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Chief Technology Officer — DocGlasses

We believe DocGlasses becomes a $10Bn company in 5 years, on a path to $2.5Bn in revenue. This is your chance to be the technical face of a global healthcare story worth billions, and to own the decisions that get us there.

AI Health + Smart glasses: Sold as a solution for clinicians.

$52 million contract pipeline within 3 months of launch

The glasses see and hear the clinical encounter, run AI on-device, and deliver documentation and decision support hands-free. Docglasses turn every nurse and paramedic, into a doctor.

Multimodal handsfree scribing : Every AI scribe on the market listens. We see. Published clinical research: 97% vs. 28% accuracy on high-stakes documentation, 35x fewer omission errors than audio-only.

AI Guidance : 4+ billion people lack access to a doctor. Our product is already in government hospitals serving some of the poorest patients in the world — 1,000+ clinical sessions, 7.6 minutes saved per consultation, 91% data accuracy. The tech you build won’t sit in a demo. It will decide whether a paramedic catches the thing that saves a life, whether a home health nurse can do what only a physician could before.

This is a running engine, not a blank page

• Government trial live across 5 hospital; state contract for ~10,000 doctors in motion
• Signed enterprise agreement in the Middle East
• Silicon partnership with a top-tier mobile/XR chipset leader
• Patents pending, starting team in place, revenue expected within a quarter

You take over a working machine and make it 100x.

• On-device SLMs — fine-tuning, quantization, edge inference on consumer hardware
• Vision + multimodal — Turning visual inputs into valuable notes.
• OCR — Extracting handwritten prescriptions, labels, monitor readings, from running video stream
• Languages — Multilingual and the code‑switched way clinicians actually talk
• Team — hire and lead engineering across US and India

• A 100x engineer. We care what you’ve shipped, not how long you’ve been shipping.
• Hands-on with SLM fine-tuning, quantization, and edge deployment – models that run on real devices, not just notebooks
• Strong computer vision or multimodal background
• Experience at a frontier AI lab (Anthropic, OpenAI, Google DeepMind, Meta AI) or shipping models at comparable scale is highly valued
• Healthcare experience welcome, not required – AI depth matters more
• An existing network with investors is a strong plus
• You move fast, hold strong opinions, and want your work to matter

$250k annual + founding-level equity. Flexible.