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The AI Solutions Engineer will develop and deploy AI applications, working closely with customers to translate business goals into reliable services, while being involved in project management and product specifications.

The GPU Kernel Engineer will design and implement high-performance GPU kernels, optimize code, and collaborate with research teams to enhance AI workloads.

As an AI Support Engineer, you'll manage support requests, resolve user issues, optimize ML models, and contribute to product development.

The Customer Marketing Manager at Baseten will oversee customer co-marketing initiatives, manage evidence assets, and develop marketing channels to highlight customer success stories, ensuring alignment with technical audiences.

Partner with Sales and customers to run technical discovery, lead demos and scoping, design repeatable ML inference deployments across modalities, benchmark inference performance, and drive POC execution and stakeholder alignment.

Lead development of enterprise platform features focusing on infrastructure, security, and compliance for enterprise customers. Oversee projects, collaborate cross-functionally, and mentor engineering teams.

The Data Engineer will build and scale Baseten's internal data platform, designing data models and pipelines while enabling self-service analytics and ensuring data reliability.

As a Capacity Operations Associate, you'll manage technical customer success and infrastructure operations, ensuring reliable deployment and management of cloud-based resources using Kubernetes and other tools.

As a Core Product Manager, you will shape the developer experience for AI applications, driving the roadmap for APIs, UI, and workflows, while collaborating with design and engineering teams.

The Infrastructure Finance Lead will manage the operating P&L for compute infrastructure, handle financial analysis for capacity decisions, and ensure budget adherence across teams.