Description review
Manager, Forward Deployed Engineering
Nimble Gravity · United States · back to the listing
HR standards
71/100
solid
Title ↔ description
86/100
strong
Reads as
Engineering Manager
100% confident
What this role officially is
software manager — ESCO, the EU occupation classification
Software managers oversee the acquisition and development of software systems in order to provide support to all organisational units. They also monitor the results and quality of the different software solutions and projects implemented in the organisation.
Also known as: applications manager, software managers, ICT applications manager, software applications manager, soft manager
How others title the same work
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Startups
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What the listing never says
- 24 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
- No location or timezone policy stated, so a candidate cannot tell where they may work from. Scope clarity
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
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.
Originally posted on Himalayas
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.
Originally posted on Himalayas