Manager, Forward Deployed Engineering

Rallyday Partners; United States; Remote; USD 180,000 - 240,000; Full time

Job summary

Nimble Gravity is seeking a hands-on engineering leader to build and coach a team across the Americas, turning ambiguous business problems into production AI systems. You’ll lead delivery, run client demos, and shape the next phase of work while staying close to code and architectures.

You’ll work in a distributed environment, mentoring engineers and establishing repeatable practices to ensure value across client engagements and internal initiatives.

Qualifications

• 7+ years in software engineering with 2+ years leading engineers or technical teams.
• Experience in client-facing delivery: consulting or forward deployed work.
• Hands-on with LLMs, tool use, RAG, workflow orchestration, evaluation.
• Strong Python or TypeScript, API design, CI/CD, and cloud fundamentals.
• Excellent written and spoken English; able to explain complex ideas to executives.
• Ability to overlap meaningful working hours with US Eastern/Central time.

Responsibilities

• Lead a distributed team across the USA and LATAM; hire, coach, and grow engineers.
• Own delivery across multiple client engagements including scope, quality, and timelines.
• Be the technical voice with clients; run demos, architecture sessions, and workshops.
• Build alongside the team; review designs and unblock agentic workflows and integrations.
• Identify next phases and partner with leadership to shape opportunities.
• Establish repeatable practices; create patterns, accelerators, and playbooks.
• Collaborate with data, cloud, and digital engineering teams for end-to-end outcomes.

Skills

Team leadership

Client-facing delivery

LLM systems

Python

TypeScript

API design

CI/CD

Cloud fundamentals

English communication

US ET/CT overlap

Tools

Claude Code

Claude Cowork

Anthropic API

Job description

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

• Hands-on experience with Claude Code, Claude Cowork, the Anthropic API, or the Model Context Protocol.
• Experience with AI governance, security, and responsible-use practices in enterprise settings.
• Fluency in Spanish or Portuguese.
• Background in data science or formal engineering training.
• Experience in a consulting or professional services environment.

Core Qualities

• Ownership: You take responsibility for outcomes, not just tasks.
• Curiosity and courage: You ask the real questions and challenge assumptions, politely but firmly.
• Coaching mindset: You grow people and share credit.
• Async-first communication: You keep a distributed team moving with clear documentation and decisions.
• Adaptability: You're comfortable when the tools change monthly.

Interview process

Interview with Recruiter (30 min)
1st Technical Interview (45 min)
2nd Technical Interview (45 min)
Final Interview with VP, AI Applied Solutions
Case Studies

Nimble Gravity Applied Anthropic Practice

About Nimble Gravity

Nimble Gravity is a team of outdoor enthusiasts, adrenaline seekers, and experienced growth hackers. We love solving hard problems and believe the right data can transform and propel growth for any organization.

Nimble Gravity is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Nimble Gravity considers all qualified applicants.