Senior Solution Architect - AI/ML

August 26

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ArangoDB

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The Most Complete and Scalable Graph Database for Real-world Use Cases.

NoSQL • Document Store • GraphDB • Key Value Store • Multi-Model

51 - 200

Description

• Craft and deliver outstanding technical presentations and architecturally sound demonstrations of ArangoDB and its Data Science suite for clients. • 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. • Solve technical problems of our (potential) clients with the best solution for the client in mind. • Work closely with the Sales Executives in the US and Europe, participating in client meetings. • Evangelize ArangoDB’s Data Science suite to prospects and potentially in 3rd party presentation and panel discussion designed to generate awareness. • Coordinate with Product Management and Marketing by providing them with detailed feedback regarding customer environment, demands, and trends. • Work with Marketing for contributions and feedback on technical whitepapers, conduct seminars, assist with trade shows and other marketing-related events in this area. • Communicate with and contribute to the worldwide ArangoDB community.

Requirements

• 5+ years of experience in a technical sales or consulting capacity with enterprises, focusing on complex solution sales of mission-critical data systems (databases, data warehouses, big data systems, analytics, and machine learning) • Deep technical understanding of data and ML tooling, workflows, and trends in enterprise setting • Proficiency in Python, Spark, and/or SQL with experience developing ETL applications • You have a broad and thorough knowledge of systems and application design as well as in-depth knowledge of (NoSQL) databases and distributed systems. • You are a high-energy, upbeat, tenacious team player with outstanding interpersonal skills and you have the ability to persuade others through presentations, demonstrations, and written communication. • Others would describe you as a Self-starter, perpetual learner, team player, and relationship builder. • Bachelor's degree in Computer Science or relevant experience • Working knowledge of Neural Networks, ML tasks like Node Classification, Node Similarity, Link Prediction, and related concepts. • You are fluent in English both verbal and written. • Extra points for: • Previous experience with Graph databases or frameworks • Experience building and integrating LLMs • Knowledge of infrastructure stacks (AWS, Linux, Scala, Docker, Kubernetes, Kafka, Spark, etc.) • Administration experience with various operating systems (Linux, Windows), distributed systems, cloud, and data storage.