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TL;DR - We're building the defense layer for the AI age and looking for a founding Forward-Deployed Engineer to embed with elite sports, music, and live production environments - identifying and neutralizing real-world cyber-physical threats - and converting those field patterns into scalable product capability.

If you want to invent a new category - not optimize an existing one - this is that role.

Why Sweep?

As intelligent machines proliferate into every part of the physical world, humans still lack a defense layer to ensure the systems and devices they rely on remain aligned with them.

We're building that layer by deploying Sweep alongside the world's highest-stakes teams - F1 paddocks, Olympic delegations, global tours, halftime shows, studio lots, executive protection units - in environments where signal is dense, movement is constant, and failure is visible.

These environments are dense with unmanaged devices - rogue Wi-Fi, BLE trackers, smart glasses, sanctioned hardware, robotics, and embedded systems. What we learn there becomes product capability. What we build from that compounds across every deployment.

You'll join a small, talent-dense team with high ownership, high velocity, and low ego. We care deeply, move fast, and are here to build something that outlasts us.
Together, we'll redefine cyber-physical security for the AI age.

What makes this role special?

• Be our first Forward Deployed Engineer in sports and entertainment.
• Operate at the intersection of engineering, product, and elite team operations.
• Work directly with security directors, league officials, production leads, and crews.
• Deploy in places where RF density, logistics complexity, and reputational risk are extreme.
• Deliver discreetly in high-stakes environments where precision and judgment matter.
• Influence core product roadmap based on what actually breaks in the real world.

What we're looking for

• 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).

Bonus if you've

• 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.

What You'll Do

• 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.

How we select

• Submit a short application
• Complete a 20-minute intro call
• Technical deep-dive and discussion of how you approach problems
• Show us something you've built that makes you proud
• References and offer
  

Final Facts

Base salary up to $180,000, depending on qualifications, experience, and impact.Total compensation includes equity, premium insurance, and individual benefits.
You'll join us on-site at our HQ in New York City, with frequent global travel.
Make history. Build humanity's defense against machines.