[Remote] Lead Product Manager, Artificial Intelligence at Rad AI

United States

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Not SpecifiedCompensation

N/AExperience Level

N/AJob Type

Not SpecifiedVisa

N/AIndustries

Requirements

Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field
10+ years of product management experience, including 3+ years leading AI/ML or data-driven products in production environments
Proven success building and launching AI-powered features at scale, ideally within enterprise SaaS or healthcare technology
Strong understanding of machine learning lifecycles, model evaluation, and human-in-the-loop systems
Excellent communicator who can translate complex AI concepts into clear product strategy and user value
Highly collaborative and comfortable working with ML, data, and engineering teams

Responsibilities

Own the product roadmap for AI-driven features and experiences, from ideation through launch and iteration
Collaborate with ML and data science teams to translate model capabilities into intuitive, high-value user workflows
Drive AI productization—including model evaluation, performance monitoring, safety, and explainability frameworks for clinical environments
Partner with engineering and design to create user experiences that build trust in AI outputs and integrate seamlessly into radiology workflows
Define and track key success metrics, including accuracy, latency, adoption, and user satisfaction
Work with customers and radiologists directly to understand clinical pain points and validate product hypotheses
Contribute to company-wide AI strategy, helping shape how Rad AI leverages large-scale data and generative AI models across our product lines
Collaborate cross-functionally with regulatory, privacy, and security teams to ensure AI systems meet healthcare compliance and safety 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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