Senior Engineering Manager
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Job Description
Senior Engineering Manager scaling AI-native engineering teams at ComPsych, a workplace mental health and absence-management company. Owning delivery, technical standards, production health, and manager development across multiple teams.
Responsibilities:
- Build and grow a strong engineering organization across multiple teams
- Create clarity, accountability, and growth for teams, managers, and leads
- Establish a credible cross-team delivery system with visible priorities, ownership, dependencies, and capacity
- Resolve tradeoffs that individual teams cannot make independently
- Partner with Product and Design leadership on domain-level outcomes and execution
- Participate in discovery and turn business priorities into executable cross-team plans
- Negotiate scope when AI-driven planning speed exceeds engineering validation and delivery capacity
- Maintain engineering standards and ensure appropriate depth of technical decision reviews
- Build repeatable standards for sound technical judgment
- Own production health across the engineering organization
- Ensure teams can operate what they ship and respond effectively to failures
- Use delivery, quality, and reliability signals to identify interventions and address structural causes
- Define organizational delegation, verification, and review practices for AI-assisted engineering
- Evolve hiring and leveling criteria for AI-native skills
- Mentor managers as they adapt their teams to AI-driven engineering
Requirements:
- Experience leading engineers and managers through organizational scaling across more than one team
- Experience setting expectations, coaching employees at different levels, managing performance, supporting career growth and promotions, and handling difficult conversations
- Technical depth across more than one technical domain
- Ability to engage in design reviews for Java, Python, C#, or similar systems
- Ability to challenge API contracts and data models
- Knowledge of failure modes and testing strategy
- Experience owning production engineering across multiple teams running on AWS or Azure
- Experience with observability, SLOs, on-call, incident response, and postmortem follow-through
- Experience leading secure, privacy-sensitive systems
- Ability to challenge authentication and authorization decisions
- Experience with threat modeling, sensitive-data handling, and security remediation
- Experience with PHI/HIPAA or comparable regulated environments preferred
- Experience using delivery, quality, reliability, and team-health signals, including cycle time, deployment frequency, change failure rate, escaped defects, MTTR, or operational load
- Experience creating teams and managers who can make decisions independently and removing organizational friction
- Experience leading AI-first engineering in practice
- Experience directing AI agents on real work and establishing delegation and verification practices
- Bonus: experience managing other engineering managers, leading an AI-native organizational transition, or shaping hiring and leveling criteria at the organizational level
Benefits:
- Paid Time Off (PTO)
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k) with match
- Employee Assistance Program (EAP)
- Wellness program
- Full benefits package
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