Senior Product Marketing Manager, Qdrant
Open-source vector search engine for AI
Be an early applicant
Open-source vector search engine for AI
21-100 employees
Be an early applicant
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
- 5+ years of product marketing experience targeted at a technical audience
- 4+ years of experience in product marketing within the B2B SaaS industry
- Strong technical background and/or experience in positioning databases, search engines, and/or vector search technology
- Strong content writing and content marketing experience
- Experience as a data scientist or software engineer is a plus
- Experience in sales enablement is a plus
- Independent and motivated by new challenges
- Data-driven and detail-oriented
What the job involves
- In this role, you will be a key driver in positioning and promoting our products, focusing on creating compelling messaging and go-to-market strategies.
- Your responsibilities include independently developing and executing innovative product marketing tactics and campaigns across various channels, refining the product's value proposition through continuous iteration, and enabling the sales team with the necessary resources, content, and collateral for success.
- Additionally, you will champion customer advocacy by developing case studies and testimonials to showcase the value of our products
- Lead the development of a robust product marketing function, driving strategic product positioning and maximizing adoption across key customer profiles
- Craft clear, compelling value propositions and positioning strategies that resonate with users at every stage of their journey, ensuring consistent messaging and engagement
- Create and execute tailored product marketing strategies for both Sales-led and Product-Led Growth (PLG) motions, positioning Qdrant as the go-to solution in the vector database space
- Develop a suite of high-impact content, collateral materials, and resources that empower the GTM team to effectively drive product adoption, user engagement, and market success
- Collaborate closely with GTM, product, and engineering teams to ensure cohesive positioning, strategic alignment, and clear communication of priorities
- Conduct in-depth market analysis to uncover key differentiators, enabling the development of messaging that clearly sets Qdrant apart from alternatives
- Produce detailed case studies and success stories that highlight the real-world impact and key features of Qdrant’s products
- Partner with product and sales teams to perform rigorous customer and market research, ensuring that marketing strategies are deeply informed by user needs and market trends
- Provide the GTM team with comprehensive training and resources, ensuring they are fully prepared to effectively sell and promote Qdrant’s offerings
- Craft blog posts featuring specific concepts or features of Qdrant to increase visibility of the full breadth of Qdrant’s capabilities
- Constantly identify opportunities to better position our products and features across our web properties
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.
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