Finde einen Job 
Finde eine Ausbildung 
Top Arbeitgeber 
Top Universitäten 
Für Unternehmen Auf einen Blick
- Aufgaben: Design and implement innovative solutions using Qdrant's vector database technologies.
- Arbeitgeber: Join Qdrant, a leader in open-source Vector Search for AI applications.
- Mitarbeitervorteile: Enjoy a remote-first culture, competitive salary, and career growth opportunities.
- Warum dieser Job: Be at the forefront of AI-driven search technology and make a real impact.
- Gewünschte Qualifikationen: Strong background in databases, search engines, and programming in Python required.
- Andere Informationen: This is a full remote position, available for US timezones only.
Das voraussichtliche Gehalt liegt zwischen 72000 - 108000 € pro Jahr.
Qdrant is a cutting-edge technology company specializing in open-source Vector Search designed for next-generation AI applications. Our platform enables high-performance vector similarity search, allowing businesses to unlock deep insights from unstructured data. By offering both open-source software and managed cloud solutions, we empower developers and enterprises to build scalable, AI-driven search and recommendation systems with ease.
Tasks
We are seeking an experienced Solution Architect with a strong background in databases, search engines, and machine learning. In this pivotal role, you will collaborate closely with our clients to design and implement innovative solutions leveraging Qdrant’s vector database technologies. You will serve as a technical expert and trusted advisor, guiding clients through the adoption and integration of our products to ensure their success.
Requirements
Key Responsibilities
- Client Collaboration: Engage with clients to understand their technical requirements and business objectives.
- Solution Design: Architect scalable and efficient solutions utilizing Qdrant’s vector database and cloud offerings.
- Technical Expertise: Provide in-depth guidance on best practices for integrating Qdrant’s products into existing systems.
- Pre-Sales Support: Assist the sales team with technical presentations, demonstrations, and proof-of-concept projects.
- Workshops & Training: Lead technical workshops and training sessions for clients and partners.
- Cross-Functional Liaison: Act as a bridge between clients and internal teams, including engineering and product development.
- Feedback Contribution: Relay client feedback to influence product enhancements and roadmap.
- Industry Insight: Stay updated on the latest trends in vector search, machine learning, and database technologies.
Qualifications
- Extensive knowledge of database systems and search engines.
- Understanding of vector search concepts.
- Strong programming skills in languages in Python.
- Familiarity with machine learning frameworks.
- Experience with cloud platforms and containerization (Docker, Kubernetes).
Preferred Qualifications
- Open-Source Contribution: Experience contributing to open-source projects.
- Industry Experience: Background in AI-powered applications like recommendation systems, NLP, or computer vision.
- Distributed Systems Knowledge: Understanding of distributed computing and microservices architecture.
Benefits
- Remote-first company culture.
- Opportunity to work with cutting-edge open-source technology.
- Competitive salary and comprehensive benefits package.
- Collaborative and dynamic work environment.
- Opportunities for career growth and advancement.
- A chance to be part of a rapidly growing company at the forefront of the search revolution.
Full remote position, US timezones only.
#J-18808-Ljbffr
Solutions Architect (Americas) Arbeitgeber: Qdrant
Kontaktperson:
Qdrant HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Solutions Architect (Americas)
✨Tip Number 1
Familiarize yourself with Qdrant's vector database technologies. Understanding their unique features and capabilities will allow you to speak confidently about how you can leverage them to meet client needs.
✨Tip Number 2
Engage with the community around open-source contributions. Participating in forums or contributing to projects can showcase your expertise and passion for the technology, making you a more attractive candidate.
✨Tip Number 3
Stay updated on the latest trends in vector search and machine learning. This knowledge will not only help you in interviews but also demonstrate your commitment to staying at the forefront of the industry.
✨Tip Number 4
Prepare to discuss your experience with cloud platforms and containerization. Be ready to provide examples of how you've successfully implemented these technologies in past projects, as this is crucial for the role.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Solutions Architect (Americas)
Tipps für deine Bewerbung 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and qualifications required for the Solutions Architect position at Qdrant. Tailor your application to highlight relevant experience in databases, search engines, and machine learning.
Highlight Technical Skills: In your CV and cover letter, emphasize your programming skills, particularly in Python, and any experience with cloud platforms and containerization technologies like Docker and Kubernetes. This will demonstrate your technical expertise.
Showcase Client Collaboration Experience: Since the role involves engaging with clients, include examples of past experiences where you successfully collaborated with clients to understand their needs and deliver effective solutions. This will show your ability to act as a trusted advisor.
Prepare a Strong Cover Letter: Craft a compelling cover letter that not only outlines your qualifications but also expresses your enthusiasm for working with cutting-edge technology and contributing to open-source projects. Make sure to align your goals with Qdrant's mission.
Wie du dich auf ein Vorstellungsgespräch bei Qdrant vorbereitest
✨Understand Qdrant's Technology
Familiarize yourself with Qdrant's vector database and its applications in AI. Be prepared to discuss how you can leverage this technology to solve client challenges.
✨Showcase Your Technical Expertise
Highlight your experience with databases, search engines, and machine learning during the interview. Provide specific examples of past projects where you've successfully integrated similar technologies.
✨Prepare for Client Collaboration Scenarios
Think of examples where you've engaged with clients to understand their needs. Be ready to discuss how you would approach solution design and implementation based on their objectives.
✨Stay Updated on Industry Trends
Demonstrate your knowledge of the latest trends in vector search and machine learning. This will show your commitment to continuous learning and your ability to provide valuable insights to clients.
