Forward Deployed Engineer at Anyscale

San Francisco, California, United States

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$170,000 – $247,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial Intelligence, Machine LearningIndustries

Requirements

5+ years of customer-facing experience in forward deployed engineering, solutions architecture, field engineering or Software Engineering
Strong technical foundation with Ray and the ability to apply Ray to real-world use cases
Proven success driving enterprise adoption of complex SaaS, infrastructure, or ML/AI solutions
Experience engaging both executive and technical stakeholders, tailoring communication to each audience
A customer-first mindset with a track record of delivering measurable business impact
Willingness to travel frequently and spend extended time embedded with customers

Responsibilities

Work onsite with key customers to lead proof-of-value engagements, deployments, and enterprise adoption
Translate business objectives into technical solutions that demonstrate clear ROI and strategic impact
Build and deliver high-impact demos, reference architectures, and enablement programs tailored to customer needs
Act as a trusted advisor across all levels of the organization, ensuring confidence in Anyscale and Ray
Collaborate closely with sales, product, and engineering to accelerate deals, unblock challenges, and drive long-term success
Provide structured feedback from customer engagements to influence product direction and go-to-market strategy

Skills

Ray

Python

Machine Learning

Distributed Systems

Distributed Computing

ML Scaling

Reference Architectures

Proof of Value

Customer Engineering

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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