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

AI & Machine Learning
Healthcare

Expert

Remote in USA

Remote-first company with location flexibility.

Category
Backend Engineering
Full-Stack Engineering
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 medical imaging. Its main product, Omni Reporting, automates routine tasks, ensures follow-up on incidental findings, and improves reporting accuracy for radiologists. Unlike competitors, Rad AI focuses specifically on integrating AI solutions into existing radiology practices, making it easier for healthcare providers to adopt their technology. The company's goal is to streamline radiology processes while maintaining high standards of data security and patient privacy, as evidenced by its SOC 2 Type II and HIPAA certifications.

Company Stage

Series B

Total Funding

$76.8M

Headquarters

San Francisco, California

Founded

2018

Growth & Insights
Headcount

6 month growth

13%

1 year growth

43%

2 year growth

82%
Simplify Jobs

Simplify's Take

What believers are saying

  • Rad AI achieved a 48% increase in radiograph reporting efficiency at RANT.
  • Rad AI raised $50M in Series B funding, boosting its expansion capabilities.
  • Strategic collaboration with AGFA HealthCare enhances Rad AI's market position.

What critics are saying

  • Emerging competition from companies like DeepMind could overshadow Rad AI's offerings.
  • Rapid AI technology evolution requires Rad AI to continuously innovate.
  • AI-driven automation may face resistance from the medical community.

What makes Rad AI unique

  • Rad AI's Omni Reporting won 'Best New Radiology Software' by AuntMinnie.
  • Rad AI integrates AI with FHIRcast for enhanced radiology workflow interoperability.
  • Rad AI is a pioneer in using large language models for radiology report generation.

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