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Sweep360Sweep360New York, NY

Forward Deployed Engineer (Sports & Entertainment)

Forward Deployed Engineer embeds with sports and entertainment teams to identify and neutralize cyber-physical threats like rogue Wi-Fi and IoT devices, developing real-time countermeasures and scalable product features. Requires 2-5 years in high-stakes environments with strong engineering across software, networks, and hardware; involves ~40-50% global travel.

Up to 180k/yr
On-site2+ YOESolutions Architecture

About the role

Responsibilities

  • Work directly with customers to understand workflows, constraints, and ground truth.
  • Deploy globally for short, high-intensity engagements (~40–50% travel).
  • Operate reachback support between deployments — rapidly responding to reported threats and converting those interactions into system improvements that compound globally.
  • Diagnose threats on-site, developing countermeasures in real time, and brief stakeholders clearly under pressure.
  • Capture patterns and failure modes so improvements scale beyond any single deployment.
  • Shape how Forward Deployed Engineering works (rituals, playbooks, org design).
  • Contribute to core product strategy and roadmap.

Requirements

  • 2–5 years working in environments involving real-world cyber-physical risk (Wi-Fi, BLE, rogue access points, IoT, robotics, embedded systems).
  • Strong architectural thinking across mobile, backend, data, and infrastructure.
  • Comfortable operating in ambiguous, high-stakes environments.
  • Ability to prototype quickly and iterate based on field feedback.
  • Engineering fluency — able to reason across software, networks, hardware, and adversarial behavior without supervision.
  • Clear communicator — able to translate messy field observations into structured product changes.
  • U.S. Person status (may involve export-controlled environments).

Nice-to-Haves

  • Worked in elite sports, live production, or national-level events.
  • Used SDRs, packet capture, RF survey tools, or similar instrumentation.
  • Been forward-deployed or customer-embedded.
  • Built automation using LLMs or data-driven workflows.
  • Operated in an early-stage, high-ownership startup.

Compensation

  • Base salary up to $180,000, depending on qualifications, experience, and impact.
  • Total compensation includes equity, premium insurance, and individual benefits.

Skills

Wi-FiBleIotRoboticsEmbedded SystemsSoftwareNetworksHardwareSdrsPacket CaptureRf Survey ToolsLLMs
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