Engineering Manager

• Lead people, initiatives, and organizational improvement at the intersection of medical AI, product delivery, and engineering excellence
• Lead engineers, QAs, data scientists, and researchers working on our medical ontology and inference engine
• Take accountability for 2–3 cross-functional initiatives in each cycle: define clear goals, shape scope, align stakeholders, remove blockers, and drive execution
• Assemble the right people from your group and adjacent areas as new workstreams emerge
• Coach initiative leads to build autonomy and support good decision-making
• Identify and remove friction in how teams plan, deliver, and learn
• Embed quality, safety, and regulatory thinking into delivery processes
• Partner closely with Product, Regulatory, and other engineering areas

Key requirements:

• 5+ years of engineering management experience with strong fundamentals in people leadership, delivery ownership, and technical decision-making
• Strong people leadership practice: structured 1:1s, meaningful feedback, performance development
• Proven ability to form teams around new or changing priorities
• Experience owning complex initiatives end-to-end
• Technical fluency sufficient to earn the trust of senior engineers
• Demonstrated product and business awareness
• Strong collaboration instincts
• Comfort operating in environments where quality, reliability, safety, or compliance matter
• Fluent in English, written and spoken

Nice to have:

• Experience in healthtech, medtech, clinical AI, or similar domain
• Familiarity with healthcare regulations (MDR/SaMD)
• Background leading teams with diverse functions (engineers, data scientists, ML engineers, researchers)
• Practical experience applying AI tools in the software development lifecycle
• Experience building, deploying, or operating AI/ML-powered products in production