Nearly every disease will become treatable in our lifetimes. Mandolin is laying the clinical and financial infrastructure to get groundbreaking treatments to patients faster, powered by AI agents.
Mandolin partners closely with the largest healthcare institutions in the US, covering more than $10B drug spend across the country. We're backed by Greylock, SV Angel, Maverick, SignalFire, and the founders of Vercel, Decagon, and Yahoo.
As a Engineering Manager, you’ll be a critical multiplier on our technical team — leading high-performing engineers, shaping our engineering culture, and ensuring we ship robust, scalable systems. You’ll play a hands-on role in both people leadership and technical execution, helping the team navigate complex architecture, rapid iteration cycles, and customer-driven development in a fast-moving environment. You’ll be responsible for growing the team, ensuring technical excellence, and helping us deliver high-impact products that directly improve patient access to life-saving therapies.
Lead, mentor, and grow a team of engineers building core platform functionality and AI workflows
Partner closely with Product, Design, and Forward Deployed Engineering to prioritize work and drive execution
Maintain a high bar for technical design, system architecture, and engineering quality
Help scale our engineering culture and team through recruiting, onboarding, and performance development
Foster a fast-paced but sustainable environment where engineers are empowered to do their best work
Contribute to strategic planning and help shape Mandolin’s technical roadmap as we expand into new verticals
5+ years of engineering management experience in a fast-paced environment
Track record of leading teams that ship complex, production-grade systems
Strong technical background with the ability to go deep in backend systems, infrastructure, or AI/ML tooling
Proven ability to collaborate cross-functionally with product, design, and customer-facing teams
Excellent communication, prioritization, and organizational skills in ambiguous, fast-changing contexts
Experience at an early-stage startup or in the healthcare/healthtech space
Exposure to LLMs, agent frameworks, and AI infrastructure
Familiarity with modern cloud platforms, data pipelines, and secure integrations in regulated environments
Strong opinions on team processes, and the humility to evolve them as the company scales
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