Qdrant is looking for a Senior Data Scientist to own and evolve its data infrastructure, focusing on the data warehouse, product analytics, and direct partnership with go-to-market (GTM) operations. The role aims to bridge Engineering, Product, Design, and revenue teams by ensuring clean, accessible, and actionable data flows from the data warehouse into GTM systems to drive measurable business impact.
Requirements
- 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.
- Maintain and optimize our centralized data warehouse (Snowflake), ensuring reliability, scalability, and data integrity across the business.
- Design and manage robust pipelines that capture and structure product usage data for downstream analysis and GTM use cases.
- Design and maintain data syncs from the warehouse into Salesforce, HubSpot, and other operational tools, supporting segmentation and automation.
- Build and maintain self-serve dashboards and custom reports in BI tool (Metabase) to empower stakeholders with accurate, timely insights.
- Design and maintain the underlying pipelines to ensure reliability and scale.
Responsibilities
- 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.
- Product Alerts: Help with customer facing in-product alerting and recommendations based telemetry indicators.
Other
- Strong understanding of GTM
- Strong understanding of PLG and PLS motions.
- Looking to take ownership with strong builder mentality
- Competitive salary and remote-friendly work environment.
