Member of Technical Staff, Field Eng at Anyscale

London, England, United Kingdom

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Technology, AIIndustries

Requirements

5+ years of pre- and post-sales experience, either as a sales engineer, solutions engineer, architect, customer success engineer/manager, or a consultant
Strong technical skills, including working knowledge of Python fundamentals and the ability to learn Ray and build Ray applications with various libraries
Experience in enterprise SaaS, infrastructure, open source, and/or ML/AI technologies
Experience in public cloud and enterprise infrastructure
Customer success orientation, with the ability to demonstrate technical concepts to technical and non-technical audiences, build value with end users, and drive solutions
Cross-functional collaboration with technical stakeholders, including Engineering and Product

Responsibilities

Building awesome product demos, tutorials, reference architectures, and blogs demonstrating the strong capabilities of the Anyscale platform
Knowing Ray from end-to-end and educating customers on how to use Ray
Working with customers as they build applications on Ray
Knowing the ML landscape and toolsets that are at the forefront of cutting edge tech
Working cross-functionally to be the voice of our customers and delivering impactful solutions alongside our product and engineering teams
Working directly with customers at every layer of their organization (C Suite to data scientists and developers) and acting as a trusted advisor for our users
Helping us identify potential improvements and gaps in our product and prioritizing features through the development process
Efficiently managing stakeholders to ensure that we stay focused on our key objective and metrics in the sales process
Driving crisp communication about our products and services, both internally and externally
Working alongside marketing and Go-to-Market to create and deliver high quality content to evangelize Anyscale and Ray

Skills

Key technologies and capabilities for this role

RayDistributed ComputingMachine LearningProduct DemosTutorialsReference ArchitecturesTechnical CommunicationSales Engineering

Questions & Answers

Common questions about this position

Is this a remote or hybrid role?

This is a hybrid position.

What experience is required for this role?

The role requires 5+ years of pre- and post-sales experience.

What salary or compensation does this position offer?

This information is not specified in the job description.

What kind of work environment or team collaboration is expected?

You'll work closely with sales, product management, and engineering teams, collaborating cross-functionally to represent customer needs and drive product improvements.

What makes a strong candidate for this Field Engineer role?

Ideal candidates are scrappy executors who can work independently, lead complex POVs, demo products effectively, communicate technical concepts to diverse audiences from C-suite to engineers, and have deep knowledge of Ray and the ML landscape.

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