GTM Customer Engineer
Quick Summary
The future of defense will be decided by those who field intelligent machines at scale. At Scout AI, we’re developing Fury, the first robotic foundation model for defense, to give U.S.
The future of defense will be decided by those who field intelligent machines at scale. At Scout AI, we’re developing Fury, the first robotic foundation model for defense, to give U.S. forces overwhelming, adaptable, and autonomous power across every domain. Fury enables human operators to command fleets of robots through natural language, and empowers those machines to sense, decide, and act together as one. This mission will ask everything of us: urgency, precision, and relentless work.
Responsibilities
~1 min read- →Serve as a specialist technical advisor to Scout AI customers as they deploy new capabilities enabled by Fury — from discovery through deployment — coordinating internally across multiple teams to drive customer success
- →Partner with account executives and solutions architects to translate customer mission and business requirements into technical solutions
- →Influence technical architecture decisions and customer product strategy by developing customized pilots, prototypes, and evaluation suites
- →Lead hands-on technical workshops and reviews with customer engineering teams
- →Recruit, mentor, and lead a growing team of customer engineers, defining the playbooks and processes that scale the GTM engineering function
- →Identify common design patterns and contribute insights back to our Product and Engineering teams
- →Create scalable public and internal assets documenting the latest prompting, evaluation, agentic, and architecture techniques for Scout AI foundation models
- →Maintain strong knowledge of the latest developments in LLM, VLM, VLA, and robotic foundation model capabilities, implementation patterns, and AI product development stacks
- →Travel occasionally to customer sites for workshops, implementation support, and building relationships
- →Attend conferences, lead speaking engagements, and write blog posts and white papers on topics surrounding the AI and autonomy space
Requirements
~2 min read- 4+ years of experience in technical roles such as Customer Engineer, Forward Deployed Engineer, Software Engineer, or Technical Product Manager with a desire to work closely with customers; former technical founders are also encouraged to apply
- Production experience with LLMs, VLMs, and/or VLAs including advanced prompt engineering, agent development and frameworks, evaluation frameworks, transcript analysis, MCP, and deployment at scale
- Strong programming skills with proficiency in JSON, Python or TypeScript and experience building production applications
- Ability to navigate ambiguity and execute across domains with intellectual openness, finding simple solutions to complex problems
- High-cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity
- Passion for advancing safe, beneficial AI systems through creative technical applications
- Exceptional communication skills to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach
- At least a Bachelor’s degree in a related field or equivalent experience
- Must be a U.S. Person due to required access to U.S. export controlled information or facilities
- Passion about defense of the United States and its allies
- May be expected to obtain and hold a U.S. Top Secret security clearance
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.
What We Offer
~1 min readLocation & Eligibility
Listing Details
- Posted
- October 7, 2026
- First seen
- October 7, 2026
- Last seen
- October 7, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 87%
- Scored at
- October 7, 2026
Signal breakdown
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