Engineering Team Lead – Appointment Scheduling

🕒 6 dias atrás

🍂 Massachusetts – Remoto

🍂 Massachusetts – Remote

⏰ Tempo Integral

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

Candidatar-se

Encontrar Vagas Remotas Similares

Configurar Alerta de Email para Novas Vagas

📊 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

Engageware

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2000

💼 Consultoria

🏥 Saúde

📦 Logística

Consulting • Healthcare • Logistics

A Engageware é uma plataforma de engajamento ao cliente com tecnologia de IA que ajuda organizações a automatizarem o serviço ao cliente e impulsionarem vendas através de interações virtuais e assistidas por humanos em múltiplos canais. A plataforma oferece assistentes virtuais, IA conversacional, agendamento de compromissos (incluindo integrações com Salesforce e outras plataformas empresariais), videobanking, gestão de lobby e filas, além de gestão unificada de conhecimento para melhorar o autoatendimento dos clientes e a eficiência dos empregados. A Engageware atende principalmente bancos, cooperativas de crédito, varejistas, gestores de patrimônio, instituições de ensino superior e outras empresas como uma solução SaaS segura e escalável.

Descrição

• Own the Appointment Scheduling team's planning, prioritization, delivery process, and day-to-day execution • Ensure the team ships reliably at enterprise scale • Grow and coach engineers at all levels, including senior and principal individual contributors • Partner with the Principal Engineer on architectural decisions and shipped product • Collaborate with Product and Design to solve customer problems • Own technical direction for the scheduling platform, including availability, booking, routing, reminders, and multiple customer channels • Modernize the mature scheduling core through pragmatic modernization, improved test coverage, and cleaner API surfaces • Shape and evolve data architecture and service boundaries for scale and AI extensibility • Maintain the platform's reliability standards • Lead adoption of an AI-augmented software development lifecycle across design, code generation, testing, code review, and legacy modernization • Establish guardrails for AI-assisted development with strong testing and CI/CD practices • Stay current on agentic development patterns, including MCP-based tooling, and improve team fluency • Introduce intelligent product capabilities such as conversational booking, availability recommendations, reduced no-show rates, and proactive engagement • Ensure AI features use verified availability data and are evaluated against clear success metrics • Partner with the Principal PM to align AI product initiatives with customer value and the scheduling roadmap

🎯 Requisitos

• Track record of leading an engineering team to deliver process, planning, and outcomes while remaining technically hands-on • Experience shipping product, not only managing a team • Depth in JVM backend technologies, including Java, Spring Boot, and Java 17 • Experience with modern TypeScript front ends using React and/or Angular • Comfort with high-throughput services and relational data • Experience modernizing large, mature, business-critical systems without disrupting the business • Fluency with AI coding agents and AI-augmented development • Genuine product sense focused on the customer booking experience • Based in the United States • Willingness to travel occasionally for team and customer meetings • Prior scheduling, calendaring, availability modeling, or resource-optimization experience is nice to have • SQL and relational data depth is nice to have • Enterprise-scale API design and integration experience is nice to have • Background in financial services, banking, credit unions, healthcare, or retail technology is nice to have • Experience exposing platform capabilities to AI agents via MCP or similar patterns is nice to have • Familiarity with SQL Server, PostgreSQL, Scala/Akka, Kubernetes on AWS, Claude models, and MCP-based agent tooling is not required but relevant to the role

🏖️ Benefícios

• Willingness to travel occasionally for team and customer meetings • AI-augmented development lifecycle and exposure to AI agent tooling • Opportunity to work with Claude models and MCP-based agent tooling