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Full-Time

Director of Engineering

Confirmed live in the last 24 hours

Rad AI

Rad AI

51-200 employees

AI-driven software for radiology workflows

Enterprise Software
AI & Machine Learning
Healthcare

Senior, Expert

Remote in USA

Remote-first company.

Category
Backend Engineering
Software QA & Testing
Software Engineering
Required Skills
SQL
Requirements
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 10+ years of experience in software engineering.
  • 5+ years in leadership role, including 3+ managing managers.
  • Proven track record of leading high-performing engineering teams and delivering complex software products.
  • Strong technical expertise in software development, architecture, and design, with proficiency in modern programming languages and frameworks.
  • Experience with reporting and analytics technologies, such as business intelligence tools, data visualization platforms, and SQL databases.
  • Excellent communication and interpersonal skills, with the ability to effectively communicate technical concepts to both technical and non-technical stakeholders.
  • Demonstrated ability to drive innovation, foster a culture of collaboration, and deliver results in a fast-paced, dynamic environment.
Responsibilities
  • Provide strategic direction and leadership to the Rad AI Reporting Product engineering team, fostering a culture of collaboration, innovation, and excellence.
  • Lead the development and execution of the product roadmap, working closely with product managers, designers, and other stakeholders to deliver innovative reporting solutions.
  • Ensure the engineering team adheres to best practices, coding standards, and architectural guidelines, fostering a culture of technical excellence and continuous improvement.
  • Recruit, onboard, and mentor top engineering talent, building a high-performing team capable of delivering world-class reporting solutions.
  • Collaborate with cross-functional teams, including product management, design, and customer success, to ensure alignment on product priorities and delivery schedules.
  • Act as a key point of contact for internal and external stakeholders, providing updates on project status, addressing concerns, and managing expectations.
  • Stay abreast of industry trends and emerging technologies, identifying opportunities for innovation and differentiation in our reporting product offerings.
  • Ensure the delivery of high-quality, scalable, and reliable reporting solutions, with a focus on customer satisfaction and business impact.

Rad AI enhances radiology workflows using artificial intelligence to improve efficiency and accuracy in radiological practices. Its main product, Omni Reporting, automates routine tasks, ensures follow-up on incidental findings, and enhances reporting accuracy. This software integrates seamlessly into existing workflows, making it easier for radiologists to manage their work. Unlike competitors, Rad AI emphasizes data security and patient privacy, being SOC 2 Type II and HIPAA certified. The company operates on a subscription-based model, providing continuous updates and improvements to its software. The goal of Rad AI is to improve patient outcomes and streamline healthcare processes in the radiology field.

Company Stage

Series B

Total Funding

$89.8M

Headquarters

San Francisco, California

Founded

2018

Growth & Insights
Headcount

6 month growth

14%

1 year growth

44%

2 year growth

110%
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Simplify's Take

What believers are saying

  • Rad AI's recent $50M Series B funding, led by Khosla Ventures, positions the company for significant growth and expansion in the AI healthcare market.
  • The company's technology is already used by about a third of U.S. health systems, indicating strong market penetration and customer trust.
  • Innovative features like Omni Unchanged demonstrate Rad AI's commitment to reducing radiologists' workload and improving efficiency, which can lead to higher job satisfaction and better patient outcomes.

What critics are saying

  • The rapid pace of technological advancements in AI and healthcare could render Rad AI's solutions obsolete if the company fails to innovate continuously.
  • The competitive landscape in AI-driven radiology is intensifying, with new entrants and existing players potentially eroding Rad AI's market share.

What makes Rad AI unique

  • Rad AI's Omni Reporting software, recognized as the Best New Radiology Software by AuntMinnie, sets it apart in the radiology AI market.
  • The company's strong emphasis on data security and patient privacy, evidenced by SOC 2 Type II and HIPAA certifications, provides a competitive edge in the healthcare sector.
  • Rad AI's early adoption of generative AI and proprietary LLMs for radiology report automation distinguishes it from competitors who are only now exploring these technologies.

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