Engineering Manager, HeartFlow

• 8+ years of professional software engineering experience, with a proven track record of shipping production-grade software
• 5+ years of experience managing, mentoring, or acting as a formal technical lead for software engineering teams
• Player-Coach Mentality: Willingness and technical capability to be deeply hands-on with code and architecture during the first 6–12 months while concurrently building the team
• Deep, hands-on experience building applications with Large Language Models (LLMs) and a strong understanding of agentic architectures, orchestration frameworks, and vector databases
• Advanced proficiency in Python or Go, alongside a solid grasp of microservices, API design, and cloud infrastructure (AWS or GCP)
• A passion for greenfield projects - you thrive in ambiguity, enjoy designing systems from scratch, and love solving complex, open-ended problems
• Active contributions to open-source LLM or Agentic AI frameworks

Desirable

• To accelerate this mission, we are seeking an Engineering Manager to build and lead our new Agentic AI initiatives team
• This is a unique "player-coach" opportunity. You will start in a deeply hands-on capacity - acting as the lead architect and foundational engineer to set up the core ecosystem that allows autonomous, intelligent agents to execute multi-step medical reasoning securely and at scale. As the foundation is laid and the product gains momentum, your role will transition into a full Engineering Manager capacity. You will be responsible for scaling a world-class team of engineers, guiding their execution, and shaping the long-term technical strategy of the platform
• You will have a true blank-canvas opportunity to design production-grade agentic systems from scratch, directly translating our decade-plus of clinical AI success into the next generation of autonomous medical technology
• Initial Hands-On Execution: Design, architect, and write code for a robust, secure, and scalable Agentic AI platform, establishing standard patterns for multi-agent orchestration, state management, tool usage, and memory
• Team Building & Leadership: Transition from an individual contributor/architect role into a dedicated management role as the team scales
• Technical Strategy: Drive the technical execution of brand-new, agent-driven product features from initial ideation to production deployment. Build systems to parse requirements, map software modules, and auto-generate test cases
• Safety & Compliance: Implement advanced guardrails, evaluation frameworks, and reasoning validation loops to ensure agent behaviors are safe, deterministic, highly accurate, and meet the compliance rigor required for FDA-cleared software
• Cross-Functional Collaboration: Work closely with product managers, clinical experts, and data scientists to translate clinical needs into technical AI agent architectures and viable product roadmaps
• Best Practices: Champion software engineering best practices (CI/CD, comprehensive testing, logging for non-deterministic systems) and keep the team ahead of the rapidly evolving AI landscape