Implementation Project Manager, Rad AI
$125-160k
+ Equity
More information about location
Generative AI for Radiologists
Open for applications
Generative AI for Radiologists
201-500 employees
Open for applications
$125-160k
+ Equity
More information about location
201-500 employees
Company mission
To empower radiologists with AI — saving radiologists time, reducing burnout, and helping to improve the quality of patient care.
Role
Who you are
- We are looking for an Implementation Project Manager with deep experience leading software implementation projects
- You bring a proactive, “can do” mindset and thrive in a fast-paced, high-growth environment where adaptability and collaboration are essential
- Bachelor’s degree or above
- At least 2 plus years of relevant project management, implementation management, technical project management, or similar client-facing experience, preferably within a healthcare/healthcare IT environment
- Strong project planning and execution skills, including timeline, scope, and risk management
- Prior experience or familiarity with radiology workflows and/or radiology-specific healthcare IT
- Prior professional consulting or healthcare software implementation experience
- Prior experience or familiarity with radiology workflows
- Prior experience or familiarity with HL7, FHIR, and EHRs
- Excellent people/relationship management and communication skills, with the ability to hold others accountable
- Practical working knowledge of SaaS solutions, implementations, and technical concepts
- Eagerness to continuously learn, adapt, improve, and help others do so in a fast-paced, ever-changing environment
- Ability to build and maintain relationships with all functions and areas of the company to share in challenges and successes, and work collaboratively towards common goals
- Proficiency with project management tools
What the job involves
- As Rad AI’s award-winning platform continues its rapid adoption, you will play a key role in guiding customers through successful deployments
- Work independently to plan, monitor, and manage multiple complex customer-facing projects
- Lead the end-to-end delivery of Rad AI’s products to radiology practices and health systems, from kick-off to go-live and transition to support
- Facilitate Discovery sessions to understand client workflows, requirements, and success criteria
- Develop detailed project plans, including timelines, milestones, and resource needs
- Coordinate cross-functional teams, including Product, Engineering, and Integration resources, to meet project objectives and deadlines
- Serve as the primary client-facing contact throughout the implementation
- Ensure a smooth onboarding process by managing project timelines, dependencies, and communications with executive, clinical, and IT stakeholders
- Track and manage feature requests, ensuring clear communication, documentation, and prioritization
- Monitor project health, proactively identify risks, and escalate blockers, as needed
- Issue resolution and mitigation strategies based on data-driven decision making
- Conduct weekly status meetings with internal and external stakeholders
- Collaborate and coordinate with Rad AI’s product, engineering, and customer success teams for project goal setting, data integration, testing, and product feedback
- Provide ongoing updates to leadership throughout the project, via dashboards and reports
- Partner with cross-functional teams, including Support and Client Success, to ensure customers are prepared for go-live and long-term success
- Suggest process improvements and help with maintaining onboarding templates, documentation, and best practices
- Contribute to building a world-class implementation organization that aims to exceed customer expectations with attentive, responsive, and knowledgeable service
Our take
Burnout seems to be reaching unprecedented and unsustainable levels amongst physicians, and radiologists are one of the most heavily impacted groups. A number of surveys have show that around 50% of them suffer from high workloads, which are exacerbated by outdated software and laborious work processes.
Rad AI, which was co-founded by the youngest radiologist in US history, is making serious inroads in alleviating these issues with AI. Its two main products are designed to save time: one by automatically generating impressions from dictated findings, and the other by automating patient follow-ups.
The company has been adding updates to its reporting software and is on a rapid growth trajectory, landing a number of respected radiology practices as customers and claiming industry awards. It has also secured major investment towards sustaining this momentum moving forwards, as more practices turn to AI to positively impact their patient care.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
40% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
May 2025
$8m
SERIES C
Jan 2025
$60m
SERIES C
Total funding: $147m
Company benefits
- 100% health, dental, & vision
- Flexible PTO
- WFH stipend
- 401k plan
- Stock options
- Socials & off-sites
Company HQ
2nd and Market, San Francisco, CA
Leadership
Doktor Gurson
(Co-Founder & CEO)Co-founded and was CEO of portable smartphone charger startup Doblet (acquired by Alturki Holding). Has also founded a number of website hosting and migration companies. Is an Advisor to GoLinks, and BillionToOne.
Dr. Jeff Chang
(Co-Founder)Youngest radiologist and second youngest doctor in US history, ER Radiologist at Greensboro Radiology. Was Co-founding CTO of Doblet. Has been an Advisor to medical device company Ikigai as well as a number of other startups.
Share this job
View 14 more jobs at Rad AI