Senior Engineering Manager

About Mandolin

Nearly all disease will become treatable in our lifetimes, and drug discovery is quickly becoming an engineering discipline. Mandolin is building the “last-mile” delivery infrastructure that gets cutting-edge biologics, cell, and gene therapies to patients faster. Our AI-powered knowledge-worker platform already serves leading infusion clinics, with payers and pharma next in line.

We’re backed by Greylock, SignalFire, Maverick, and founders of famous companies like Yahoo, and led by repeat and exited founders with a team hailing from some of the most technically impressive companies.

Why we need you

As a Senior 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.

What you’ll do

• 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

Must-have experience

• 5+ years of engineering management experienced 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

Nice-to-haves

• 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