Sales Engineer

To be considered for the Sales Engineer role at Rad AI, candidates should have at least 5 years of experience in a sales engineering or technical sales position, particularly in a SaaS or healthcare technology environment. A Bachelor’s degree in Engineering, Computer Science, or a related field is required. We're looking for individuals with strong communication skills, a technical background, and familiarity with radiology systems and healthcare IT.

The Sales Engineer at Rad AI will be responsible for bridging the gap between our innovative AI products and client needs. This includes collaborating with sales to understand customer requirements, conducting technical presentations, and providing post-sales support to ensure client satisfaction. If you thrive in a role that combines technical expertise with sales support, this position is tailor-made for you.

A Sales Engineer at Rad AI plays a critical role in driving the adoption of our radiology AI solutions by delivering insightful product demonstrations and proposals. They also provide valuable feedback to product management, influencing product development while ensuring that our technology effectively meets client needs. Your efforts can directly translate to better healthcare outcomes for patients across the nation!

Rad AI is dedicated to transforming healthcare through AI, aiming to improve efficiency and patient outcomes. As a Sales Engineer, your mission will align closely with this goal, as you'll work directly with healthcare partners to showcase how our solutions empower physicians and enhance patient care, enabling you to make a meaningful impact in the industry.

Rad AI provides a compelling array of benefits for Sales Engineers, including comprehensive medical, dental, vision, and life insurance, an HSA with employer match, a flexible PTO policy, and 401(k) plans. Additionally, the company promotes a remote-first culture, offering a flexible work environment that supports personal growth and well-being.

While previous experience in healthcare AI technology is desirable for the Sales Engineer role at Rad AI, a strong technical background and the ability to articulate complex concepts is equally essential. Candidates with a passion for the intersection of healthcare and technology are encouraged to apply, as we value diverse experiences.

For the Sales Engineer position at Rad AI, excellent communication skills are vital for engaging effectively with clients. A strong technical foundation allows you to bridge knowledge gaps, while problem-solving abilities enhance customer experiences. An entrepreneurial spirit and experience managing multiple priorities in a fast-paced environment are also important traits for success in this role.

When asked this question, it's essential to show your ability to break down technical jargon into simple terms. Focus on using analogies or everyday examples to make your explanation relatable. You might say something like, 'I would compare the AI algorithm to a doctor analyzing patterns, making it easier for non-technical stakeholders to understand its function.'

Frame your answer by outlining the project's objectives, your role, and the outcomes. Use the STAR method (Situation, Task, Action, Result) to structure your response. Highlight how you collaborated with cross-functional teams and how your contributions directly led to successful client satisfaction and product adoption.

Detail how you proactively engage with industry news, attend relevant conferences, join professional organizations, and participate in online forums. You might say, 'I regularly follow industry publications, subscribe to newsletters, and attend webinars to ensure I stay informed about emerging trends in healthcare technology and AI.'

Share specific techniques you utilize, such as active listening and validating client concerns. Discuss how you tailor your responses based on the client's understanding and concerns. For example, you could say, 'If a client is hesitant about implementation, I provide real-life case studies that address their specific concerns.'

Explain your process for understanding customer requirements, such as conducting pre-call research and asking targeted questions during initial meetings. You might illustrate this by saying, 'Before a demo, I usually have a discovery call where we delve into their pain points and tailor the demonstration to align with their specific challenges.'

It's crucial to maintain professionalism. You can respond by saying something like, 'If I encounter a question I can't answer on the spot, I assure the client that I'll research it further and follow up with them as soon as I have the information, ensuring that I maintain their trust and engagement.'

Emphasize how important teamwork is in your role. Discuss how you work with sales, product management, and engineering to ensure the client's needs are met. Mention something like, 'Collaboration allows us to leverage each other's strengths to deliver the best solutions for our clients and effectively address their concerns.'

Speak about a situation where customer insights led to product enhancements. Use a specific example and detail your approach. Say something like, 'In my previous role, I gathered feedback about a particular feature and made a convincing case to the product team that led to an upgrade, resulting in increased customer satisfaction.'

Outline your prioritization method, such as using project management tools or lists. Highlight how you adapt to rapidly changing needs. You can say, 'I often assess deadlines, project impact, and urgency, adjusting my focus as required while communicating transparently with my team about any challenges I face.'

Share your passion for the intersection of technology and healthcare by focusing on the potential impact on patient lives. You could say something like, 'The ability of AI to enhance diagnostic accuracy and improve efficiency is genuinely exciting, and I love being part of a field that has such a profound effect on people's well-being and healthcare outcomes.'