[Remote] Member of Technical Staff, Field Eng (Singapore) at Anyscale

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Not SpecifiedCompensation

N/AExperience Level

N/AJob Type

Not SpecifiedVisa

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Requirements

5+ years of pre- and post-sales experience (sales engineer, solutions engineer, architect, customer success engineer/manager, or consultant)
Strong technical skills, including working knowledge of Python fundamentals and the ability to learn Ray and build Ray applications
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
Cross-functional collaboration with technical stakeholders (Engineering and Product)

Responsibilities

Being the technical face and biggest advocate for Anyscale and its customers
Working with sales, product management, and engineering to ensure the product has the right experiences
Leading complex POVs with users as they adopt Anyscale and Ray
Demoing the product, scoping POVs, and making users successful
Amplifying the voice of customers
Building product demos, tutorials, reference architectures, and blogs
Educating customers on how to use Ray
Working with customers as they build applications on Ray
Knowing the ML landscape and toolsets
Working cross-functionally to be the voice of customers and delivering impactful solutions
Acting as a trusted advisor for users at every layer of their organization
Identifying potential improvements and gaps in the product and prioritizing features
Efficiently managing stakeholders to ensure focus on key objectives and metrics
Driving crisp communication about products and services, both internally and externally
Working alongside marketing and Go-to-Market to create and deliver high-quality content

Skills

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

Benefits

Medical, Dental, and Vision insurance

401K retirement savings

Flexible time off

FSA and Commuter benefits

Parental and family leave

Office & phone plan reimbursement

Risks

ShadowRay vulnerability in Ray framework poses significant security risk with no patch.

OctoML's OctoAI service increases competition in AI infrastructure market.

Dependency on Nvidia's technology could be risky if Nvidia faces issues.

Differentiation

Anyscale's Ray framework scales AI applications from laptops to cloud seamlessly.

Ray is widely used in Generative AI, LLMs, and computer vision fields.

Anyscale's SaaS model provides recurring revenue through subscription fees for Ray platform.

Upsides

Anyscale's $100M Series C funding indicates strong investor confidence and growth potential.

Partnership with Nvidia enhances performance and cost-efficiency for AI deployments.

Anyscale Endpoints offers 10X cost-efficiency for popular open-source LLMs.

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