Engineering Manager

Engineering Manager

Location
- San Francisco, CA - (Hybrid – 4 Days Per Week)

Compensation - $210,000 – $300,000 Base + Competitive Equity

Visa
- Visa Sponsorship Available (Transfers & Eligible Visa Types)

Company Stage
- Series C ($120M Raised | $1.2B Valuation)

Industry
- Healthcare AI, Voice AI, Artificial Intelligence, Enterprise SaaS, Digital Health, Conversational AI

The company is building one of the most advanced AI-powered healthcare platforms focused on transforming patient access through intelligent voice agents and conversational AI.

Its proprietary AI platform manages the entire patient journey by leveraging over 190 million patient interactions across more than 23 medical specialties. By combining large language models, voice AI, workflow automation, and healthcare infrastructure, the company is helping healthcare providers improve patient access, operational efficiency, and clinical outcomes at scale.

Following a recent $120M Series C financing at a $1.2B valuation, the company has become one of the fastest-growing healthcare AI organizations in the market. Recognized on the Forbes Cloud 100 and Enterprise Tech 30, it continues to expand rapidly while building category-defining AI products for healthcare providers nationwide.

As an Engineering Manager, you'll lead a high-performing engineering team responsible for building AI-powered patient experiences, voice AI applications, and healthcare workflows while remaining deeply technical through architecture reviews, technical leadership, incident response, and engineering execution.

This is an exceptional opportunity to join an AI-native healthcare company where Engineering Managers remain hands-on builders while helping scale both engineering teams and next-generation AI products that directly improve patient care.

• Lead and grow a high-performing engineering team building AI-powered healthcare products
• Hire, mentor, coach, and develop software engineers while maintaining a high talent bar
• Partner closely with Product, Design, and Engineering Leadership to deliver high-impact customer-facing products
• Drive architecture reviews and technical design discussions across the engineering organization
• Remain hands-on by contributing to technical decision-making, debugging production issues, and guiding implementation
• Build scalable AI-powered applications supporting patient-facing voice agents and healthcare workflows
• Help define engineering best practices, development processes, and technical standards
• Partner directly with healthcare professionals to build products solving real-world operational challenges
• Lead agile software development while maintaining rapid product delivery
• Scale engineering processes as the organization grows from 40 to 75+ engineers
• Champion modern engineering practices, AI-assisted development, and engineering excellence
• Foster a high-performance engineering culture focused on ownership, execution, and continuous improvement

• 5+ years of software engineering experience
• Approximately 2+ years of Engineering Management experience
• Experience leading engineering teams of 5+ engineers
• Experience hiring, coaching, and developing engineering talent
• Experience working at venture-backed growth-stage startups (Series A+ preferred)
• Strong history of hands-on technical leadership within the last 1–2 years
• Experience building customer-facing software products
• Experience leading engineering teams through rapid organizational growth
• Strong startup ownership mentality with demonstrated leadership execution
• Experience collaborating closely with Product, Design, and Executive Leadership

• Strong software engineering fundamentals across system design, architecture, scalability, and distributed systems
• Experience designing and building production-grade applications
• Experience leading architecture discussions and technical decision-making
• Strong understanding of modern software engineering best practices
• Experience building AI-powered products or platforms
• Familiarity with modern AI coding tools and AI-assisted software development
• Experience debugging complex production systems
• Strong understanding of cloud-native software development and modern engineering infrastructure
• Comfortable contributing technically when needed while balancing management responsibilities
• Technical background across full-stack or backend product engineering preferred

• Bachelor's degree in Computer Science or another technical discipline preferred
• Strong engineering leadership background with demonstrated technical excellence
• Exceptional candidates with outstanding startup engineering leadership experience considered

• Strong engineering leadership
• Excellent coaching and mentoring ability
• Outstanding technical communication
• High ownership mentality
• Comfortable operating with ambiguity
• Strong cross-functional collaboration
• Startup mindset with high execution velocity
• Structured problem solver
• Engineering-first leadership…