Engineering Manager

Cadence is the clinical AI company automating the treatment of chronic disease. Its Clinical Intelligence takes on the routine, high-volume work of chronic care – monitoring patients, surfacing risks, and coordinating action – so clinicians can focus on the decisions that require them.

Grounded in partnerships with more than 20 leading health systems, deep EMR integrations, dedicated medical group, and experience serving a population of more than 100,000 patients, the system learns from real-world care delivery, improving as it scales. Cadence has been recognized by TIME as one of the Top 100 HealthTech Companies and by LinkedIn as a Top Startup (#4, 2025).

The Role

We're hiring an Engineering Manager to lead and grow the team building Cadence's Clinical Intelligence platform, the AI system that helps clinicians deliver safe, evidence-based medication recommendations at scale. This role sits at the intersection of clinical, product, AI, and design partners, translating patient data, clinical protocols, and deterministic safety rules into production systems clinicians trust.

You'll take these capabilities from concept to production, meeting reliability and quality standards that approach those of medical devices.

What You’ll Do:

• Define and drive the technical vision and architecture for Cadence's Clinical Intelligence platform, balancing AI innovation with clinical safety, reliability, and explainability.
• Partner with clinical, product, design, and AI teams to shape the roadmap for clinician-supervised decision support and medication recommendation systems.
• Lead development of AI-powered clinical workflows that combine patient data, evidence-based protocols, deterministic safety rules, and clinician oversight into trusted decision systems.
• Hire, mentor, and grow a team of AI, backend, and full-stack engineers delivering safe, scalable clinical intelligence.
• Own the design, development, and operation of the services, infrastructure, and evaluation frameworks powering medication recommendation and clinical decision support engines.
• Establish engineering standards, testing strategies, observability, and validation processes that ensure clinical correctness, system reliability, and regulatory readiness.
• Drive a culture of quality, ownership, and continuous improvement across the engineering team.

What You Need:

5+ years of experience in software engineering, including 2+ years in a people management role.

Experience leading development of complex software products from 0 to 1, preferably within healthcare, enterprise SaaS, or another regulated industry.

Experience presenting technical strategy to executive stakeholders and engaging directly in architecture and code reviews.

Experience building backend systems using modern cloud infrastructure (AWS or GCP), relational databases (Postgres or MySQL), and messaging systems such as SQS or Kafka.

Experience with Go.

Fluency with LLM APIs, prompt engineering, and AI-assisted development tools; demonstrated experience building or evaluating AI-powered systems in production.