Stop applying to remote jobs that are already dead.
Every listing shows the evidence: when we last checked it, how, and when it was posted and closed.

All listings

Nimble Gravity via Greenhouse

Manager, Forward Deployed Engineering

LATAMUnited States manager
still open verified 1d ago posted 11d ago seen 3h ago
Apply at job-boards.greenhouse.io

This is the employer's own posting, not a copy on a job board.

What we know

Is it still open?

Confirmed still open

Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.

We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.

Check this listing's status as JSON

How old is it?

Posted 11d ago

The date the source published, not the day we noticed it (2026-10-21). Last seen at its source 3h ago.

We have tracked this listing since 21 Oct 2026 (11 days). The employer's own board has carried it every time we have read it, most recently 3 hours ago.

Is it remote?

LATAM (Remote), US (Remote)

That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.

Who may apply?

LATAM, United States

The description states no restriction of its own. This is the source's own tag.

Pay not stated

Similar roles pay $72.5k–150k/yr

Middle 50% of 85 listings that do state pay — Engineering · all levels · LATAM · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.

Skills named in the ad

AI AgentsAPI DesignAWSAzureCI/CDClaude CodeCode ReviewDatabricksGCPMentoringModel Context ProtocolPythonRAGTypeScript

Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.

Carried by 1 source

The 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). 
  • 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. &l

Apply at job-boards.greenhouse.io