
1001 - 5000 funcionários
Fundada em 1984
🏥 Saúde
💼 Consultoria
📦 Logística
Healthcare • Consulting • Logistics
ComPsych é um fornecedor líder de programas de assistência ao empregado (EAP), oferecendo serviços de saúde mental e bem-estar aos funcionários e suas famílias. A empresa se concentra em melhorar a produtividade no local de trabalho, fornecendo serviços de apoio que ajudam os funcionários a gerenciar desafios pessoais e relacionados ao trabalho. As soluções da ComPsych incluem aconselhamento, intervenção em crises e diversos programas de bem-estar projetados para aprimorar a satisfação e o desempenho geral dos funcionários.
🕒 Setembro 15
🇺🇸 Estados Unidos – Remoto (EUA)
💵 $225.000 - $275.000 / ano
⏰ Tempo Integral
🟠 Sênior
👮♀️ Gerente de Engenharia de Software
🦅 Patrocina Visto H1B
👻 Score fantasma 3%
🗣️🇺🇸🇬🇧 Inglês obrigatório
De onde vem esta vaga
Publicada na página de carreiras da ComPsych, não em um site de vagas
Vista pela primeira vez pelo Remote Rocketship Setembro 15
Ainda aberta no site da ComPsych. Verificada 8 horas atrás.

1001 - 5000 funcionários
Fundada em 1984
🏥 Saúde
💼 Consultoria
📦 Logística
Healthcare • Consulting • Logistics
ComPsych é um fornecedor líder de programas de assistência ao empregado (EAP), oferecendo serviços de saúde mental e bem-estar aos funcionários e suas famílias. A empresa se concentra em melhorar a produtividade no local de trabalho, fornecendo serviços de apoio que ajudam os funcionários a gerenciar desafios pessoais e relacionados ao trabalho. As soluções da ComPsych incluem aconselhamento, intervenção em crises e diversos programas de bem-estar projetados para aprimorar a satisfação e o desempenho geral dos funcionários.
• 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
• 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
• 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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