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Uncovr

Automates operative reports from surgical video

Forward Deployed Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Strong coding ability and the ability to build practical software solutions quickly.
  • Experience in software engineering, product engineering, deployment engineering, field engineering, systems engineering, infrastructure engineering, support engineering, healthcare technology, or a related technical role.
  • Ability to work directly with customers while also contributing hands-on technical implementation.
  • Comfort being customer-facing with surgeons, clinical teams, hospital IT, and hospital stakeholders.
  • Ability to collect feedback, understand the real problem behind the request, and translate it into product and engineering work.
  • Ability to prototype quickly, test with users, iterate, and support productionization.
  • Practical full-stack, backend, infrastructure, scripting, or systems engineering ability.
  • Comfort working with technical systems across software, cloud infrastructure, APIs, data pipelines, edge devices, networking, video capture, and hardware-connected software.
  • Ability to troubleshoot technical issues across systems, devices, software, connectivity, networking, user workflows, and hospital environments.
  • Ability to collaborate closely with AI engineers, infrastructure engineers, cloud architects, full-stack engineers, product teams, and clinical users.
  • Ability to stay calm, practical, and structured when issues arise in high-pressure environments.
  • Strong attention to detail and good documentation habits.
  • Comfort owning issues from first report through implementation, validation, and resolution.
  • Willingness to travel regularly to hospital sites and support live deployments.
  • Comfort working in a fast-paced, ambiguous startup environment.

Responsibilities

  • Work directly with hospitals to understand the technical, clinical, and workflow requirements needed to deploy Uncovr successfully.
  • Help unlock new hospital deployments by implementing the features, workflows, integrations, and configuration needed for each site.
  • Onboard new surgeries, procedures, specialties, and clinical workflows into the Uncovr system.
  • Spend time with surgeons, clinical teams, hospital IT, and hospital stakeholders to gather feedback and identify what is blocking adoption or usage.
  • Translate hospital feedback into clear technical requirements, product improvements, prototypes, and implementation plans.
  • Build rapid prototypes based on real needs observed in the field.
  • Implement hospital-specific features, workflow improvements, internal tools, dashboards, scripts, integrations, and configuration changes.
  • Iterate quickly with clinical users by collecting feedback, implementing changes, validating the solution, and refining it until it works in the real clinical environment.
  • Work closely with Uncovr’s core production team, including AI engineers, infrastructure engineers, cloud architects, and full-stack engineers.
  • Support the core team in productionizing field-built features so they become reliable, scalable, and maintainable parts of the product.
  • Collaborate with AI engineers to ensure new surgical workflows, data capture requirements, and product features are compatible with Uncovr’s AI systems.
  • Collaborate with infrastructure and cloud teams on deployment architecture, data flow, reliability, monitoring, and hospital-specific technical constraints.
  • Collaborate with full-stack engineers on user-facing tools, interfaces, dashboards, workflow applications, and product features.
  • Help install, configure, and validate Uncovr systems in hospital environments.
  • Monitor system health during live use and identify issues early.
  • Troubleshoot issues across hardware, software, connectivity, networking, edge devices, hospital IT systems, user workflows, and clinical environments.
  • Work with hospital IT teams to resolve infrastructure, access, networking, security, connectivity, data transfer, and deployment issues.
  • Support surgeons, clinical teams, and hospital users in operating the system correctly.
  • Act as the first technical point of contact in the field when issues arise.
  • Document incidents, recurring issues, user feedback, technical findings, deployment learnings, and product gaps.
  • Help maintain deployment, monitoring, troubleshooting, recovery, onboarding, and implementation playbooks.
  • Ensure each hospital deployment improves future deployments, product reliability, support processes, and product capabilities.

Desired Qualifications

  • Experience with hospital deployments, clinical technology, medical devices, or healthcare software.
  • Experience working in or around operating rooms, surgical departments, or perioperative environments.
  • Experience onboarding new clinical workflows, procedures, specialties, or site-specific product configurations.
  • Experience with edge devices, on-premise systems, video capture, or hardware-connected software.
  • Familiarity with hospital IT, networking, access control, data transfer, security reviews, or clinical system constraints.
  • Experience with cloud architecture, infrastructure, APIs, data pipelines, observability, or distributed systems.
  • Experience building full-stack tools, dashboards, workflow applications, integrations, or internal platforms.
  • Experience working with AI products, computer vision systems, clinical AI tools, or AI-assisted workflows.
  • Experience supporting products in high-pressure, regulated, or safety-critical environments.
  • Background in engineering, clinical operations, medicine, nursing, physician assistant work, operating room practice, or surgical technology.
  • Interest in AI, surgery, clinical workflows, and healthcare technology.

About the Company

Uncovr

Automates operative reports from surgical video

Uncovr turns operating-room video from robotic and minimally invasive surgeries into automated operative reports, procedural codes, and structured clinical records. It analyzes the video cameras already in use during surgery to generate documentation, so surgeons don’t have to recall steps later for billing, compliance, and care continuity. Unlike some competitors, it leverages existing intraoperative video rather than extra sensors or devices, combining medical leadership and AI with real-world clinical needs, and it already serves hundreds of ORs across the US and Europe. Its goal is to scale deployments with health systems to close reimbursement and documentation gaps and improve efficiency and care continuity.

Company size
11-50
Company stage
Seed
Total funding
$7M
Headquarters
San Francisco, CA
Founded
2025

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