Top Tech Jobs & Startup Jobs in Boston, MA

Designs and delivers production-ready AI solutions for strategic enterprise customers using Genesys Cloud, conversational AI, automation, data, and integrations. Leads discovery, architecture, prototyping, deployment, optimization, governance, and value realization while advising executives and technical leaders. The role develops reference architectures, integrates CRM, ERP, cloud, and data ecosystems, supports responsible AI practices, and helps customers scale agentic orchestration and omnichannel customer experience solutions.

Designs, develops, tests, and delivers customized digital bots, generative AI bots, and agentic virtual agents for enterprise customers. Responsibilities include bot-flow architecture, routing application development, integrations, customer workshops, effort estimation, Agile leadership, testing, UAT and QA support, technical consulting, solution demonstrations, training, knowledge transfer, and leading delivery. The role requires extensive CCaaS, bot, webhook, IVR, speech recognition, and customer-facing consulting experience.

Lead migration of financial data pipelines from Snowflake to AWS, design SOX-compliant dimensional models, build Medallion Architecture datasets, implement data quality, observability, CI/CD, and performance optimizations, and partner with stakeholders to deliver production-ready financial analytics at scale.

Designs, develops, tests, deploys, and supports customized digital and voice bots, generative AI bots, and agentic virtual agents. Leads customer workshops, bot-flow architecture, integrations, routing applications, testing, UAT, delivery, knowledge transfer, and technical consulting. Partners with product owners, Scrum Masters, customers, vendors, and technical teams while leading SS&AI initiatives and providing estimates, training, and feedback on Genesys products and APIs.

Leads the architecture and delivery of AI-powered digital customer experience solutions for enterprise clients. Designs Genesys Cloud integrations, digital channels, virtual agents, copilots, knowledge systems, and workflow automation. Acts as the technical authority for complex engagements, leads architecture workshops, advises senior stakeholders, ensures scalability and security, mentors consultants, supports presales, and develops reusable implementation assets and reference architectures.

Leads global product marketing, executive messaging, customer growth marketing, AI thought leadership, product positioning, launches, go-to-market strategy, events, customer evidence, and industry engagement. Builds and develops teams while translating complex enterprise software, cloud, AI, automation, and platform capabilities into compelling customer and business value. Partners with product, engineering, sales, and customer success leaders to drive adoption, expansion, and market differentiation.

Designs and deploys production-ready AI solutions for strategic enterprise customers using Genesys Cloud, agentic AI, conversational AI, automation, data, and integrations. Leads discovery, architecture, prototyping, deployment, optimization, governance, and value realization. Advises executive stakeholders, connects technical decisions to business KPIs, develops reference architectures, guides responsible AI practices, and builds customer capability across complex enterprise environments.

Own the strategy, definition, and delivery of AI-powered messaging experiences across Web Messaging, Mobile Messaging, WhatsApp, and other channels. Translate customer problems into scalable generative AI, conversational AI, and automation products; use customer insights and production data to prioritize investments; and influence roadmaps across AI, Messaging, Digital Platform, Engineering, Design, Sales, and Customer Success. Drive use cases from experimentation through production adoption and enterprise scale.

Leads Genesys’ AI product marketing strategy, including positioning, messaging, competitive differentiation, go-to-market programs, launches, customer proof, analyst engagement, and seller enablement. Partners with Product, Engineering, Sales, Customer Success, and Marketing to translate complex AI capabilities into compelling enterprise value. Represents Genesys externally as an AI thought leader and builds and develops a high-performing product marketing team while measuring impact across pipeline, adoption, seller effectiveness, competitive wins, and market perception.

Lead design, build, and scaling of Agentic AI and industry-specific solution accelerators on Genesys Cloud. Develop reusable multi-agent workflows, RAG-based knowledge orchestration, integrations with enterprise systems, prototypes, and production-grade AI applications. Provide technical leadership, mentor engineers, collaborate with product and industry SMEs, and deliver repeatable solution blueprints to accelerate deployment and time-to-value.