• Participate in and lead the entire biosignal-based algorithm development lifecycle for medical devices including specifications and requirements gathering, data curation and labeling, development, failure-analysis, production, maintenance, and documentation. • Select, implement, and develop the most appropriate method for each problem, knowing when to apply deep learning techniques and when other methods are more effective. • Enhance our internal deep learning and machine learning tools to boost team efficiency, introduce new model architectures and algorithmic techniques, and refine the codebase to encourage reusability where needed to enable rapid experimentation. • Spread and improve our best practices to ensure algorithm implementations are user-friendly, well-documented, and thoroughly tested, including unit tests, comprehensive documentation, CI, and non-regression testing. • Present results to key stakeholders and assist them in utilizing algorithms for client engagement. • Support the client-facing projects to understand and shape the impact Beacon algorithms have for our customers, both for existing deployed algorithms, and future algorithm development.

• Lead the development of our AI platform, focusing on scalability, speed, and user experience. • Architect and develop front-end solutions using React to create smooth, engaging, and intentional user experiences. • Implement back-end infrastructure with a focus on speed, scalability, security, and seamless integration with various platforms via robust API connections. • Utilize DevOps practices to manage the deployment pipeline, ensuring efficient, reliable, and secure software delivery. • Collaborate with UX/UI Designers to translate web designs into functional, intuitive user interfaces. • Work closely with Data Scientists to ensure accurate data collection, analysis, and application within the platform. • Participate in the entire application lifecycle, from coding to debugging and testing, with an emphasis on quality and performance. • Maintain and optimize the performance of existing applications. • Stay up-to-date with emerging technologies and explore potential integrations to enhance our operations.

• Directs short-term multi-domain software and systems engineering plans that translate enterprise strategy into sequenced delivery priorities, operating targets, and customer commitments • Leads multiple teams of managers and directors by setting objectives, delegating authority, confirming spans and structures, and holding leaders accountable for delivery, quality, risk, and operational performance • Oversees budget and investment decisions across engineering domains by rebalancing resources • Shapes enterprise performance mechanisms, including objectives, key results, service measures, and operating reviews • Implements enterprise standards, controls, and reusable operating practices that reduce fragmentation • Sets executive decision points by presenting options, recommendations, and consequences on scope, funding, priorities, and risk tradeoffs for complex engineering and systems initiatives • Manages leadership capability and talent outcomes across the portfolio by calibrating performance, building succession pipelines, and making talent decisions that strengthen organizational capacity over time

• Develop service-oriented software using C# using .NET • Demonstrated experience using agentic AI as a fundamental tool integrated into daily workflows • Be involved primarily in the service and database layers of the software • Analyze, create and review functional requirements for products based on use cases described by Product Management • Ensure the product’s scalability, reliability, consistency, and performance • Collaborate with other cross-functional team members to support the operation and maintenance of products • Analyze complex software systems and collaborate with others to support the operation and maintenance of products and improve the quality of those systems • Collaborate with other team members, teams, and stakeholders in the design, implementation, and maintenance of product functionality, creating efficient, reliable, reusable, and performant code • Propose and evaluate technical solutions as part of research spikes and AI driven design • Review, debug, and provide feedback on code written by other team members