Top Tech Jobs & Startup Jobs in Boston, MA

Designs, deploys, configures, and maintains Genesys Cloud CX, IVR, ACD, and Workforce Management solutions. Troubleshoots complex incidents, supports integrations, develops test plans, manages vendors, and documents configurations. Provides end-user support for Genesys, Zoom, RightFax, and conferencing systems; manages telecommunications billing and reporting; supports change management and on-call operations. Requires strong Genesys Cloud expertise, telecom engineering experience, and occasional travel.

Own product strategy, roadmap, discovery, requirements, prioritization, delivery, validation, and success metrics. Use Claude and ChatGPT throughout the product lifecycle to accelerate research, requirements, prototyping, and analysis while applying sound judgment. Partner with Engineering, Design, Operations, Customer Success, Sales, and customers; lead AI adoption; and ensure accuracy, bias, and privacy safeguards for sensitive data.

Leads the enterprise data function, including strategy, platform modernization, analytics, data science, governance, architecture, and talent development. Oversees migration from Crystal Reports and Oracle to Databricks and Power BI, builds data connectivity and quality practices, establishes a data science function, develops internal expertise, and advises senior leadership on data-driven decisions.

Designs and owns CI/CD, cloud infrastructure, deployment automation, security gates, and observability across multiple application teams. Establishes shared DevSecOps standards, validates AI-generated pipelines and infrastructure, supports production operations and on-call response, and guides teams on secure, reliable software delivery. The role requires production experience with AWS or Azure, Kubernetes, containers, serverless, infrastructure as code, modern programming languages, security automation, compliance, and application monitoring.

Own full-stack features end to end, including system design, implementation direction, testing, deployment, production operations, and incident response. Use agentic AI to generate code, tests, and reviews while validating quality and security. Build production APIs, data models, authentication, schemas, migrations, and scalable SQL. Collaborate with Product, Design, and DevOps, and apply secure coding practices. Bonus experience includes RAG, LLM evaluation and observability, or TypeScript frontend development.