Full-Time

Technical Writer

Confirmed live in the last 24 hours

Rad AI

Rad AI

51-200 employees

AI-driven software for radiology workflows

AI & Machine Learning
Healthcare

Mid

Remote in USA

Remote-first company.

Category
Technical Writing
Content & Writing
Required Skills
Agile
Requirements
  • 3+ years of experience as a technical writer in a fast-paced, Agile development environment, preferably in healthcare, AI, or a tech-focused startup
  • Excellent communication, writing, and presentation skills with a strong focus on clarity and user needs
  • Proven ability to create a wide range of documentation types, from technical specifications to user guides, tailored to various audiences
  • Ability to thrive as a cross-functional team member, working closely with engineers, product managers, and customer success teams
  • Technical background to effectively communicate complex topics in an accessible way, particularly in an AI or data-driven environment
  • A passion for making complex information digestible, particularly in support of healthcare and AI applications
Responsibilities
  • Develop and maintain comprehensive internal documentation, including feature release notes, specifications, and technical guidelines for new features and integrations, ensuring clarity and consistency for internal teams
  • Support competitive analysis by producing comparative documentation that highlights Rad AI’s capabilities and differentiates them from competitors
  • Create and manage high-quality external documentation, such as RFPs, user manuals, and self-help guides, aimed at both technical and non-technical audiences
  • Develop developer-focused documentation to facilitate integration within Rad AI’s ecosystem, including API references, SDK guidelines, and technical workflows
  • Collaborate closely with cross-functional teams—product, engineering, and customer success—to ensure all documentation is accurate, user-focused, and aligned with Rad AI’s mission
  • Draft and refine component and content guidelines to establish standards across user-facing content and interfaces

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 improves reporting accuracy. This software integrates into existing workflows, making it easier for radiologists to manage their work. Unlike competitors, Rad AI focuses specifically on radiology and medical imaging, providing tailored solutions for large health systems, radiology groups, and individual radiologists. The company's goal is to streamline healthcare 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

14%

1 year growth

44%

2 year growth

110%
Simplify Jobs

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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