Offer summary

Qualifications:

5+ years of experience in a customer-facing technical role, with 2+ years in a fast-paced environment., Hands-on experience in ML/AI, Data Engineering, and Data Science., Knowledge of cloud platforms such as AWS, GCP, or Azure., Excellent communication and interpersonal skills..

Key responsabilities:

Serve as a technical advisor and champion for Anyscale customers during their post-sale journey.

Own customer issues end-to-end, including troubleshooting and resolution.

Participate in a follow-the-sun customer support model to resolve high priority tickets.

Build and maintain strong relationships with technical stakeholders within customer accounts.

Job description

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.

The Technical Services Engineer’s primary role is to serve as a technical advisor and champion for Anyscale customers. In this function, you will play a crucial role in the customers’ post-sale journey - helping them to onboard, adopt and grow on Anyscale. While also 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, triaging, 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 e.t.c. 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

Hands-on experience in ML/AI, Data Engineering and Data Science

Knowledge in cloud platforms (AWS, GCP or Azure)

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

Familiarity with container orchestration platforms (e.g., Kubernenetes), infrastructure as code (e.g. Terraform), CI/CD tools (e.g. Github Actions)

Knowledge or 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.

This role is also eligible to participate in Anyscale's Equity and Benefits offerings, including the following:

Stock Options

Healthcare plans, with premiums covered by Anyscale at 99% for both employees and dependents

401k Retirement Plan

Wellness stipend

Education stipend

Paid Parental Leave

Flexible Time Off

Commute reimbursement

100% of in-office meals covered

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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