Distributed team experience

Client-facing delivery

Python

TypeScript

API design

CI/CD

Cloud fundamentals (Azure/AWS/GC)

English communication

Problem solving in production

Overlap with US Eastern/Central hours

Tools

Claude Code

Claude Cowork

Anthropic API

Model Context Protocol

Job description

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.