Teams at Oyster

Build and operate shared AI platform infrastructure for LLM applications, agents, RAG, tool calling, and AI workflows. Develop data and knowledge pipelines, secure enterprise integrations, reusable frameworks, deployment and observability standards, and developer tooling. Take AI systems from experimentation to reliable production while ensuring security, privacy, governance, scalability, quality, and cost efficiency. Collaborate across Engineering, Product, and IT to establish practical AI platform patterns and guardrails.

Own product vision, strategy, and execution for Hire & Onboard or Benefits. Lead discovery, prioritisation, and roadmaps; partner with Engineering and Design; coordinate cross-functional stakeholders (Legal, Compliance, Ops, GTM). Drive AI and automation use cases, embed regulatory/compliance requirements, use quantitative and qualitative data to measure impact, and improve product processes and outcomes.

Own product vision, strategy, and execution for Hire & Onboard or Benefits domain. Lead discovery, roadmap, and delivery with Engineering and Design; embed regulatory and compliance requirements; leverage AI/automation and data to improve outcomes; align cross-functional stakeholders and measure impact.