Software Engineering Manager

🕒 Abril 8

🏄 California, Colorado, +17 estados a mais – Remoto

🏄 California – Remote ⛰️ Colorado – Remote 🐊 Florida – Remote 🌽 Illinois – Remote 🐎 Kentucky – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🏈 Ohio – Remote 🌲 Oregon – Remote 🚗 Michigan – Remote ❄️ Minnesota – Remote 🔔 Pennsylvania – Remote 🌴 South Carolina – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⛷️ Utah – Remote ⚔️ Virginia – Remote ☕ Washington – Remote 🧀 Wisconsin – Remote

💵 $165.000 - $185.000 / ano

⏰ Tempo Integral

🟢 Júnior

🟡 Pleno

👮‍♀️ Gerente de Engenharia de Software

Candidatar-se

Encontrar Vagas Remotas Similares

Receber Emails de Vagas Remotas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

Jellyvision

SiteLinkedInTodas as Vagas

201 - 500 funcionários

👥 RH Tech

🤝 B2B

☁️ SaaS

💰 Venture Round em 2017-03

HR Tech • B2B • SaaS

A Jellyvision é uma empresa especializada em fornecer uma experiência de benefícios hiperpersonalizada para ajudar os funcionários a escolher, utilizar e valorizar seus benefícios. O principal produto da empresa, ALEX, oferece suporte para navegar em decisões complexas de benefícios, incluindo educação sobre o Medicare e suporte para inscrição. A Jellyvision atende empregadores, equipes de recursos humanos, corretores, consultores e parceiros, usando análises preditivas e ciência comportamental para oferecer uma experiência de consultoria e comunicação de benefícios personalizada. Suas soluções aumentam o engajamento dos funcionários, melhoram a compreensão dos benefícios oferecidos pelos empregadores e, em última análise, conduzem a uma força de trabalho mais feliz e saudável.

Descrição

• Directly manage a team of software engineers—owning their development, quality bar, and technical direction • Coach and mentor engineers to sharpen skills, design better systems, and develop sound judgment about when and how to use AI tools effectively • Organize and assign work alongside the Technical Lead and Product Owner, breaking it into right-sized pieces that maximize efficiency • Balance feature work with maintenance, tech debt, and internal support • Set a high bar for technical quality across our JavaScript (React) and Python stack; you're accountable for the team's output • Model and encourage fluent, responsible use of AI coding assistants (e.g., Claude, GitHub Copilot) to accelerate delivery and reduce toil • Help engineers develop sound judgment about AI-generated output—when to trust it, when to push back, and how to prompt effectively • Stay current on AI tooling; evaluate new tools with a practical, outcomes-focused lens and bring relevant advances to the team • Identify opportunities for AI to improve team workflows: code review, test generation, documentation, incident analysis • Contribute to org-wide conversations about AI governance, appropriate use, and engineer skill development • Handle team logistics: performance management, hiring, right-sizing, training, and promotions • Partner with the Product Owner to ensure work is designed, developed, and tested to high quality standards and aligned with the architecture vision • Proactively communicate delivery targets, commitments, and progress • Drive operational excellence through team metrics (DORA, SLIs, CI/CD health, security vulnerabilities, infra cost/usage) • Mitigate risks proactively, escalate when needed, and collaborate across teams to find solutions

🎯 Requisitos

• Deep understanding of how large-scale software systems are designed, built, tested, deployed, and delivered to customers • Experience using delivery and performance metrics to drive a team • At least 2 years managing offshore development teams using Agile methods (Scrum, Kanban, XP) • Genuine hands-on familiarity with AI coding assistants and LLM-based tools—you've used them, formed opinions, and helped others use them well • Ability to evaluate AI-generated code: understanding failure modes, reviewing for correctness and security, and coaching engineers to do the same • An affinity for modern software development best practices: daily deployments, robust CI/CD, test-driven development, feature flagging, and AI-assisted workflows • Strong decision-making skills; acts consistently with available facts, constraints, and probable consequences • Demonstrated analytical, critical thinking, organizational, and project management ability • Experience with tools like Snowflake, Looker, Datadog, AWS, and Infrastructure as Code • Exceptional leadership skills: co-creates a vision, reinforces it, and aligns teams and stakeholders around it.

🏖️ Benefícios

• Check out our benefits here!