Rad AI

Senior Technical Product Manager

United States

$165,000 – $210,000Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Healthcare, Artificial Intelligence, Medical ImagingIndustries

Requirements

Candidates should possess a Bachelor’s degree in Computer Science, Engineering, Biomedical Informatics, or a related technical field, and have at least 5 years of experience in product management, with 3+ years focused on technical or platform-level products within healthcare or enterprise software. Strong experience in healthcare integrations, including hands-on work with systems like Epic Radiant, PowerScribe, or PACS platforms, and a thorough understanding of real-time clinical workflows is required.

Responsibilities

As a Senior Technical Product Manager, you will lead product strategy and development for critical platform integrations with RIS, PACS, and EHR systems, translating customer needs and regulatory requirements into technical product specifications and delivery plans. You will drive alignment between cross-functional teams on technical architecture, workflow impact, and customer rollout strategies, collaborating directly with healthcare IT teams, radiologists, and implementation leads to ensure seamless deployments. Additionally, you will own the success of your product area through prioritization, documentation, and iteration, define KPIs and product health indicators, and contribute to Rad AI’s broader platform strategy, bringing a systems mindset to interoperability and clinical usability.

Skills

AI
Healthcare
Radiology workflows
System integrations
Product management
Technical leadership
Deep system integration

Rad AI

AI-driven software for radiology workflows

About Rad AI

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 seamlessly into existing workflows, making it easier for radiologists to manage their tasks. Unlike competitors, Rad AI emphasizes data security and patient privacy, being SOC 2 Type II and HIPAA certified. The company's goal is to provide reliable AI-driven solutions that streamline healthcare processes and improve patient outcomes.

San Francisco, CaliforniaHeadquarters
2018Year Founded
$76.8MTotal Funding
SERIES_BCompany Stage
AI & Machine Learning, HealthcareIndustries
51-200Employees

Benefits

Health Insurance
Health Savings Account/Flexible Spending Account
401(k) Retirement Plan
Paid Holidays
Remote Work Options
Unlimited Paid Time Off

Risks

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.

Differentiation

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.

Upsides

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.

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