Effortless scalable computing for AI and Python
Anyscale, headquartered in Yerba Buena, San Francisco, CA, is a leader in scalable computing for AI and Python, providing an AI-native platform that seamlessly scales from a single machine to thousands of GPUs. Founded by the creators of Ray, Anyscale has raised $259.6 million in Series C funding an...
Anyscale offers a comprehensive benefits package including a monthly learning and wellness stipend, paid volunteer time off, and 12 weeks of paid pare...
Anyscale fosters a culture focused on solving the challenges of AI infrastructure, leveraging the open-source Ray framework to enhance distributed AI ...
Anyscale • Bengaluru, Karnataka
About Anyscale
At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.
With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.
Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.
About the role
The primary role is to serve as a technical advisor and champion for Anyscale customers with expertise in infrastructure, cloud management, K8, etc. In this function, you will play a crucial role in the customers’ post-sale journey - helping them to onboard, adopt and grow on Anyscale, troubleshooting and resolving open customer tickets and driving consumption.
Anyscale is an ever evolving platform and hence will require close co-ordination with our engineering teams to debug complex issues. This is an exciting role for those who are technically curious and passionate about ML/AI, LLM, vLLM and the role of AI in next generation applications. It’s an opportunity to make a significant impact in a collaborative, fast-paced environment while building a new segment in this space.
In this role, you’ll be able to
Be a solutions architect, technical advisor, and internal champion for our key customers; helping them to successfully onboard and adopt the Anyscale platform
Own customer issues end-to-end, from troubleshooting, escalations and eventual resolution
Participate in our follow-the-sun customer support model to ensure continuity in resolving high priority tickets
Keep track of open customer bugs and feature requests to influence prioritization and provide timely customer updates upon resolution
Manage current workload state of key customers and help to identify new workloads to drive account expansion
Contribute towards improvement of internal tools and documentation of playbooks, guides and best practices etc. based on observed patterns
Habitually provide feedback and collaborate cross-functionally with product and engineering teams to address customer issues with a focus on improving the product experience
Build and maintain strong relationships with technical stakeholders within customer accounts
Qualifications
5+ years of experience in a customer-facing technical role with 2+ years in a dynamic, fast-paced, startup-like environment
Strong organizational skills and ability to manage multiple customer needs simultaneously
Proficient in deploying and resolving issues within container orchestration platforms (such as Kubernetes) and working with infrastructure as code tools (such as Terraform).
Hands-on experience with one or more of the major cloud platforms (AWS, GCP or Azure)
Knowledge in Observability tools (e.g. Grafana)
Excellent communication and interpersonal skills
Strong sense of ownership, self-motivation and eagerness to acquire new skills and do new things
Willingness to uplevel the knowledge and skills of your peers through mentorship, trainings and shadowing
Bonus
Experience with Ray
Knowledge of MLOps platforms in support of ML/AI, Data Engineering and Data Science teams
Familiarity with container orchestration platforms (e.g., Kubernetes), infrastructure as code (e.g. Terraform), CI/CD tools (e.g. Github Actions)
Knowledge of training, fine-tuning and inference/serving of LLMs
Compensation
At Anyscale, we take a market-based approach to compensation. We are data-driven, transparent, and consistent. As the market data changes over time, the target salary for this role may be adjusted.
Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.
Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish
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