Manager, Forward Deployed Engineering
Salary not listed • Remote • LATAM (Remote), US (Remote) • Full-time
Posted 10d ago
No salary is listed. Many US states require employers to post a pay range, so ask about pay early.
Job Location
LATAM (Remote), US (Remote)
Tech Stack
Remote Work Policy
Fully remote
Employment Type
Full-time
Categories
AI Engineer
About the job
Nimble Gravity is seeking a hands-on engineering leader to build and coach a team across the Americas focused on turning ambiguous business problems into production-ready AI systems. This role requires a blend of technical expertise and client-facing skills, involving client workshops, code reviews, and strategic opportunity identification. The ideal candidate will be comfortable leading a distributed team, owning project delivery, and acting as the technical liaison with clients, demonstrating the capabilities of AI solutions like Claude Code and Claude Cowork.
Responsibilities
- Lead and grow a distributed team of forward-deployed engineers across the USA and LATAM, fostering a culture of trust and clear communication.
- Ensure accountability for scope, quality, timelines, and outcomes across multiple client engagements.
- Serve as the technical point of contact for clients, conducting demos, architecture sessions, and workshops.
- Contribute technically by prototyping, reviewing designs, and unblocking the team on agentic workflows, tool use, MCP integrations, and evaluation.
- Identify and scope expansion opportunities within client engagements in partnership with account leadership.
- Develop and implement repeatable practices, accelerators, and playbooks for team-wide adoption.
- Collaborate with data, cloud, and digital engineering teams to deliver end-to-end solutions.
Requirements
- 7+ years of software engineering experience, with at least 2 years in a leadership role for engineers or technical teams.
- Proven experience in client-facing delivery roles such as consulting, solutions engineering, or forward-deployed engineering.
- Hands-on experience building with LLMs and agentic patterns, including tool use, RAG, workflow orchestration, and evaluation.
- Proficiency in Python or TypeScript, with solid understanding of API design, CI/CD, and cloud fundamentals (Azure, AWS, or GCP).
- Excellent written and spoken English communication skills, with the ability to explain complex technical concepts to diverse audiences.
- Availability for significant working-hours overlap with US Eastern and Central time zones.
- Demonstrated ability to take ambiguous problems from conception to production.