Sr. AI/ML Sales Engineer

Posted 11 Days Ago
Be an Early Applicant
EST
Senior level
Database • Analytics
The Role
As a Senior Solution Architect at ArangoDB, you will serve as a technical consultant and product evangelist, crafting presentations and leading Proof of Concepts for enterprise clients in data science and machine learning. Your role involves problem-solving, collaborating with sales teams, and engaging with the community to showcase the ArangoDB Data Science suite's capabilities.
Summary Generated by Built In

Sr. Solution Architect - USA

About ArangoDB

Founded in Germany and now headquartered in San Francisco, ArangoDB is the most highly scalable, open-source, Graph Database with AI/ML capabilities available in the market. In addition to graphs, it is natively supporting a number of data models including Document, and Key-Value as well as Full-Text Search and Retrieval. It serves as the scalable backbone for Graph-Analytics and complex data architectures across many different industries. Developers can build high-performance applications using a convenient SQL-like query language or JavaScript extensions. Find out more at the Company page and follow us on Linkedin.

As a Data Science Solution Architect at ArangoDB, you are both a pre-sales technical consultant and a product evangelist. Through product presentations, Proof of Concepts, and community engagement, you demonstrate to clients the technical problem-solving abilities of our Data Science suite as well as core capabilities and discuss use cases directly with data scientists, developers, ML ops teams, and managers on different levels.
 

Location: USA - EST

Only candidates in the USA who are generally able to work Eastern Time will be considered for the position. While this is a work-from-home role, some travel to client locations may be required.

 

You Will:

  • 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 presentations 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.

 

Your Skills:

  • 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

 

Why Join ArangoDB

Our headquarters is in San Francisco (US) and we have an office in Cologne (Germany), but most of our diverse team works remotely worldwide. So, do you prefer your desk at home or do you want to join us at one of our locations? Your choice.


The ArangoDB team comes from 5 different continents and more than 20 countries. Diverse backgrounds enable us to see new solutions. We invite people from every culture, national origin, religion, sexual orientation, gender identity or expression, and of every age to apply to our positions. All employment decisions are based on business needs, job requirements, and individual qualifications. Arango is committed to a workplace free of discrimination and harassment based on any of these characteristics. We love this diversity and encourage everyone curious and visionary to join the multi-model movement.

Top Skills

Python
Spark
SQL
The Company
HQ: San Francisco, CA
110 Employees
On-site Workplace
Year Founded: 2014

What We Do

ArangoDB is the most scalable open-source graph database, with more than 12,000 stargazers on GitHub. Building on the concept of ‘graph and beyond’, ArangoDB combines the analytical power of graphs with JSON documents, a key-value store, and a full-text search engine, enabling developers to access and combine all of these data models with a single, elegant, declarative query language. It serves as the scalable backbone for graph analytics and complex data architectures across many industries.

Founded in 2015, ArangoDB Inc. is a privately-held company backed by Bow Capital, Iris Capital, New Forge, and Target Partners. It is headquartered in San Francisco and Cologne, Germany, with offices and employees around the world. Learn more at www.arangodb.com.

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