Our client is a global innovative technology start-up based in Cambridge, MA, focused on delivering actionable health monitoring for all. Invented and founded in 2018 by Harvard astrophysicist, the company succeeds where traditional wearable biofeedback devices fall short.



At the core of their breakthrough technology is a revolutionary heart-health monitor and app, utilizing next-generation infrasonic sound-based technology™ accessible through a pair of everyday earbuds. This cutting-edge approach captures the deepest insights into your bio-signals, offering actionable guidance on stress management and empowering you to take control of your health, well-being, and performance.



The company envisions creating GPS for health and well-being – a dynamic platform that delivers real-time, precise health data and an engaging user experience that shapes behavior and drives better health outcomes.



Their ultimate goal is to provide people with actionable data to eliminate heart failure as the leading global cause of death just as glucose monitoring did for diabetes.



We invite you to join them in this important mission.



As the VP of Software Engineering you will lead the engineering team in developing and deploying high-quality software products and the evolution of companys’ suite of data, products, and services that meet business requirements and customer expectations.



Working cross-functionally, the VP of Engineering will partner with other senior leaders in engineering, product management, customer success, marketing, research, and other corporate functions to drive a clear and effective product roadmap, supported by a profitable and scalable business-to-business model.



While this role is designed as a remote position, we expect the candidate to be conveniently located within a commutable distance to Krakow office to facilitate in person meetings when necessary.


VP, Software Engineering
Location: Krakow or hybrid



Experience and knowledge



  • Master’s or Ph.D. in Computer Science, Engineering, Machine Learning, or a relevant field. Experience in software development, with a proven track record of delivering complex, high-quality software products.
  • Experience managing and scaling agile engineering teams and collaboration tooling such as Jira and Confluence.
  • Due to the nature of startup environments, the candidate must have excellent organizational skills, the ability to adapt quickly and eagerness to use a hands-on approach to support troubleshooting and problem solving.
  • Deep knowledge and experience with technologies around software architecture, cloud systems, mobile applications, embedded systems, including Python, and Kubernetes.
  • Experience contributing to platforms/applications that are SOC 2 or HIPAA compliant.
  • Strong leadership skills and the ability to inspire and motivate a team with ‘roll up your sleeves’ engineering willingness and capability.
  • Excellent communication skills, with the ability to communicate technical information to non-technical stakeholders.
  • Have experience working in the health & wellness and or regulated medical device development space with an US or international company with US customers.
  • Grasp of healthcare data intricacies.
  • Experience with post-launch product support with emphasis on reliability design, testing, and tracking.
  • Excellent project planning and management skills.
  • Excellent English communication skills (verbal & written).





  • Leading the engineering teams in developing and deploying high-quality software products and the evolution of our suite of data, products, and services that meet business requirements and customer expectations.
  • Continuing to improve engineering processes and practices that enhance team productivity, quality, and product predictability, and reliability.
  • Fostering a culture of innovation, continuous improvement, and knowledge sharing within the engineering team and across interdisciplinary teams.
  • Hiring and mentoring top engineering talent.
  • Managing engineering budgets and resource allocation to meet business objectives.
  • Reporting regularly on engineering progress, challenges, and opportunities to the executive team.
  • Anticipating potential problems that may impact system performance and drive the development and implementation of risk mitigation plans.
  • Ensuring fact-based scientific, engineering and analytical best practices and principles are implemented and utilized to accomplish tasks.
  • Ensuring effective technical and design reviews, evaluating and approving design changes to ensure customer and internal requirements are met.
  • Driving process improvements for efficient utilization of resources and compliance with quality and regulatory requirements.
  • Ensuring consistent communication amongst all levels.



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Edge Team
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