Engineering Manager, Platform
Doctronic | New York City or San Francisco (hybrid) | Full-time
The role
Doctronic gives people free, private access to AI health guidance and affordable visits with human physicians. Millions of consultations already depend on our production systems.
We are hiring an Engineering Manager to lead the team responsible for the systems used to build, deploy, observe, and operate Doctronic. Your team will improve production reliability and make every engineer more effective.
This is a hands-on management role. You will set direction, develop engineers, guide architecture, and contribute directly to platform code and operations. You will be accountable for engineering enablement, reliability, security, and infrastructure cost.
We expect engineering leaders to work AI-natively. You will make agents and automation a normal part of planning, implementation, review, debugging, and operations. Your team will improve the context, tooling, validation, and guardrails that help agents complete useful work safely.
Doctronic is the #1 AI Doctor and the first AI legally authorized to practice medicine. We process millions of consultations monthly, with 99%+ treatment plan accuracy validated by board-certified clinicians.
At doctronic.ai, people can receive free, anonymous, HIPAA-compliant AI consultations and connect with human physicians for affordable visits, available 24/7 across all 50 states.
Doctronic raised its seed, Series A, and Series B between February 2025 and January 2026, with backing from Union Square Ventures, Lightspeed Venture Partners, and Abstract
Lead and grow a team of platform engineers through clear goals, feedback, coaching, and high standards.
Set priorities with application, AI, data, security, and product teams based on engineering impact.
Improve the reliability, scalability, and operation of production services. Reduce the time and effort required to build, test, deploy, and operate software.
Guide key technical decisions and contribute directly to platform code, infrastructure, and automation.
Build an AI-native engineering environment with agent-ready repositories, clear interfaces, automated validation, and reusable workflows.
Improve how agent work is scoped, supplied with context, verified, and turned into reusable automation.
Track delivery speed, CI performance, reliability, self-service adoption, and operational load.
Lead incident response and ensure that follow-up work produces durable improvements.
Hire strong engineers and build a team that can take on broader scope as Doctronic grows.
New York City and San Francisco base salary: $200,000 to $300,000, plus equity.
Benefits reimbursement.
No specific visa or eligibility information provided.
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