Jobs at Signal 1

Lead product designer responsible for understanding customer needs, collaborating with engineering and product teams, prototyping workflows, creating high-fidelity designs, and maintaining a scalable design system for complex enterprise AI software.

Design and implement end-to-end security architecture for a healthcare AI platform across IAM, infrastructure, application, data, and cyber defense. Build Azure-native security controls, monitoring, alerting, and incident response capabilities; support SOC 2 and HIPAA compliance; embed security into the SDLC; conduct threat modeling, vulnerability assessments, and product security reviews; and collaborate with engineering, ML, infrastructure, executives, and healthcare customers.

Designs, builds, and operates Azure cloud infrastructure using infrastructure as code. Develops CI/CD pipelines, shapes end-to-end system architecture, troubleshoots production issues, builds internal automation tools, and maintains platform security, compliance, monitoring, backups, and reliability. The role also owns infrastructure projects through production and collaborates closely with software engineers.

Design, build, and evolve the frontend and backend of a cloud-based clinical AI platform; own architecture, break down ambiguous problems, and collaborate with Product, Design, ML, Security, and Infrastructure teams while integrating AI-assisted development workflows.

Support financial operations, conduct reporting, manage audits, liaise with external auditors, ensure compliance, and improve processes. Handle accounts payable and receivable tasks.

Lead end-to-end implementations of Signal1's AIMS at health systems, owning project plans, stakeholder communications, risk management, configuration, training, adoption, and handoff while coordinating engineering, product, and clinical partners.

Embed with partner health systems to deploy and customize Signal 1's AI Management System (AIMS). Connect to secure data, build monitoring and governance for predictive, generative, and agentic AI, develop bespoke agentic solutions, coordinate stakeholders, and convert field learnings into reusable platform components to improve safety and reliability in clinical workflows.

Build and own end-to-end ML features for an agent management platform in healthcare: design data models, build pipelines and backend services, integrate frontend when needed, ground and evaluate agent behavior using clinical data (FHIR/HL7), prototype with hospital partners, and create novel solutions for agent observability, evaluation, and continuous improvement.