[Remote] Lead Product Manager, Impressions at Rad AI

United States

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Not SpecifiedCompensation

N/AExperience Level

N/AJob Type

Not SpecifiedVisa

N/AIndustries

Requirements

10+ years of experience, including 5+ years product management experience
3+ years leading AI/ML products in production
Proven experience shipping complex products in enterprise or workflow-heavy environments
Strong understanding of ML evaluation, feedback loops, and continuous improvement
Excellent communicator who can translate high technical complexity into customer-facing value
Highly collaborative across engineering, ML, design, clinical, and go-to-market teams

Responsibilities

Own the product roadmap for Rad AI Impressions from ideation through launch and continuous improvement
Collaborate with ML research, data science, and engineering teams to convert model improvements into meaningful workflow benefits
Optimize accuracy, stability, and efficiency of AI-generated impressions across subspecialties and modalities
Design human-in-the-loop review workflows that maximize radiologist trust and efficiency
Define and measure success metrics such as time saved per read, accuracy, adoption, radiologist satisfaction, and performance stability
Conduct deep customer and radiologist discovery to understand workflow variation and reporting style needs
Work with implementation and customer success to support successful rollouts and monitor real-world performance
Ensure compliance with privacy, security, clinical safety, and regulatory standards

Skills

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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