Key skills
CloudAIMLComputer VisionClaudeLeadership
About this role
Role Overview
- Own the AI roadmap and execution rhythm across Swarmer’s autonomy, perception, and data stack (LMT, ATR, VISNAV).
- Consolidate AI/ML efforts into one coherent roadmap with clear owners, priorities, and delivery accountability.
- Align AI initiatives with product roadmap, combat-ops priorities, and field constraints.
- Build strong operating processes for planning, prioritization, ownership, quality, metrics, and quarterly delivery.
- Prioritize ruthlessly: say no, defend focus, surface conflicts, and stop work that should not continue.
- Architect and integrate the data function into the broader AI organization.
- Improve team speed through tooling, automation, AI-assisted workflows, and hands-on contribution where needed.
- Make high-level technical decisions and supervise the architectural choices of senior leads (CV, robotics, autonomy, integration)
Requirements
- 5+ years in a managerial role leading technical teams.
- Proven experience leading AI/ML, computer vision, perception, or autonomy teams.
- Strong people management skills: hiring, team structure, accountability, performance management, and leadership of senior ICs.
- Hands-on technical background in AI/ML, computer vision, robotics, autonomy, or related fields.
- Ability to supervise technical decisions and challenge senior engineers without needing to act as the CTO.
- Strong execution discipline, speed over perfectionism, and comfort being judged on shipped outcomes.
- Real power-user experience with AI engineering tools such as Codex, Claude Code, Cursor, or similar and the conviction that the entire engineering team should be using them daily.
- Solid fundamentals in math and physics — comfortable reasoning about the physical world (wind, ballistics, sensor behavior, drone dynamics) before defaulting to "let's train a model." Candidates who only know ML as an applied toolkit without underlying intuition are not a fit.
- Experience deploying models at the edge / on embedded platforms (e.g., Jetson, Qualcomm) — not only in the cloud.
- Upper-Intermediate level of English or higher.
- Would be an advantage: Experience with ATR, object recognition, perception systems, or autonomous systems at depth.
- Experience with embedded AI, edge deployment, or resource-constrained environments.
- Hardware-software integration experience.
- Defense, aerospace, drones, robotics, or operational technology experience.
- Experience rebuilding or scaling a data team and working directly with founders or CEOs.
Tech Stack
- Cloud
Benefits
- Competitive salary
- Benefits package (insurance, paid sick leaves, 20 paid days off per year)
- Benefits of the defense sector (reservation, etc)