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Perform end-to-end product usage analyses, build dashboards and reports, maintain product analytics instrumentation (Heap/ContentSquare), validate data quality and AI-generated outputs, and partner with product and business stakeholders to deliver actionable UX insights.

Lead strategy and execution for Platform Foundations in Genesys Cloud: API usage visibility, platform limits, configuration-as-code, CI/CD, storage reporting, self-service administration, and AI-driven operational tooling. Collaborate with engineering, UX, customer success, and GTM teams to translate complex platform systems into scalable, intuitive customer experiences that improve transparency, automate administration, and optimize operations.

As a Principal Software Engineer, you'll design backend platforms for AI products, set technical strategies, enhance APIs, and ensure operational excellence while leading multiple teams.

Design, build, deploy, and operate scalable analytics and streaming data platforms. Implement fault-tolerant services for ingestion, storage, processing, and querying; automate large AWS deployments; troubleshoot production incidents; mentor engineers and collaborate with product and data teams to turn ideas into reliable production systems.

Design, build, test, deploy and operate high-throughput backend services in Java on AWS. Own services end-to-end (APIs, events/streams, storage), ensure scalability, stability, observability and security, participate in on-call and incident response, collaborate cross-functionally, mentor engineers, and deliver features from discovery to GA.

Lead strategy and execution for AI-powered asynchronous engagement across messaging, email, and proactive/predictive journeys. Define vision, measurable outcomes, and portfolio priorities; partner with AI, engineering, and go-to-market teams; engage customers; build and coach a product organization to operationalize AI at enterprise scale and deliver measurable automation and CX improvements.