Senior Engineering Manager, Clinical
Accountabilities: Performance Management: Set clear performance expectations, provide direct and timely feedback, conduct meaningful reviews, support promotion cases, and address performance concerns early and fairly.
Coaching and Growth: Lead multiple engineering teams and actively support career and technical development, helping tech leads and senior engineers grow their scope and ownership.
Team Execution and Delivery: Own team goals and roadmap execution, remove blockers, improve feedback loops, protect focus, and maintain effective planning, review, and work-in-progress practices.
AI-Native Engineering: Drive effective adoption of modern AI development tools, including agentic coding, repository-native tooling, MCP servers, and AI-assisted review and testing.
Product and Design Partnership: Partner with Product Managers and Designers to shape scope, balance technical investment against user value, and maintain alignment between discovery and delivery.
Strategic Technical Oversight: Review architecture decisions, conduct pre-launch risk assessments, and ensure connected product areas evolve with consistent technical direction.
Technical Shaping: Lead early technical discovery, feasibility assessments, and capacity planning across multiple roadmaps.
Engineering Engagement: Stay connected to technical execution through regular code reviews, design discussions, and incident retrospectives.
Engineering Excellence: Promote strong engineering practices through agile methodologies, test-driven development, and robust software design principles.
Stakeholder Management: Serve as a key engineering contact for Product, Design, clinical stakeholders, and senior leadership.
Requirements
Management Experience: At least 5 years of engineering management experience, including responsibility for multiple teams or management through technical leads.
Engineering Experience: At least 10 years of experience delivering production software in professional environments.
Performance Leadership: Demonstrated success developing engineers toward their next level while addressing underperformance directly and constructively.
Technical Background: Professional experience working with open source programming languages and maintaining strong technical credibility.
AI Development: Hands-on familiarity with modern AI development tooling and experience driving meaningful adoption of AI-enabled engineering practices across teams.
Location: Must reside in the United States and be legally authorized to work in the U.S. without employer visa sponsorship.
Preferred Experience: Background in healthcare, clinical workflows, or another regulated environment is a plus.
Organizational Leadership: Experience guiding teams through management transitions or periods of structural change is desirable.
Architecture and Collaboration: Experience working within large shared codebases with clearly defined domain ownership boundaries is a plus.
Benefits
Base Salary: $260,000–$310,000, based on experience and level.
Annual Bonus: Opportunity for an annual company-wide bonus of up to 15%, based on company performance.
Medical, Dental, and Vision: Comprehensive coverage options with low-to-no-cost premium options.
HSA Contribution: Employer-funded contributions to a Health Savings Account.
Retirement: 401(k) retirement plan.
Equity: Equity incentive plan.
Remote-First Work: Remote-first culture, with a dedicated NYC office and reimbursement options for coworking spaces.
Flexible Time Off: Flexible vacation policy.
Summer Fridays: Five additional Fridays off during the summer, separate from PTO.
Home Office & Wellness: Stipend supporting home office and wellness needs.
Internet: Monthly internet stipend.
Learning & Development: Annual stipend for professional learning and development.
Work Authorization: This role does not provide employer visa sponsorship. Applicants must be legally authorized to work in the United States at the time of application and throughout employment.
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