Senior Data Analyst, Qdrant
Go To Market
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
- The ideal candidate thrives at the intersection of engineering, analytics, and business strategy, and can drive measurable business impact through data
- 5+ years of experience in data science, analytics engineering, or a similar role
- Strong understanding of PLG and PLS motions
- Deep proficiency in SQL and experience working with modern data stacks (dbt, Snowflake, Segment, etc.)
- Demonstrated ability to work cross-functionally with GTM teams and translate business needs into scalable data solutions
- Looking to take ownership with strong builder mentality
- Experience with Snowflake, Metabase, Segment, HubSpot, Salesforce, Mixpanel
What the job involves
- We’re looking for a our first Senior Data Scientist with a strong engineering focus and strategic understanding of GTM to own and evolve our data infrastructure with a specific focus on the data warehouse, product analytics, and direct partnership with go-to-market (GTM) operation
- This role will serve as a key bridge between Engineering, Product, Design and revenue teams, owning product analytics and ensuring that clean, accessible, and actionable data flows seamlessly from the data warehouse into our GTM systems
- Own the Data Warehouse: Maintain and optimize our centralized data warehouse (Snowflake), ensuring reliability, scalability, and data integrity across the business
- Product Data Infrastructure: Design and manage robust pipelines that capture and structure product usage data for downstream analysis and GTM use cases
- GTM System Enablement: Partner with GTM Operations to design and maintain data syncs from the warehouse into Salesforce, HubSpot, and other operational tools, supporting segmentation and automation
- Reporting & Dashboards: Build and maintain self-serve dashboards and custom reports in BI tool (Metabase) to empower stakeholders with accurate, timely insights
- Drive Analytics Across PLG and PQL Motions: Build visibility into activation journeys, usage health, key product signals, and retention metrics to identify product-qualified leads, inform growth strategies, improve user adoption, and strengthen long-term engagement. This requires a data scientist who can not only analyze and model the data but also design and maintain the underlying pipelines to ensure reliability and scale
- Cross-functional Collaboration: Partner closely with Product, Engineering, Sales, Marketing, and GTM Operations to understand data needs and deliver reliable solutions
- Data Governance & Quality: Implement best practices in data validation, documentation, and source-of-truth definition
- Product Alerts: Help with customer facing in-product alerting and recommendations based telemetry indicators
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 and expanding its business team. This will be invaluable to the company as it continues to innovate and increase its consumer base.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 3 rounds)
Jan 2024
$30.1m
SERIES A
Apr 2023
$8.8m
SEED
Total funding: $41.2m
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
Leadership
Andre Zayarni
(CEO & Co-Founder)Previously created JobBot-me, and served as CPO and CTO of MoBerries GmbH.
Andrey Vasnetsov
(CTO & Co-Founder)Previously worked as a Machine Learning Engineer as Tinkoff.ru, and was Lead Data Scientist at MoBerries.
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