Chief Technology Officer/Co-Founder Digital Health, Computer Vision, Ambient AI

About the role

Alloy Partners is a venture builder partnered with the University of Notre Dame to co-create startups addressing critical societal challenges. In collaboration with a leading academic medical center, StealthCo is building an ambient AI platform that transforms nursing and medical care by continuously monitoring patients and care teams through existing hospital infrastructure to deliver real-time clinical decision support. We are seeking a hands-on computer vision architect and builder to join as CTO and Co-Founder, personally building the StealthCo platform from the ground up alongside the founding CEO.

What You'll Own

• Computer vision: Build detection and activity recognition that works on commercially available cameras in real clinical environments, whether a hospital already has them installed or is deploying them for the first time.
• Data as the asset: Start from off-the-shelf models to move fast, then build a proprietary dataset that gets better over time. You own that pipeline end to end.
• Annotation: Stand up the labeling operation and the quality bar behind it. Domain experts define what matters clinically; you decide what is reliably detectable.
• Deployment: Help architect the right distribution of technology, from cloud to on-premise. You have been through enterprise IT security review before.
• Architecture: Own the technical design and set the boundaries between components so specialists can be brought in later without breaking it.
• Lean resource management: Build using an intelligent mix of your own hands-on work, AI agents, and targeted contractors — minimizing full-time headcount until revenue and milestones warrant it.
• Future technical hiring: As StealthCo grows, help recruit and evaluate future engineering headcount growth.
• Customer and investor presence: Be in the room with the design partner's clinical and IT teams, at Seed investor pitches, and at future health system customer meetings, holding substantive technical conversations with hospital IT leaders or clinical informatics teams.

Requirements

• Must Have:
  • Hands-on computer vision experience — you have personally written model code, not only managed people who did.
  • Fluency in activity recognition, multi-person tracking, and pose estimation in constrained, real-world video environments, with firsthand experience building working systems.
  • Fixed-camera video work in messy, real-world conditions — multi-person tracking, occlusion handling, activity or action recognition, and human pose estimation. Body-worn camera, workplace safety, intelligent security, surgical video, or retail computer vision experience translates directly.
  • A shipped product in production, not only a model. You have taken something from zero to production with a small team and real customers. Founder or early employee track record is strongly preferred.
  • Edge or on-premise inference deployment — you have deployed models in environments where data cannot leave the building or where strict data residency requirements apply.
  • Model adaptation and fine-tuning over from-scratch training — you know how to get to a working system fast using what already exists rather than building everything from the ground up.
  • Startup or early-stage operating experience — you have built something meaningful with a small team, made decisions without complete information, and shipped when it was good enough rather than waiting until it was perfect. You are comfortable with ambiguity and move through it rather than waiting for it to resolve.
  • Minimum 10 years of relevant technical experience with demonstrated people management responsibility.
• Strong Differentiators:
  • Prior work on body-worn camera platforms, workplace safety video AI, retail computer vision, or surgical video AI — experience with real-world video in uncontrolled environments translates directly to this deployment context.
  • Experience at companies deploying computer vision at operational scale — Axon, Voxel, Intenseye, Protex AI, Theator, Caresyntax, Standard AI, or similar.
  • Chain of custody, data retention, or privacy review experience from body camera or enterprise video contexts — directly transferable to hospital IT security requirements.
  • Healthcare or clinical technology exposure — prior experience navigating HIPAA compliance, hospital IT procurement, or clinical workflow integration is an advantage.
  • Prior founding exit — acquisition or meaningful venture-backed outcome.

Benefits

• Salary plus equity plan
• Medical, Dental & Vision Insurance
• Flexible work location within the United States
• A collaborative, entrepreneurial environment with a proven venture studio playbook
• A highly validated concept and business model hypothesis developed by our team, including verbal pilot commitments
• Pre-seed funding committed by the 1842 Fund
• The support of the venture studio and platform services, surrounding the startup with world-class expertise in every discipline required to build a market-leading company