Senior Engineering Manager

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop and enhance a robust engineering organization spanning multiple teams.

• Foster clarity, accountability, and growth for teams, managers, and leaders.

• Create a trustworthy cross-team delivery framework with clear priorities, ownership, dependencies, and capacity.

• Address trade-offs that individual teams are unable to resolve independently.

• Collaborate with Product and Design leadership to achieve domain-level outcomes and execution.

• Engage in discovery processes and translate business priorities into actionable cross-team plans.

• Negotiate project scope when AI-driven planning speed surpasses engineering validation and delivery capabilities.

• Uphold engineering standards and guarantee sufficient depth in technical decision reviews.

• Develop repeatable standards for sound technical judgment.

• Oversee production health throughout the engineering organization.

• Ensure teams can manage what they deliver and effectively respond to failures.

• Utilize delivery, quality, and reliability metrics to pinpoint interventions and tackle structural issues.

• Define organizational practices for delegation, verification, and review in AI-assisted engineering.

• Adapt hiring and leveling criteria to incorporate AI-native skills.

• Mentor managers as they transition their teams to AI-driven engineering.

⛳️ Requirements

• Proven experience leading engineers and managers through organizational scaling across multiple teams.

• Demonstrated ability to set expectations, coach employees at various levels, manage performance, support career development and promotions, and conduct challenging conversations.

• Technical expertise across more than one domain.

• Capability to engage in design reviews for Java, Python, C#, or similar programming languages.

• Proficiency in challenging API contracts and data models.

• Familiarity with failure modes and testing strategies.

• Experience managing production engineering across multiple teams operating on AWS or Azure.

• Knowledge of observability, SLOs, on-call duties, incident response, and postmortem follow-ups.

• Background in leading secure, privacy-sensitive systems.

• Ability to challenge authentication and authorization decisions.

• Experience with threat modeling, sensitive data management, and security remediation.

• Preferred experience in PHI/HIPAA or similar regulated environments.

• Familiarity with using delivery, quality, reliability, and team health metrics, including cycle time, deployment frequency, change failure rate, escaped defects, MTTR, or operational load.

• Proven history of creating teams and managers capable of making independent decisions and eliminating organizational friction.

• Experience in leading AI-first engineering initiatives in practice.

• Ability to direct AI agents in real tasks and establish delegation and verification protocols.

• Bonus: Experience in managing other engineering managers, leading an AI-native organizational transition, or influencing hiring and leveling criteria at an organizational level.

🏝️ Benefits

• Paid Time Off (PTO)

• Medical insurance

• Dental insurance

• Vision insurance

• 401(k) with matching contribution

• Employee Assistance Program (EAP)

• Wellness program

• Comprehensive benefits package