VP of Sales at Rad AI

Seattle, Washington, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Technology, SaaSIndustries

Requirements

Experience scaling revenue from tens of millions to hundreds of millions in an executive leadership role
History of successfully building out a small team to an organization that crosses BDRs, AEs, and Sales Directors
Proven track record of building and scaling high-performing sales teams in a fast-growth environment
Track record in taking a prosumer business, accelerating it, and expanding it into an enterprise SaaS model
8+ years of experience in B2B SaaS sales, with 5+ years in a senior leadership role
Strong strategic thinking and execution skills, with experience driving both inbound and outbound sales motions in the early stages to a flywheel
Hands-on experience with CRM platforms (e.g., Salesforce, HubSpot) and sales tech stacks
Excellent communication, presentation, and negotiation skills
Familiarity with productivity, AI, or collaboration software markets is highly desirable

Responsibilities

Develop and execute Read AI’s sales strategy to drive revenue growth across enterprise, mid-market, and self-serve segments
Build, lead, and scale a high-performing sales team with a strong culture of ownership and accountability
Own forecasting, pipeline management, and reporting to ensure accuracy and performance against goals
Establish and optimize sales processes, systems, and tools (CRM, sales engagement, etc.)
Collaborate cross-functionally with Marketing, Product, and Customer Success to align go-to-market efforts
Engage directly with key prospects and customers to close deals and shape our value proposition
Define go-to-market strategies for new product launches and customer segments
Monitor market trends, competitor activity, and customer feedback to inform strategy and positioning
Ensure operational excellence across all stages of the sales funnel and customer journey

Skills

Sales Strategy

Sales Leadership

Team Building

Go-to-Market

Revenue Forecasting

Pipeline Management

Enterprise Sales

Mid-Market Sales

Cross-Functional Collaboration

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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