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Posted 6 months ago
Requirements and responsibilities
LocationBased in the Newyork Area with the ability to travel regionally as needed.About the Role: We are seeking a highly technical Sales Engineer to join our U.S. Enterprise Sales organization and drive growth across strategic accounts in the Bay Area and West Coast region. The ideal candidate is someone who has built RAG systems for LLMs, Chatbots and other internal business applications and who brings either hands-on OR deep research/educational background in NLP, Machine Learning, and/or Data Science. We are excited to bring on a candidate who thrives in a scaling, fast-moving environment and wants to make an outsized impact in shaping Arango's success across North America. We are open to current Solution Architects, Sales Engineers or Software / AI Engineers who are interested in leaning into a Sales Engineering role.Responsibilities:Craft and deliver outstanding technical presentations and architecturally sound demonstrations of Arango and its GenAI suite for clients.Deliver demonstrations, drive 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.What You'll Bring:Bachelor's degree in Computer Science, Machine Learning or Data ScienceExperience 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 settingExperience building and integrating LLMs, with a particular focus on Retrieval-Augmented Generation RAG systemsStrong Architecture skills - mapping a business to technical requirements and understanding multiple components to build a solutionProficiency in Python and SQLKnowledge of key infrastructure stacks AWS, Linux, Docker, Kubernetes, etc.High-energy, upbeat, tenacious team player with outstanding interpersonal skillsStrong understanding of the sales processWhy Join UsYou have the chance to play a key role in building the next great enterprise data and AI company! You'll be selling our category-defining technology, already trusted by innovative global brands, while partnering closely with an elite team of Sales, Product, and Engineering leaders. If you thrive in a culture that prizes excellence, autonomy, and accountability, you'll fit right in. We back up that culture with a competitive compensation plan that includes uncapped variable earnings and meaningful career growth opportunities.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 global minds of Arango come 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.
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