[Remote] VP of Revenue Operations at Rad AI

United States

Rad AI Logo
Not SpecifiedCompensation
N/AExperience Level
N/AJob Type
Not SpecifiedVisa
N/AIndustries

Requirements

  • Strategic leader with experience shaping executive decisions
  • Experience with bottoms-up and top-down revenue modeling
  • Experience with quota setting, capacity planning, and ramp modeling
  • Experience with compensation strategy and design
  • Experience building and maintaining forecasting processes
  • Experience with predictive insights and "what-if" scenario modeling
  • Experience optimizing GTM technology stacks (HubSpot, Gong, Clari, etc.)
  • Experience providing data-driven insights to cross-functional teams
  • Experience delivering board and investor-ready dashboards and forecasts
  • Analytical rigor and business acumen
  • High EQ and a challenger mindset
  • Ability to solve complex, cross-functional problems

Responsibilities

  • Be embedded in executive planning, shaping decisions proactively
  • Partner with Finance to lead revenue planning and forecasting
  • Align variable compensation plans with desired behaviors
  • Build and maintain forecasting processes to instill confidence
  • Model "what-if" scenarios across pricing, pipeline, productivity, and headcount
  • Oversee GTM technology optimization and roadmap
  • Provide data, shared language, and actionable insights to cross-functional teams
  • Deliver defensible dashboards and forecasts to communicate business performance

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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