[Remote] Implementation Manager at Rad AI

United States

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$85,000 – $120,000Compensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, Artificial Intelligence, SaaSIndustries

Requirements

Candidates should have at least 2 years of relevant experience in project management, implementation management, or technical project management, preferably within a healthcare or healthcare IT environment. Strong project management, organizational, people management, coaching, and communication skills are essential, along with practical knowledge of SaaS solutions, implementations, and technical concepts. An eagerness to learn and adapt is also required.

Responsibilities

The Implementation Manager will lead the deployment of Rad AI products to radiology practices and health systems, ensuring a smooth onboarding process by managing project timelines, dependencies, and communications. This role involves planning, monitoring, and managing complex customer-facing projects, defining tailored project plans, and resolving issues through data-driven decision making. Responsibilities also include understanding customer workflows, gathering requirements, building partnerships, ensuring milestone delivery, performing risk management, leading calls, and collaborating with internal teams for project success. Additionally, the manager will contribute to building world-class implementation practices and documentation.

Skills

Software Implementation

Project Management

Customer Success

Client Relationship Management

SaaS Implementation

Healthcare Technology

Radiology

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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