Senior Engineering Manager

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

📋 Description

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

• Foster clarity, accountability, and growth among teams, managers, and team leads.

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

• Address trade-offs that cannot be resolved by an individual team.

• Collaborate with Product and Design leadership on achieving domain-level outcomes and executing plans.

• Engage in discovery, convert business priorities into actionable cross-team strategies, and negotiate project scope.

• Maintain high engineering standards across the organization through appropriate technical review processes and consistent standards.

• Oversee production health, ensuring teams can manage their outputs and respond effectively to any failures.

• Leverage delivery, quality, and reliability indicators to identify necessary interventions and tackle underlying issues.

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

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

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

⛳️ Requirements

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

• Skilled in setting expectations, coaching individuals at various levels, managing performance, facilitating career development and promotions, and navigating challenging conversations.

• Technical expertise across multiple technical domains.

• Proficient in conducting design reviews for Java, Python, C#, or equivalent systems.

• Capable of evaluating API contracts and data models critically.

• Able to reason about failure modes and formulate testing strategies.

• Experience managing production engineering across several teams utilizing AWS or Azure.

• Responsible for observability, SLOs, on-call duties, incident response, and postmortem analysis.

• Expertise in leading secure, privacy-focused systems.

• Competent in challenging authentication and authorization decisions.

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

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

• Experience utilizing delivery, quality, reliability, and team health metrics at the organizational level.

• Knowledge of metrics such as cycle time, deployment frequency, change failure rate, escaped defects, MTTR, or operational load.

• Proven ability to create teams and managers that function independently beyond a single team.

• Hands-on experience leading AI-first engineering initiatives.

• Experience in directing AI agents in real-world tasks and establishing delegation and verification protocols.

• Bonus: experience in managing other engineering managers, leading an AI-native transition, or defining hiring and leveling standards at the organizational level.

🏝️ Benefits

• Comprehensive benefits package.

• Paid Time Off (PTO).

• Medical insurance.

• Dental insurance.

• Vision insurance.

• 401(k) with employer match.

• Extensive Employee Assistance Program (EAP).

• Wellness program.