[Remote] Enterprise Account Executive at Anyscale

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

Skills

Key technologies and capabilities for this role

Enterprise SalesAccount ManagementSales StrategyProspectingBusiness DevelopmentNegotiationClosing DealsPresentation SkillsListening SkillsContact ManagementSales QuotasTerritory ManagementMarketing Planning

Questions & Answers

Common questions about this position

What experience is required for the Enterprise Account Executive role?

Candidates need 5+ years of full cycle sales experience selling software or cloud-based applications, with emphasis on ML, cloud, and SaaS desired, plus a track record of success in driving consistent sales.

What key skills are needed for this position?

The role requires excellent presentation and listening skills, organization and contact management capabilities, experience managing a complex sales process, and some understanding of the data, compute, ML space to carry technical conversations.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What makes a strong candidate for this Enterprise Account Executive position?

Strong candidates are energetic, self-managed professionals with experience managing complex sales processes, excellent presentation and listening skills, organization and contact management capabilities, and familiarity with ML, cloud, and SaaS sales.

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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