Account Executive at Rad AI

Seattle, Washington, United States

Rad AI Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
SaaS, AI, TechnologyIndustries

Requirements

  • Minimum of 3-5 years of experience in B2B sales, with a focus on SaaS or technology solutions
  • Proven track record of meeting or exceeding sales targets in an early-stage startup environment, particularly within the SaaS industry
  • Strong background in B2B sales, particularly within the SaaS industry
  • Ability to thrive in a fast-paced, early-stage startup environment

Responsibilities

  • Quickly and effectively respond to a high volume of inbound leads, qualifying and converting them into sales opportunities
  • Identify additional potential customers through various channels, including cold outreach and networking
  • Conduct compelling product demonstrations and presentations to potential customers, showcasing the value of Read AI’s solutions
  • Manage and maintain a robust sales pipeline, ensuring accurate and timely forecasting of sales activities
  • Build and maintain strong relationships with key stakeholders and decision-makers at prospective customer organizations
  • Lead negotiations and close deals, ensuring favorable terms for both the customer and Read AI
  • Work closely with the marketing and product teams to align on go-to-market strategies and provide feedback on market trends and customer needs
  • Collaborate with the customer success team to ensure smooth onboarding and implementation for new customers
  • Track and report on sales performance metrics, providing regular updates to senior management

Skills

B2B Sales
SaaS Sales
Inbound Lead Management
Lead Qualification
Prospecting
Cold Outreach
Networking
Sales Presentations
Product Demonstrations

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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