Account Executive - High Tech (EMEA) at Anyscale

London, England, United Kingdom

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, High Tech, Artificial IntelligenceIndustries

Requirements

3+ years of full cycle sales experience selling software or cloud based applications (emphasis on ML, cloud, and SaaS desired)
A track record of success in driving consistent activity, pipeline development and quota achievement
Experience determining customer requirements and presenting appropriate solutions
Proactive, independent thinker with high energy/positive attitude
Excellent verbal and written communication, presentation, and relationship management skills
Ability to thrive in fast-paced startup environment
Familiar with solution-based approach to selling
Experience managing a complex sales process
Excellent presentation and listening skills
Organization and contact management capabilities
Some understanding of the data, compute, ML space and ability to carry a technical conversation on these topics

Responsibilities

Achieve sales quotas for named accounts on a quarterly and annual basis by developing a sales strategy in the allocated territory with a target prospect list, and a regional sales plan
Develop marketing plans with the marketing team to drive revenue growth
Be the trusted advisor to the customer by understanding their existing and future roadmap to drive the Anyscale solution within the marketplace
Prospect qualification and the development of new sales opportunities and ongoing revenue streams
Arrange and conduct initial Executive and CxO discussions and positioning meetings
Sales process management and opportunity closure
Ongoing account management to ensure customer satisfaction and drive additional revenue streams

Skills

Prospecting

Sales Strategy

Quota Achievement

Negotiation

Deal Closing

Presentation Skills

CRM Management

Territory Management

Marketing Planning

Account 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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