We have raised $80+ million to date from venture funds and just closed on our series B financing with investors Khosla Ventures, Gradient (Google’s AI fund) and ARTIS. We’ve also formed a partnership with Google to collaborate on the future of generative AI to redefine healthcare. Currently, more than 1/3 of radiology groups and healthcare systems, including Kaiser Permanente, HCA Healthcare, and Geisinger, now leverage the latest Gen AI advancements from Rad AI. We're recognized as one of the most promising healthcare AI companies by both CB Insights and AuntMinnie. Come join us in transforming healthcare with AI!
Founded by the youngest US radiologist in history, Rad AI empowers physicians with Al to save time, reduce burnout, and improve the quality of patient care. By combining our deep expertise in healthcare and AI and using one of the largest proprietary radiology report datasets in the world, our AI has uncovered hundreds of new cancer diagnoses for patients and reduced the error rate in tens of millions of radiology reports by nearly 50%.
Why Join Us:
As a Sales Engineer at Rad AI, you’ll play a critical role in bridging the gap between our cutting-edge radiology AI products and the needs of our clients. You’ll work closely with both our sales and product teams to deliver technical expertise and solutions that drive adoption and satisfaction among our healthcare partners. This position offers a unique opportunity to be at the intersection of technology and healthcare, contributing to the advancement of medical AI technologies.
What You'll Be Doing:
Collaborate with the sales team to understand customer requirements and provide sales support
Conduct product demonstrations and technical presentations to showcase the value of Rad AI solutions
Develop and maintain a deep understanding of Rad AI's product offerings and competitive landscape
Assist in the creation of detailed proposals and RFP responses that highlight our technical capabilities
Work with product management and engineering to provide customer feedback and influence product development
Ensure seamless integration and implementation of Rad AI solutions in customer environments
Provide post-sales support and training to ensure client satisfaction and product effectiveness
Stay updated on industry trends, emerging technologies, and competitor activities
Who We're Looking For:
Passionate about Rad AI’s mission and excited about the impact of AI in healthcare
Strong technical background with the ability to explain complex concepts to both technical and non-technical stakeholders
Excellent communication and presentation skills to effectively engage with clients and internal teams
Entrepreneurial spirit with a proactive approach to problem-solving and customer engagement
Ability to work in a fast-paced, high-growth environment and manage multiple priorities
5+ years of experience in a sales engineering or technical sales role, preferably in a SaaS or healthcare technology company
Bachelor’s degree in Engineering, Computer Science, or a related technical field
Experience with radiology systems, healthcare IT, and AI technologies is highly desirable
Proven track record of successful customer interactions and project implementations
Familiarity with CRM systems and sales tools; experience with HubSpot is a plus
This Would Be Nice to Have:
Advanced degree in a technical or business discipline
Experience in a high-growth startup environment
Knowledge of data integration and API solutions
Strong analytical skills and ability to leverage data to inform decisions
Come join our world-class team as we build and deploy AI solutions that will make a difference in millions of people’s lives. Our team is mission-driven and focused on transparency, inclusion, close collaboration, and building an incredible team.
If you're passionate about driving innovation and delivering impactful reporting solutions, we'd love to hear from you!
Rad AI offers a variety of benefits, including:
Comprehensive Medical, Dental, Vision & Life insurance
HSA (with employer match), FSA, & DCFSA
401(k)
11 paid company holidays
Location-flexibility (remote-first company!)
Flexible PTO policy
Annual company-wide offsite
Periodic team offsites
Annual equipment stipend
At Rad AI, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Please be vigilant regarding job scams. We advise all candidates to apply directly through our official careers page. Our recruiters will use email addresses with the domain @radai.com or no-reply@ashbyhq.com.
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At Rad AI, we're on the cutting edge of healthcare technology, and we're looking for a passionate Sales Engineer to join our dynamic team! If you have a knack for bridging the gap between advanced AI solutions and clientele needs, this could be the perfect fit for you. As a Sales Engineer, you'll collaborate closely with our sales and product teams, leveraging your technical expertise to ensure our innovative radiology AI products meet and exceed client expectations. You'll conduct engaging product demonstrations and technical presentations, showcasing how our solutions transform healthcare. Your role will also involve diving deep into our offerings, creating detailed proposals, and ensuring seamless integration of our technology into customer environments. With a strong emphasis on client satisfaction, you'll play a critical role in providing post-sales support and training, helping healthcare partners capitalize on the full potential of Rad AI's capabilities. Enjoy a flexible, remote work environment while making a tangible impact in the healthcare sector. Join us at Rad AI, where innovation meets compassion, and contribute to our mission of redefining healthcare through AI advancements!
Our mission is to empower radiologists with AI — saving radiologists time, reducing burnout, and helping to improve the quality of patient care.
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