Member of Technical Staff, Field Eng

Remote

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Cloud Computing, AI & Machine Learning, Open Source SoftwareIndustries

Requirements

Candidates should have 5+ years of pre- and post-sales experience as a sales engineer, solutions engineer, architect, customer success engineer/manager, or consultant. Strong technical skills including Python fundamentals are required, along with experience in enterprise SaaS, infrastructure, open source, and/or ML/AI technologies. Experience with public cloud and enterprise infrastructure, along with a customer success orientation and the ability to demonstrate technical concepts to diverse audiences, is also necessary.

Responsibilities

The Member of Technical Staff, Field Engineer will act as the technical representative and advocate for Anyscale customers, working closely with sales, product management, and engineering. Responsibilities include building product demos, tutorials, reference architectures, and blogs; educating customers on Ray; working with customers to build applications on Ray; understanding the ML landscape; collaborating cross-functionally to represent customer needs; advising users as a trusted advisor; identifying product improvements; managing stakeholders; communicating about products and services; and creating content with marketing to evangelize Anyscale and Ray.

Skills

Distributed Computing

Machine Learning

Ray

Technical Demos

Customer Success

Technical Communication

Open Source

Anyscale

Platform for scaling AI workloads

About Anyscale

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.

San Francisco, CaliforniaHeadquarters

2019Year Founded

$252.5MTotal Funding

SERIES_CCompany Stage

Enterprise Software, AI & Machine LearningIndustries

201-500Employees