
51 - 200 funcionários
💼 Consultoria
📣 Marketing
🛍️ Comércio Eletrônico
Consulting • Marketing • eCommerce
A Lazer Technologies é uma empresa especializada em desenvolver produtos digitais de classe mundial e fornecer talentos de engenharia. Eles focam em entregar soluções de alta qualidade dentro do ecossistema Shopify, ajudando os clientes a otimizar seus projetos e alcançar seus objetivos de forma eficiente. Com forte ênfase na colaboração e compreensão das necessidades dos fundadores de startups, a Lazer Technologies estabeleceu uma reputação de excelência em várias indústrias, auxiliando notavelmente mais de 350 clientes e levantando financiamento significativo para inúmeras startups.
🕒 Agosto 12
🌐 Canadá, Estados Unidos – Remoto
⏰ Tempo Integral
🔴 Especialista
🖥 Engenheiro de Software
👻 Score fantasma 13%
🗣️🇺🇸🇬🇧 Inglês obrigatório
De onde vem esta vaga
Publicada na página de carreiras da Lazer Technologies, não em um site de vagas
Vista pela primeira vez pelo Remote Rocketship Agosto 12
Ainda aberta no site da Lazer Technologies. Verificada 8 horas atrás.

51 - 200 funcionários
💼 Consultoria
📣 Marketing
🛍️ Comércio Eletrônico
Consulting • Marketing • eCommerce
A Lazer Technologies é uma empresa especializada em desenvolver produtos digitais de classe mundial e fornecer talentos de engenharia. Eles focam em entregar soluções de alta qualidade dentro do ecossistema Shopify, ajudando os clientes a otimizar seus projetos e alcançar seus objetivos de forma eficiente. Com forte ênfase na colaboração e compreensão das necessidades dos fundadores de startups, a Lazer Technologies estabeleceu uma reputação de excelência em várias indústrias, auxiliando notavelmente mais de 350 clientes e levantando financiamento significativo para inúmeras startups.
• Co-own the AI engineering team of roughly 30 forward deployed engineers alongside existing engineering leaders • Own team health and happiness through regular 1:1s and early intervention on disengagement, burnout, and bench frustration • Run performance reviews against the FDE rubric • Develop the team through training sessions, playbooks, checklists, pairing, and internal writeups • Define and maintain baseline AI competency standards • Codify best engineering practices and distill field learnings into reusable patterns • Track engagement health across the portfolio and surface delivery and client-relationship risks • Review architectures and pressure-test technical approaches • Guide evaluation strategy, instrumentation, and impact measurement • Step onto engagements as technical lead when needed • Partner with talent on sourcing, hiring-manager screens, interviewer calibration, and the technical bar • Staff engagements based on skill, growth, and client fit while balancing utilization and development • Support scoping and pre-sales conversations • Act as senior escalation point for clients and partners
• 10+ years of engineering experience • 3+ years directly managing senior engineers, including hiring, performance management, and difficult conversations • Experience leading teams of 15+ engineers across concurrent projects or engagements • Ability to read architectures, identify flaws, and propose improvements • Strong full-stack experience with TypeScript, React, Node.js, and Python or Go • Proven experience building and shipping production agentic applications with orchestration and tool-calling patterns • Experience setting up evaluation harnesses and testing infrastructure for agentic applications using real prompts and business metrics • Familiarity with MLOps or LLMOps, including monitoring, guardrails, and human-in-the-loop design • Experience with at least one major cloud provider: GCP, AWS, or Azure • Practical AI-native use of coding agents, harnesses, and workflows • Consulting, agency, or forward deployed engineering experience • Ability to manage client expectations and timelines • Track record of developing people through training, onboarding, or mentorship structures • Comfort operating in ambiguity and making decisions independently • Exceptional communication across executives, staff engineers, and written updates • Nice to have: enterprise experience in financial services, healthcare, or retail • Nice to have: experience scaling forward deployed engineering, solutions engineering, or professional services teams • Nice to have: AI enablement or developer productivity program experience • Nice to have: founder, CTO, or early venture-backed startup experience • Nice to have: LLM fine-tuning experience • Nice to have: Kubernetes and container orchestration familiarity • Nice to have: scalable data pipeline or data lake design experience • Nice to have: relevant certifications, open-source contributions, or technical publications
• Competitive compensation • Unlimited PTO • Work from anywhere / flexible workspace • Full healthcare, dental, and vision benefits • 401(k) for US employees • Regular team retreats • Company vacations • Regular events • Professional growth across multiple industries and cutting-edge projects • Continuous learning and knowledge sharing • Minimal meetings and real autonomy
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