Growth Product Manager at Rad AI

Seattle, Washington, United States

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Not SpecifiedCompensation

N/AExperience Level

N/AJob Type

Not SpecifiedVisa

N/AIndustries

Requirements

3–6+ years in product management in a growth related role
Experience with consumer or SaaS products (ideally with product-led growth or freemium model)
Deep data fluency — comfortable with analytics tools (e.g., Amplitude, Mixpanel, Looker), SQL, funnel & cohort analysis
Strong sense of product craft — understanding of UI/UX, ability to critique flows, care about simplicity, clarity of copy, reducing friction
Experience running and interpreting A/B / multivariate experiments and leveraging tools like Statsig
Ability to work cross-functionally and lead without formal authority
Excellent communication (written and verbal) and ability to synthesize complex findings into clear takeaways
Technical understanding of web and mobile apps, APIs, performance tradeoffs
Comfort in ambiguity, prioritization in resource constrained environments

Responsibilities

Define, prioritize, and execute growth initiatives, experiments, and features that improve acquisition, activation, retention, engagement, and monetization
Design, launch, and analyze A/B tests, funnel tests, multi-variant experiments, and user segmentation experiments
Identify key growth bottlenecks via funnel analysis, cohort analysis, user behavior analytics, qualitative research, and hypothesis generation
Collaborate with marketing and comms coordinate acquisition channels (paid, organic, referral, partnerships) with in-product hooks
Partner closely with UX/UI designers and front / back end engineers to build intuitive, high-quality growth surfaces (onboarding flows, upsells, notifications, recommendation engines, etc.)
Translate customer feedback, user interviews, and usability testing into product requirements and priorities
Define and monitor guardrail metrics to ensure responsible growth (e.g., quality, retention, engagement)
Build roadmaps for growth initiatives, and communicate tradeoffs and data-driven decisions to stakeholders
Track and report on key growth metrics and reflect learnings in product iterations
Ensure smooth rollouts, monitor performance, and iterate quickly

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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