Anyscale

Regional Sales Director

San Francisco, California, United States

Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, AI & Machine Learning, Cloud Computing, SoftwareIndustries

About Anyscale

At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.

With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.

Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.

About the Role

Our customers turn to us for a Unified AI Platform so they don’t have to worry about building and maintaining complex infrastructure so they can focus on the business logic for their ML workloads. Anyscale’s Regional Sales Director will lead and manage our high-performing sales team and our sales operations within the SF Bay Area and beyond. This is an opportunity to partner with our leaders to develop and execute strategic sales plans that drive revenue growth across digital natives and enterprises across all industries. Our customers are pushing the boundaries of what is possible in machine learning, and our sales team has incredible momentum to take advantage of a once-in-a-generation TAM.

Responsibilities

  • Develop and implement sales strategies that align with revenue targets
  • Be a champion of the Command of the Message sales methodology and sell the value that the Anyscale platform provides
  • Act as a player-coach and lead by example; you are as comfortable generating pipeline as you are closing deals
  • Analyze market trends, customer needs, and competitor activities to identify growth opportunities
  • Recruit, train, and mentor a high-performing sales team, ensuring alignment with company values and objectives
  • Set clear expectations, provide coaching, feedback, and performance evaluations
  • Build and maintain strong relationships with key clients and stakeholders
  • Serve as a primary point of contact for major accounts within the region
  • Partner with Field Engineering, Marketing, Product, and Customer Support teams to develop initiatives that support sales growth
  • Prepare and present regular reports on sales performance, forecasts, and market trends to leadership

Qualifications

  • Experience building and managing high-performing teams who drive complex, multi-persona, highly-technical sales, preferably using the Command of the Message framework
  • 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, data engineers, or similar personas
  • Strong leadership, communication, and interpersonal skills
  • Ability to travel as needed within the region
  • Proficiency with CRM software and sales analytics tools
  • Strong negotiation and closing skills

Employment Type

Full-Time

Equal Opportunity Employer

Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.

Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish.

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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