Anyscale

Account Executive - High Tech

San Francisco, California, United States

Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
High Tech, Software, AI & Machine Learning, Artificial Intelligence, Distributed ComputingIndustries

Requirements

Candidates should have at least 3 years of full-cycle sales experience selling software or cloud-based applications, with an emphasis on ML, cloud, and SaaS. A proven track record of driving consistent activity, pipeline development, and quota achievement is required. Experience in determining customer requirements and presenting appropriate solutions, along with excellent verbal and written communication, presentation, and relationship management skills, are essential. The ability to thrive in a fast-paced startup environment and an understanding of the data, compute, and ML space are also necessary.

Responsibilities

The Account Executive will achieve sales quotas for named accounts by developing sales strategies, target prospect lists, and regional sales plans. They will develop marketing plans with the marketing team to drive revenue growth, act as a trusted advisor to customers by understanding their roadmaps, and prospect, develop, and close new business. This role involves arranging and conducting executive discussions, managing the sales process, and ensuring customer satisfaction and additional revenue streams through ongoing account management. The Account Executive will also be responsible for prospecting, qualifying leads, and developing new sales opportunities.

Skills

Sales
Prospecting
Business Development
Negotiation
Closing
Account Management
Sales Strategy
Territory Management
Presentation Skills
Listening Skills
Organization
Contact Management

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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