Sr Search Engineer
Sr Search Engineer
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Job Description
Qdrant is a leading technology company specializing in the development of advanced Vector Database solutions. Our mission is to empower businesses to unlock the full potential of highdimensional data through efficient and scalable vector similarity search technologies. By pushing the boundaries of data search and retrieval we enable our clients to innovate and excel in a datadriven world.
Tasks
We are seeking an experienced and dynamic Senior Search Engineer to join our team. In this role you will focus on consulting with customers to understand their search and data needs providing expert guidance on integrating Qdrants Vector Database into their systems and supporting presales activities. You will play a critical role in bridging the gap between our technology and customer requirements ensuring successful adoption and satisfaction.
Engage with customers to understand their technical requirements data infrastructure and business objectives.
Provide expert advice on how Qdrants Vector Database can address their specific challenges and enhance their capabilities.
Develop customized solutions and proofofconcepts to demonstrate the value of our technology.
Collaborate with the sales team to identify customer needs and tailor presentations accordingly.
Conduct technical presentations demos and workshops for potential clients.
Assist in preparing technical proposals RFP responses and solution architectures.
Stay uptodate with the latest developments in vector search machine learning and database technologies.
Contribute to the development of best practices and technical resources for internal and external use.
Provide feedback to the product team on customer needs and market trends to inform product roadmap decisions.
Integration & Implementation:
Guide customers through the integration process of Qdrants Vector Database into their existing systems.
Assist with troubleshooting and resolving technical issues during implementation.
Ensure a smooth transition from presales to postsales support.
Relationship Building:
Build and maintain strong relationships with key customer stakeholders.
Act as a trusted advisor ensuring longterm customer satisfaction and loyalty.
Identify opportunities for upselling and crossselling based on customer needs.
Requirements
- Minimum of 5 years of experience in search technologies databases or related fields.
- Proven experience in a customerfacing technical role such as presales engineer solutions architect or consultant.
- Deep understanding of search technologies vector databases and similarity search algorithms.
- Proficiency in programming languages such as Python.
- Experience with machine learning frameworks (e.g. TensorFlow PyTorch) and handling highdimensional data.
- Familiarity with cloud platforms (AWS Azure GCP) and containerization technologies (Docker Kubernetes).
- Knowledge of data structures indexing methods and performance optimization techniques.
- Excellent communication and presentation skills with the ability to articulate complex technical concepts to diverse audiences.
- Customercentric mindset with a passion for helping clients succeed.
- Ability to work collaboratively with crossfunctional teams.
Benefits
- Opportunity to work with cuttingedge opensource 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 vector database revolution.
Full remote position for candidated based in European or US timezones.
Employment Type
Full Time
