Senior Product Manager at Rad AI

Seattle, Washington, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, SaaS, Collaboration ToolsIndustries

Requirements

5+ years in product management (or related roles), with a focus on consumer SaaS applications
Proven success scaling products from early stage to growth, with 100k+ MAU or equivalent impact
Hands-on with tools like Amplitude, Mixpanel, or Looker; confident in setting guardrail metrics and reading results
Clear perspective on simplicity, progressive disclosure, writing, and UX craft; can articulate why an interaction works
Strong partnership skills with Design, Research, and Engineering; comfortable working within design systems
Familiarity with modern front-end stacks and performance trade-offs
Skilled at writing clear specs, concise UX copy, and user-facing content
Bachelor’s degree in a relevant field; advanced degree a plus

Responsibilities

Own and evolve Read’s most user-facing product experiences, from discovery to launch to iteration
Drive activation, retention, and product-led growth (PLG) by improving onboarding, notifications, viral loops, and workflows
Partner with Design and Engineering to deliver high-quality, intuitive UX surfaces across web and mobile
Use data and experimentation (A/B, multi-variant) to inform decisions, size impact, and optimize key user flows
Translate customer insights into product decisions via lightweight research, interviews, and usability tests
Balance speed and quality by prioritizing scope while maintaining design and performance excellence

Skills

Product Management

SaaS

Consumer Products

UX Design

A/B Testing

Product-Led Growth

Onboarding

Notifications

User Research

Data Analysis

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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