Engineering Manager

Engineering ManagerLocation - San Francisco, CA - (Hybrid – 4 Days Per Week)Compensation - $210,000 – $300,000 Base + Competitive EquityVisa - 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 AIThe 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.What You'll DoLead and grow a high-performing engineering team building AI-powered healthcare productsHire, mentor, coach, and develop software engineers while maintaining a high talent barPartner closely with Product, Design, and Engineering Leadership to deliver high-impact customer-facing productsDrive architecture reviews and technical design discussions across the engineering organizationRemain hands-on by contributing to technical decision-making, debugging production issues, and guiding implementationBuild scalable AI-powered applications supporting patient-facing voice agents and healthcare workflowsHelp define engineering best practices, development processes, and technical standardsPartner directly with healthcare professionals to build products solving real-world operational challengesLead agile software development while maintaining rapid product deliveryScale engineering processes as the organization grows from 40 to 75+ engineersChampion modern engineering practices, AI-assisted development, and engineering excellenceFoster a high-performance engineering culture focused on ownership, execution, and continuous improvementIdeal Candidate BackgroundExperience Requirements5+ years of software engineering experienceApproximately 2+ years of Engineering Management experienceExperience leading engineering teams of 5+ engineersExperience hiring, coaching, and developing engineering talentExperience working at venture-backed growth-stage startups (Series A+ preferred)Strong history of hands-on technical leadership within the last 1–2 yearsExperience building customer-facing software productsExperience leading engineering teams through rapid organizational growthStrong startup ownership mentality with demonstrated leadership executionExperience collaborating closely with Product, Design, and Executive LeadershipTechnical RequirementsStrong software engineering fundamentals across system design, architecture, scalability, and distributed systemsExperience designing and building production-grade applicationsExperience leading architecture discussions and technical decision-makingStrong understanding of modern software engineering best practicesExperience building AI-powered products or platformsFamiliarity with modern AI coding tools and AI-assisted software developmentExperience debugging complex production systemsStrong understanding of cloud-native software development and modern engineering infrastructureComfortable contributing technically when needed while balancing management responsibilitiesTechnical background across full-stack or backend product engineering preferredEducationBachelor's degree in Computer Science or another technical discipline preferredStrong engineering leadership background with demonstrated technical excellenceExceptional candidates with outstanding startup engineering leadership experience consideredSoft SkillsStrong engineering leadershipExcellent coaching and mentoring abilityOutstanding technical communicationHigh ownership mentalityComfortable operating with ambiguityStrong cross-functional collaborationStartup mindset with high execution velocityStructured problem solverEngineering-first leadership philosophyPassion for AI-powered healthcare productsCompensation & BenefitsBase Salary: $210,000 – $300,000Competitive Equity PackageVisa Sponsorship AvailableHybrid work model (4 days/week in San Francisco)Opportunity to lead engineering at one of the fastest-growing healthcare AI companiesDirect collaboration with founders and engineering leadershipSignificant ownership across engineering organization growthHigh-impact engineering culture with exceptional career advancementSeries C company with strong financial backing and rapid growthOpportunity to improve healthcare through AI-powered technologyWhy JoinThis is an opportunity to help build one of the most impactful AI-powered healthcare platforms transforming patient access and healthcare delivery.You'll work at the intersection of engineering leadership, conversational AI, voice AI, healthcare infrastructure, and modern software engineering while leading teams building products that directly improve patient outcomes.As an Engineering Manager, you'll remain deeply technical while scaling world-class engineering teams, influencing technical strategy, and helping define the future of AI-powered healthcare technology.