Engineering Team Lead – Appointment Scheduling

🕒 il y a 17 jours

🍂 Massachusetts – Distant

🍂 Massachusetts – Remote

⏰ Temps Plein

🟠 Senior

🧑‍💻 Développeur Full-Stack

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

👻 Score fantôme 10%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Engageware

Site WebLinkedInTous les Emplois

201 - 500 employés

Fondée en 2000

💼 Conseil

🏥 Santé

📦 Logistique

Consulting • Healthcare • Logistics

Engageware est une plateforme d'engagement client alimentée par l'IA qui aide les organisations à automatiser le service client et à stimuler les ventes grâce à des interactions virtuelles et humaines multicanal. La plateforme propose des assistants virtuels, de l'IA conversationnelle, la prise de rendez-vous (y compris les intégrations d'entreprise et Salesforce), la banque vidéo, la gestion des files d'attente et une gestion unifiée des connaissances pour améliorer l'auto-assistance des clients et l'efficacité des employés. Engageware sert principalement les banques, les coopératives de crédit, les détaillants, les gestionnaires de patrimoine, l'enseignement supérieur et d'autres entreprises en tant que solution SaaS sécurisée et évolutive.

Description

• 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

🎯 Exigences

• 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

🏖️ Avantages

• 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