Sales Engineer

Job not on LinkedIn

November 26

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Logo of ArangoDB

ArangoDB

Software • SaaS • Artificial Intelligence

ArangoDB is a flexible and scalable graph database platform designed for a variety of applications, particularly in a data-intensive environment like Generative AI. It supports multiple data models including graph, vector, document, full-text search, and geospatial databases, all within a single unified system. This allows developers to efficiently navigate complex data interactions and perform advanced analytics, making it ideal for sectors such as healthcare, finance, telecommunications, and more.

51 - 200 employees

Founded 2015

☁️ SaaS

🤖 Artificial Intelligence

💰 $27.8M Series B on 2021-10

📋 Description

• Craft and deliver outstanding technical presentations and architecturally sound demonstrations of Arango and its GenAI suite for clients • Deliver demonstrations, drive Proof of Concepts/Technology (PoCs/PoTs) with prospects and customers, often in comparison to other (NoSQL) database technologies and other Machine Learning/AI enterprise solutions • Utilize existing skillset and acquired Arango knowledge to build functional demos for various use cases that incorporate the core database as well as GenAI capabilities • Evangelize Arango’s GenAI suite & core DB to prospects and potentially in 3rd party presentations and panel discussions designed to generate awareness • Solve technical problems of our (potential) clients with the best solution • Work closely with the Sales team in the US and Europe, participating in client meetings • Contributions and feedback on technical white papers, conduct seminars, assist with trade shows, and other marketing-related events in this area

🎯 Requirements

• Bachelor's degree in Computer Science, Machine Learning or Data Science • Experience in a client-facing technical sales, sales engineering or in a consulting capacity with enterprises, focusing on AI solutions, databases, data warehouses, big data systems, analytics, and machine learning • Technical hands-on experience and understanding of data and AI/ML tooling, workflows, and trends in an enterprise setting • Experience building and integrating LLMs, with a particular focus on Retrieval-Augmented Generation (RAG) systems • Strong Architecture skills - ie, mapping a business to technical requirements and understanding multiple components to build a solution • Proficiency in Python and SQL • Knowledge of key infrastructure stacks (AWS, Linux, Docker, Kubernetes, etc.) • High-energy, upbeat, tenacious team player with outstanding interpersonal skills • Strong understanding of the sales process

🏖️ Benefits

• Competitive compensation plan that includes uncapped variable earnings • Meaningful career growth opportunities • Flexible work arrangements

Apply Now

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