Job description

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. Compensation: Our job titles may span more than one career level. The base salary for this role typically ranges between $230,000-$280,000 depending on experience, skills, seniority, and business needs. In addition to base salary, this role may be eligible for equity as part of the total compensation package. Actual compensation may vary by location. Benefits & Perks Competitive pay & equity* Fully remote Comprehensive health coverage: Medical, dental & vision Paid time off 401k plan + matching Paid parental leave Home office stipend *benefit offerings may vary depending on job profile, job level and worker type Cadence is committed to equal opportunity and fairness regardless of race, color, religion, sex, gender identity, sexual orientation, nation of origin, ancestry, age, physical or mental disability, country of citizenship, medical condition, marital or domestic partner status, family status, family care status, military or veteran status or any other basis protected by local, state or federal laws. A notice to Cadence applicants: Our Talent team only directs candidates to apply through our official careers page at cadence.care. Cadence will never refer you to external websites, ask for payment or personal information, or conduct interviews via messaging apps. We receive all applications through our website and anyone suggesting otherwise is not with Cadence. If you require a reasonable accommodation during the interview or hiring process, please notify your recruiter.

Requirements

Must-haves

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.
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.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiawsgcppostgresgollm

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Paid Time Off

Parental Leave