Regional Sales Director

San Francisco, California, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, AI & Machine Learning, Cloud Computing, SoftwareIndustries

Requirements

Candidates should have proven experience as a Sales Director, Regional Manager, or similar leadership role with a track record of exceeding sales targets. Industry experience selling to ML engineers, data scientists, or data engineers is required, along with strong leadership, communication, and interpersonal skills. Proficiency with CRM software and sales analytics tools, as well as strong negotiation and closing skills, are also necessary. Experience building and managing high-performing teams who drive complex, multi-persona, highly-technical sales, preferably using the Command of the Message framework, is highly desired. Ability to travel as needed within the region is also a requirement.

Responsibilities

The Regional Sales Director will lead and manage the sales team and sales operations within the SF Bay Area and beyond. They will develop and implement sales strategies to drive revenue growth, champion the Command of the Message sales methodology, and sell the Anyscale platform's value. This role involves acting as a player-coach, analyzing market trends, recruiting and mentoring the sales team, setting expectations, providing coaching, and building strong client relationships. The Director will also serve as a primary point of contact for major accounts, partner with internal teams for sales growth initiatives, and prepare sales performance reports for leadership.

Skills

Sales Strategy

Revenue Growth

Machine Learning

Distributed Computing

Sales Management

Team Leadership

Market Analysis

Customer Needs Analysis

Competitor Analysis

Sales Methodology

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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