Clay
Software Engineer, Data Products & Platform
About this role
Clay is seeking a Software Engineer for its Data Products & Platform team to build and maintain a comprehensive, constantly-updating map of companies and people that customers use for search, enrichment, and audience building. You'll resolve conflicting data sources into reliable information at scale and develop new data products based on customer needs.
What you'll do
- Evaluate data sources, resolve conflicts, and model entities and relationships for reliable customer use
- Design and prototype new data products starting from customer problems through product launch
- Build shared infrastructure and systems that accelerate future data product development
- Handle entity resolution and data quality at scale where manual verification isn't feasible
- Develop search and enrichment capabilities for company and people data
- Iterate on data models based on real customer usage and feedback
What they're looking for
- Data engineering and pipeline design
- Entity resolution and data deduplication
- Distributed systems and large-scale data processing
- Database design and optimization
- Python or similar backend languages
- SQL and data modeling
- API design and integration
- Product thinking and customer empathy
Benefits
- Work directly on customer-facing data products with immediate impact to thousands of users
- Access to world-class coaching in creativity and management
- Part of a well-funded ($100M+ Series C) and rapidly growing company
- Unique company culture emphasizing creativity and personal interests
- Opportunity to shape the future of data products and infrastructure
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Clay
Clay builds go-to-market and developer experience infrastructure, including automation workflows, sales tools, and web experiences that help teams acquire customers and improve efficiency. The company is hiring GTM Engineers to build internal systems and automations, Web Developers to create conversion-focused experiences, and Software Engineers to improve developer tooling and AI integration.
View all jobs at ClayLikely interview questions
- How would you approach resolving conflicting information about the same entity from multiple data sources?
- Describe a time you built infrastructure that made future feature development faster. How did you measure success?