[Remote] Enterprise Account Executive at Arize AI

Remote

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Artificial Intelligence, AI & Machine Learning, SoftwareIndustries

Requirements

Candidates must have 5+ years of enterprise SaaS sales experience, be hungry, aggressive, and motivated. Familiarity with sales technologies for prospecting and attracting prospects is required, along with a self-starter attitude and comfort in limited process environments. Full-cycle sales experience and the ability to navigate complex enterprise deals are essential. Strong communication skills for clearly and objectively communicating field observations are also necessary. Previous selling experience in Software Engineering, Data Science, or Machine Learning is considered a bonus.

Responsibilities

The Enterprise Account Executive will act as a networker, seller, and closer, building relationships with AI/ML stakeholders and actively participating in the community. Responsibilities include conducting discovery with prospects, sharing the Arize vision, and running a sophisticated prospecting strategy to identify and win new deals. They will create sales plays, write talk tracks, strategically identify new business opportunities, and conduct deep research on accounts, stakeholders, and competitors. The role also involves managing proof of concepts, driving adoption, growing accounts, and navigating internal/external stakeholders to ensure success. Understanding use cases, scoping licensing, and finding more workloads are key duties, with a preference for using BANT or MEDDIC methodology.

Skills

Sales

Account Management

Business Development

AI/ML

Generative AI

Prospecting

Relationship Building

Communication

Negotiation

Problem-Solving

Arize AI

AI observability and model evaluation platform

About Arize AI

Arize AI provides a platform focused on AI observability and evaluating language models. The platform allows companies to monitor, troubleshoot, and assess the performance of various machine learning models, including those used for natural language processing, computer vision, and recommendations. Users can access analytics and workflows that help identify and resolve issues within their AI systems, ensuring optimal performance. Key features include task-based evaluations for aspects like hallucination and relevance, as well as tools for visualizing query and knowledge base embeddings to enhance retrieval accuracy. Unlike many competitors, Arize AI specifically targets the needs of top AI companies, offering tailored solutions for continuous improvement of their models. The goal of Arize AI is to empower these companies to enhance their AI capabilities through effective monitoring and evaluation.

Berkeley, CaliforniaHeadquarters

2020Year Founded

$59.3MTotal Funding

SERIES_BCompany Stage

Data & Analytics, AI & Machine LearningIndustries

51-200Employees