Engineering Manager – Veye Lung Nodules

About Aidence

At Aidence, we rally 90+ of the brightest data scientists, software engineers, medical, regulatory, and commercial experts, all driven by the purpose of drastically improving medical diagnostics using AI.

Aidence is part of RadNet’s Artificial Intelligence division. In seven years of activity, we built a solid track record of deployments and gained the trust of physicians who recognise the problem we are solving for them. Our solution, focusing on early lung cancer diagnosis, is currently used in screening programmes and routine clinical practice across Europe and is pending FDA approval.

We have become the strong company we are today because our team represents a wide variety of cultures and backgrounds. We believe that our differences complement each other and, by actively promoting inclusion at all levels throughout our organisation, we offer equal chances to everyone.

Are you a team player, humble, energetic, and passionate about our mission? Do you want to be part of a fast-growing scale-up that is making a difference in healthcare?

Then please continue reading!


The technology department covers a number of disciplines, from data science to product development, including testing and platform automation.

The team you will lead owns the services that run our AI models and generates the human-readable responses that the medical personnel sees. Naturally, this team is at the core of everything we do and its reliability, performance, and security are paramount.

  • Manage a team of 4 software engineers, including planning and code reviews
  • Own the delivery and ensure that all requirements (functional, non-functional, regulatory, …) are met
  • Ensure that the team adheres to Aidence’s technical strategy and best practices
  • Work closely with your product management counterpart
  • Work with the Customer Success Engineering team to integrate customer feedback and speed up our go-to market while reducing bugs and rework
  • Drive team efforts in its migration from Cloud VM to Kubernetes and Serverless
  • Report to the Senior Engineering Manager, be part of the Product Engineering division (together with other 2 EMs) and Tech Leadership team
  • Participate in cross-team activities and architecture forums

What we value

  • Ability to rapidly learn from and contribute to the learning of others
  • Apply great and creative problem-solving skills
  • Strong analytics mindset
  • Drive and determination to continually choose appropriate accuracy/error measures and evaluation strategy
  • Ability to work independently and be self-driven
  • Ability to structure your work effectively
  • Not afraid of working inside a strong regulatory framework and disciplined about complex testing needs
  • Ability to make well-reasoned trade-offs between velocity and quality, understanding when to work for higher quality and when to optimize for time-to-market


Required Experience

  • 2+ years of working experience in a similar managerial role
  • Several years of experience as a Backend Engineer
  • Experience developing production code using GCP or AWS or Azure
  • Experience with distributed systems in production
  • Experience operating services and setting Service Level Objectives
  • Experience working in an Agile environment leading a product development team
  • Fluent in English

Nice to have

  • Fluent with Python
  • Experience in the Medtech field
  • Experience with event-driven architecture
  • Experience with Kubernetes and horizontal scaling

What we offer

  • A chance to have a real impact on the fight against cancer!
  • Salary range: 90-120k€
  • Remote-first – you can work from the Netherlands (full-time) or work remotely worldwide (contractor). We only ask that you come over 4 times a year for our Quarterly Company offsites.
  • 25 vacation days (on a full time basis)
  • Lots of autonomy, lots of responsibility
  • Very smart, passionate colleagues
  • A modern technology stack. You will use Google Cloud Platform with a strong preference for cloud-native and serverless.

Interview Process

Our selection process has the following interview stages:

  • Introductory phone interview with Recruitment (45min)
  • Phone interview with the SEM (1h)
  • Competency assessment (2h) covering:
    • Technical Skills
    • Management & Leadership
    • Stakeholder Management
  • Cultural fit interview with the CTO (1h)

Our philosophy is that we respect the time of our candidates, we won’t ask you to do an interview just for show, we won’t make you wait indefinitely and we will always give you feedback. We want to make a decision (either successful or not) in a matter of a couple of weeks, better if less.

Don’t meet every single requirement?

Studies have shown that women and people of colour are less likely to apply to jobs unless they meet every single qualification, while men on average, apply when they meet 70% of the qualifications.

So if you’re excited about this role, but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

Apply here

Discover the benefits of AI in lung nodule management at RSNA 2022! Date: 27 Nov - 1 Dec


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