Teams at Auxia

Build and operate high-scale backend, platform, data, and ML infrastructure for Auxia’s agentic AI platform. Responsibilities may include Kubernetes infrastructure, real-time ingestion, Kotlin and gRPC microservices, recommendation engines, model serving, developer tooling, and enterprise integrations. Engineers own systems end to end, including design, deployment, monitoring, and optimization across a multi-tenant, multi-region environment.

Own strategic enterprise accounts across the full sales lifecycle, from outbound prospecting and executive alignment through procurement, close, expansion, and renewal. Build account plans, quantify ROI, develop internal champions, manage complex multi-stakeholder sales cycles, maintain accurate forecasts, and partner with product and engineering on solution design. The role requires consultative selling, enterprise quota attainment, strategic account expansion, and comfort operating in an early-stage startup environment.

Build and deploy large-scale personalization, recommendation, and ranking models for Auxia’s AI platform. Lead experimentation spanning causal inference, personalization, and business impact; collaborate with global data science and engineering teams to integrate models into the core product. Translate Japanese customer insights into reusable tooling, documentation, and product feedback, while applying academic and industry research to production systems.