Business Development Representative, Qdrant
Europe, US Central or East
Open-source vector search engine for AI
Job no longer available
Open-source vector search engine for AI
21-100 employees
Job no longer available
21-100 employees
Company mission
Qdrant's mission is to empower businesses to build and deploy semantic neural search on your data in minutes.
Role
Who you are
- Bachelor’s degree in Business, Marketing, or a related field
- 1-2 years of experience in a sales or business development role, preferably in a startup or tech environment
- Familiarity with automation tools and CRM systems (e.g., HubSpot (preferred), Salesforce)
- Strong communication and interpersonal skills
- Ability to experiment with and adapt messaging based on data and feedback
- Self-motivated with a strong desire to learn and grow
- Experience or familiarity with PLG (Product-Led Growth) strategies is a plus
What the job involves
- Utilize Automation Tools: Leverage automation to reach out to potential clients, manage follow-ups, and maintain relationships
- Book of Business Management: Nurture and manage a portfolio of startup and midmarket accounts to drive sales growth
- Messaging Experimentation: Experiment with different messaging strategies to determine what resonates with various personas
- Inbound Qualification: Manage the qualification and nurturing of inbound leads to ensure they are ready for the sales team
- Pipeline Generation: Manage the qualification and nurturing of prospects who meet our Ideal Customer Profile (ICP) to build pipeline for the sales team
- Customer Profiling and Feedback: Help shape our Ideal Customer Profiles (ICPs) and gather feedback to inform product development
- Collaboration with Growth Marketing: Partner with the Growth Marketing team to align on strategies and optimize outreach efforts
- Familiarity with PLG (Product-Led Growth): Understand and leverage PLG strategies to drive user adoption and growth
Our take
In many cases, documents may have too few keywords, or queries might be too large for the usual full-text search to provide the desired result. In such cases, the search either finds no intersections or returns a lot of irrelevant results. Qdrant is setting out to solve this problem with a neural network-based semantic search which can be used stand-alone or in conjunction with traditional search.
Qdrant utilizes applied AI and metric learning to provide users with an open-source neural search engine. This engine has proven popular with businesses looking to turn their unstructured data into an asset. The possible applications of this technology greatly vary, from product recommendations in e-commerce to image recognition and analysis of anomalies.
The trust and capital that leading investors have placed in Qdrant will allow it to develop and scale its technology further, with a focus on enterprise solutions. This will be invaluable to the company in continuing to innovate and increase their consumer base.
Freddie
Company Specialist
Insights
Few candidates hear
back within 2 weeks
Company
Funding (last 2 of 3 rounds)
Jan 2024
$28.4m
SERIES A
Apr 2023
$8.3m
SEED
Total funding: $39m
Company benefits
- Working in a passionate international team
- Flexible working hours
- Company events
- Choose any hardware
- Remote/home office possible
- Relocation and visa support (EU Blue Card)
- A collaborative and supportive work environment with opportunities for growth and advancement
- The chance to make a significant impact on an innovative technology with the potential to reshape industries
Company HQ
Prenzlauer Berg, Berlin, BE
Articles
Leadership
Andre Zayarni
(CEO)Previously created JobBot-me, and served as CPO and CTO of MoBerries GmbH.
Andrey Vasnetsov
(CTO)Previously worked as a Machine Learning Engineer as Tinkoff.ru, and was Lead Data Scientist at MoBerries.
Share this job
View 2 more jobs at Qdrant