Teams at Oyster

Own end-to-end improvements to Oyster AI, including agent capabilities, tool calling, retrieval, evaluation, infrastructure, and production reliability. Ship LLM-powered features, diagnose failures, manage quality, latency, cost, safety, and access-control trade-offs, and validate improvements through experiments and regression checks. Mentor product teams, establish reusable AI engineering patterns, and collaborate asynchronously across engineering and product.

Guide customers and team members through standard, complex, and bulk employment offboarding processes. Manage sensitive cases, escalations, service-level agreements, customer satisfaction metrics, data accuracy, and cross-functional coordination with HR, finance, product, legal, and support teams. Improve playbooks and workflows, contribute to knowledge resources, and support peer learning while maintaining empathy, organization, and operational efficiency in a fully remote environment.

Designs and delivers AI-native solutions across business functions including People, Legal, Finance, and Operations. Responsibilities include identifying transformation opportunities, building and deploying AI agents and automated workflows, integrating enterprise systems, driving adoption, measuring business impact, applying governance and human oversight, and mentoring colleagues. The role partners with functional leaders to redesign operating models and continuously improve production AI solutions.