Top Tech Jobs & Startup Jobs in Boston, MA

Build, configure, and test Google Contact Center AI solutions, including DTMF IVR menus, call flows, queues, routing, transfers, callbacks, CRM integrations, virtual agents, and Agent Assist. Develop test cases, support UAT, resolve configuration defects, maintain requirements traceability, and create technical documentation, call flow diagrams, and operational runbooks. Collaborate with customer stakeholders while following change management and release procedures.

Leads product marketing strategy for technology services and solutions, including portfolio structuring, packaging, pricing, positioning, go-to-market planning, market intelligence, sales enablement, and team training. Translates technical capabilities into differentiated business outcomes, partners with Sales, Product, Delivery, Alliances, and executives, and uses performance data to improve pipeline creation, revenue growth, and lifecycle management.

Design, develop, test, deploy, and support scalable cloud-native applications using Java, Spring Boot, React, TypeScript, and Node.js. Build REST APIs, microservices, PostgreSQL data models, integrations, CI/CD pipelines, and containerized deployments. Improve application reliability, observability, security, performance, and scalability while troubleshooting production issues. Collaborate with Product, UX, QA, DevOps, Architecture, and engineering teams through design sessions, code reviews, planning, and client-facing workshops.

Advises enterprise executives on AI transformation for contact center and customer service operations. Develops AI strategies, roadmaps, business cases, operating models, and value realization frameworks. Leads executive workshops and defines use cases involving virtual agents, agent copilots, analytics, automation, and agentic AI. Evaluates platforms and technologies, provides vendor-neutral recommendations, and partners with clients, vendors, and delivery teams to guide successful implementation.

Build enterprise workforce management software for forecasting, capacity planning, scheduling, adherence, intraday management, and reporting. Develop Java and Spring Boot microservices, React and TypeScript applications, REST APIs, event-driven workflows, integrations, and PostgreSQL data models. Support cloud-native deployments, CI/CD, testing, performance optimization, production troubleshooting, and technical design. Collaborate with product, operations research, QA, DevOps, UX, and client stakeholders.

Develop and enhance enterprise AI agents, orchestration workflows, conversational applications, and AI-powered automation using Python, LangGraph, and LangChain. Build capabilities for planning, memory, tool calling, RAG, observability, and enterprise integrations. Collaborate with engineering teams and stakeholders to deliver scalable production-grade generative AI solutions, troubleshoot issues, improve reliability, and establish AI engineering best practices.

Build enterprise workforce management software for forecasting, staffing, scheduling, adherence, intraday management, and operational reporting. Develop Java and Spring Boot microservices, React and TypeScript applications, REST APIs, event-driven workflows, PostgreSQL data models, integrations, and cloud-native deployments. Support CI/CD, production troubleshooting, performance optimization, architecture discussions, code reviews, and stakeholder collaboration across product, QA, DevOps, UX, and operations.

Develop and support scalable cloud-native applications using Java, Spring Boot, React, TypeScript, Node.js, PostgreSQL, and microservices. Responsibilities include building REST APIs, integrations, CI/CD pipelines, containerized deployments, observability, automated testing, and production support. The engineer will collaborate with product, UX, QA, DevOps, architecture, and clients while improving application performance, resilience, and maintainability. Workforce Management, Customer Experience, contact center, cloud, messaging, and secure API experience are advantageous.

Design and build enterprise-scale programmable voice platforms, APIs, call-control services, media processing, and real-time communications infrastructure. Develop Java and Spring Boot backend services, integrate contact-center and CX platforms, and troubleshoot signaling and call-quality issues. Define scalability, security, observability, disaster recovery, and other non-functional requirements. Lead architecture and technical delivery, establish engineering standards, review designs and code, manage technical risks, and collaborate with clients, vendors, and cross-functional engineering teams.