Customer Success Engineer (Scaled)
CriblFull Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Candidates should have over 5 years of experience in a customer-facing technical role, with at least 2 years in a startup environment. Proficiency in container orchestration platforms like Kubernetes and infrastructure as code tools such as Terraform is required, along with hands-on experience with major cloud platforms (AWS, GCP, or Azure) and knowledge of observability tools like Grafana. Excellent communication, interpersonal skills, strong ownership, self-motivation, and a willingness to learn and mentor are also essential. Experience with Ray, MLOps platforms, and LLMs is a bonus.
The Technical Services Engineer will act as a technical advisor and champion for Anyscale customers, guiding them through onboarding, adoption, and growth on the Anyscale platform. This role involves owning customer issues end-to-end, including troubleshooting, triaging, escalations, and resolution, while participating in a follow-the-sun support model. Responsibilities include tracking customer bugs and feature requests, managing customer workload states to drive account expansion, and contributing to the improvement of internal tools and documentation. The engineer will also provide feedback and collaborate with product and engineering teams to enhance the customer product experience and build strong relationships with technical stakeholders at customer accounts.
Platform for scaling AI workloads
Anyscale provides a platform designed to scale and productionize artificial intelligence (AI) and machine learning (ML) workloads. Its main product, Ray, is an open-source framework that helps developers manage and scale AI applications across various fields, including Generative AI, Large Language Models (LLMs), and computer vision. Ray allows companies to enhance the performance, fault tolerance, and scalability of their AI systems, with some users reporting over 90% improvements in efficiency, latency, and cost-effectiveness. Anyscale primarily serves clients in the AI and ML sectors, including major companies like OpenAI and Ant Group, who rely on Ray for training large models. The company operates on a software-as-a-service (SaaS) model, charging clients a subscription fee for access to the Ray platform. Anyscale's goal is to empower organizations to effectively scale their AI workloads and optimize their operations.