Sales Enablement Manager at Anyscale

San Francisco, California, United States

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$171,400 – $223,700Compensation

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

Full TimeJob Type

UnknownVisa

Technology, AI, Machine LearningIndustries

Requirements

5+ years of experience in sales enablement or related roles within B2B SaaS software
Strong track record of driving measurable improvements in sales productivity and effectiveness
Hands-on experience in startup or scale-up environments
Proven success partnering with sales, marketing, and product teams
Demonstrated ability to scale enablement programs, including implementing tools, training, and processes

Responsibilities

Create enablement content (decks, one-pagers, demo scripts, case studies)
Coach and shadow sales calls, providing feedback on messaging, discovery questions, and objection handling
Stand up and manage tools and processes with a modern tech stack
Translate technical updates into customer-facing narratives
Continuously test, measure, and refine enablement efforts

Skills

Key technologies and capabilities for this role

Sales EnablementContent CreationSales TrainingObjection HandlingDemo ScriptsCase StudiesSales ToolsTech Stack ManagementSales CoachingMessaging RefinementDiscovery Questions

Questions & Answers

Common questions about this position

What is the salary range for the Sales Enablement Manager position?

The salary range is $171.4K - $223.7K.

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

This information is not specified in the job description.

What experience is required for this Sales Enablement Manager role?

Candidates should have 5+ years in sales enablement or related roles in B2B SaaS, hands-on experience in startups or scale-ups, proven success partnering with sales, marketing, and product teams, and ability to scale enablement programs.

What is the company culture like at Anyscale?

Anyscale fosters a dynamic environment where speed, precision, and creativity matter, supporting a high-performing, fast-moving sales organization in a mission to democratize distributed computing.

What makes a strong candidate for this role?

A strong candidate has a track record of driving measurable sales productivity improvements, experience building enablement from the ground up in resource-limited settings, and success translating complex technical offerings into compelling value propositions.

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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