Rad AI

Director of GTM Finance

United States

$220,000 – $240,000Compensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Healthcare, Artificial Intelligence, Healthtech, SaaSIndustries

Requirements

The ideal candidate will have 8+ years of experience in FP&A, Strategic Finance, or Sales Finance within a SaaS or high-growth technology company, with a strong emphasis on B2B experience. A deep understanding of SaaS GTM metrics such as pipeline coverage, win rates, CAC, LTV, and productivity ratios is essential. The role requires strong modeling, forecasting, and analytical skills, with the proven ability to distill insights into executive-ready recommendations and influence at all levels, especially with Sales and Marketing executives. Experience in building and scaling GTM planning and reporting processes is also necessary.

Responsibilities

The Director of GTM Finance will partner with the CFO, CRO, and senior leadership to drive revenue growth and commercial excellence, acting as the finance owner for the go-to-market engine. Key responsibilities include providing financial insight across Sales, Marketing, Partnerships, and Customer Success, managing GTM forecasting (bookings, pipeline coverage, win rates, sales cycle analysis, productivity metrics), and leading annual and quarterly planning for headcount, capacity, quota deployment, and compensation structures. The role involves building and maintaining SaaS unit economics models, analyzing sales and marketing funnel efficiency, collaborating with RevOps on sales capacity planning, and providing strategic insights on pricing, packaging, and partner economics to maximize revenue growth and margin profile. Additionally, the Director will build GTM financial models for scenario planning and board-level reporting, serving as a trusted advisor to GTM leadership.

Skills

Go-to-market strategy
Financial planning
Financial analysis
Revenue growth
Commercial excellence
Pipeline management
Sales forecasting
Customer upsell
Customer renewal
Financial modeling
Budgeting
Forecasting
Strategic planning
Data analysis
Business partnering
CFO
CRO

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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