This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Engineering Manager based in United States.
This is an opportunity to lead the engineering team behind an AI-powered clinical intelligence platform designed to support safer, more effective chronic disease care.
You’ll work at the intersection of software engineering, artificial intelligence, clinical expertise, product, and design.
The role combines people leadership with hands-on technical ownership, from architecture and development through production operations.
You’ll help translate patient data, clinical protocols, and safety requirements into reliable decision-support systems that clinicians can trust.
Your work will directly influence the quality, scalability, explainability, and reliability of technology used in real-world healthcare delivery.
You’ll join a mission-driven environment where engineering standards approach the rigor expected of medical technologies.
This is a high-impact opportunity to build both a strong engineering organization and technology that can improve patient care at scale.
Accountabilities
- Define and drive the technical vision and architecture for an AI-powered clinical intelligence platform, balancing innovation with clinical safety, reliability, explainability, and scalability.
- Partner closely with clinical, product, design, and AI stakeholders to shape the roadmap for clinician-supervised decision support and medication recommendation capabilities.
- Lead the development of AI-powered clinical workflows that combine patient data, evidence-based protocols, deterministic safety rules, and clinician oversight into trusted production systems.
- Hire, mentor, manage, and develop a high-performing team of AI, backend, and full-stack engineers, fostering strong technical ownership and continuous growth.
- Own the architecture, development, deployment, and operation of services, infrastructure, and evaluation frameworks supporting clinical decision-support and medication recommendation engines.
- Establish and maintain engineering standards, testing strategies, observability practices, and validation processes that promote clinical correctness, reliability, and regulatory readiness.
- Participate directly in technical architecture, code reviews, and complex engineering decisions while providing strategic direction to the team.
- Build a culture centered on quality, accountability, continuous improvement, and thoughtful engineering practices in a highly consequential healthcare environment.
Requirements
- 5+ years of professional software engineering experience, including at least 2 years in an engineering people-management role.
- Proven experience leading complex software products from 0 to 1, preferably within healthcare, enterprise SaaS, or another regulated and highly reliable industry.
- Strong ability to communicate technical strategy to executive stakeholders while remaining comfortable engaging deeply in architecture discussions and code reviews.
- Experience developing backend systems using modern cloud infrastructure such as AWS or GCP, relational databases including PostgreSQL or MySQL, and messaging technologies such as SQS or Kafka.
- Professional experience with Go and modern software engineering practices.
- Strong understanding of LLM APIs, prompt engineering, and AI-assisted development tools, with demonstrated experience building, deploying, or evaluating AI-powered systems in production.
- Ability to balance rapid AI innovation with reliability, safety, explainability, testing, and operational excellence.
- Strong people leadership, mentoring, communication, and cross-functional collaboration skills.
- Comfortable operating in an ambiguous, fast-moving environment while maintaining a high bar for technical and product quality.
Benefits
- Base salary typically ranging from $215,000 to $275,000, depending on experience, skills, seniority, location, and business needs.
- Potential equity as part of the overall compensation package.
- Fully remote work environment.
- Comprehensive medical, dental, and vision coverage.
- Paid time off.
- 401(k) plan with employer matching.
- Paid parental leave.
- Home office stipend.
- Opportunity to lead teams and build AI-powered technology with meaningful applications in healthcare.
- Benefits and compensation components may vary based on job profile, career level, and worker type.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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