Chief Technology Officer

Doc Glasses AI; California (MO); On-site; USD 225,000 - 275,000; Full time

Benefits offered by this job

Founding-level equity

Job summary

DocGlasses seeks a Chief Technology Officer to lead our engineering organization in the Bay Area, reporting to the CEO and shaping the technical strategy for a multimodal healthcare AI platform.

As a founding-level leader, you will own on-device AI, edge inference, and multimodal scribing capabilities, guiding product and research across the US and India while delivering a scalable, high-impact product.

Qualifications

• Hands-on with SLM tuning, quantization, and edge inference.
• Strong background in computer vision or multimodal AI.
• Experience leading engineers on frontier AI projects is a plus.

Responsibilities

• Define and drive the technical roadmap for DocGlasses.
• Lead and mentor engineering teams across the US and India.
• Ensure on-device AI capabilities meet clinical accuracy and reliability.

Skills

SLM fine-tuning

Edge deployment

Computer vision

Multimodal systems

Technical leadership

Job description

Chief Technology Officer — DocGlasses

Bay Area | Founding-level equity | Works with CEO (Multi exit entrepreneur)

The $10 billion opportunity

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.

What we do

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.

Few engineering jobs on earth have this ratio of code written to lives touched.

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.

What you’ll own

• 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

Who we want

• 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

Compensation

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