Senior Engineering Manager

ComPsych

. Build and grow a strong engineering organization across multiple teams .

Posted 9/15/2026full-timeRemote • United StatesSenior💰 $225,000 - $275,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading engineering teams through organizational scaling, with a strong focus on AI-driven practices, production engineering, and technical decision-making. Capable of fostering team independence and accountability while ensuring adherence to engineering standards and security protocols.

Highest-signal resume keywords

Leadership In Engineering ManagementTechnical Depth In Java, Python, C#Production Engineering On AWS Or AzureExperience With AI-First EngineeringKnowledge Of PHI/HIPAA Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Technical Depth Across Multiple DomainsDesign Reviews For Java, Python, C#API Contract ChallengesFailure Modes And Testing StrategyProduction Engineering OwnershipObservability And SLOsIncident Response And Postmortem Follow-ThroughThreat Modeling And Security RemediationDelivery Quality And Reliability SignalsAI-Driven Planning And Delegation Practices

Soft Skills

Coaching EmployeesManaging PerformanceSupporting Career GrowthHandling Difficult ConversationsMentoring Managers

Industry Keywords

AI-First EngineeringPrivacy-Sensitive SystemsRegulated EnvironmentsOrganizational ScalingTeam Independence

Tech Stack

Tools & technologies

AWSAzureJavaPython

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

Paid Time Off (PTO)
Medical insurance
Dental insurance
Vision insurance
401(k) with match
Employee Assistance Program (EAP)
Wellness program
Full benefits package