Enterprise Account Executive

Singapore, Singapore, Singapore

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Enterprise Software, AI & Machine Learning, Artificial Intelligence, Cloud Computing, Distributed SystemsIndustries

Requirements

Candidates must have over 5 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 essential. The ideal candidate will be a proactive, independent thinker with high energy and a positive attitude, possessing excellent verbal and written communication, presentation, and relationship management skills. Familiarity with a solution-based selling approach, experience managing complex sales processes, and the ability to carry technical conversations in the data, compute, and ML space are also required. The ability to thrive in a fast-paced startup environment is necessary.

Responsibilities

The Enterprise Account Executive will be responsible for achieving quarterly and annual sales quotas for named accounts by developing sales strategies, target prospect lists, and regional sales plans. This role involves prospecting, developing, and closing new business, arranging and conducting executive discussions, and managing the sales process to closure. Responsibilities also include developing marketing plans with the marketing team to drive revenue growth, acting as a trusted advisor to customers by understanding their roadmaps to drive Anyscale solutions, and managing ongoing account relationships to ensure customer satisfaction and drive additional revenue streams.

Skills

Enterprise Sales

Account Management

Sales Strategy

Prospecting

Business Development

Negotiation

Closing Deals

Presentation Skills

Listening Skills

Contact Management

Sales Quotas

Territory Management

Marketing Planning

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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