Related skills
machine learning data governance data quality information retrieval data catalog📋 Description
- Lead technical discovery conversations with customers on data, AI, and business challenges
- Design and deliver technical demos, workshops, and proof-of-concepts
- Translate customer requirements into Deasy Labs architectures
- Partner with Account Executives to support the sales cycle
- Guide customers to organize and enrich unstructured data for AI and analytics
- Serve as a trusted technical advisor throughout evaluation and adoption
🎯 Requirements
- 5+ years in a Customer Engineering, Solutions Engineering, or pre-sales role
- Familiarity with unstructured data, machine learning, or information retrieval
- Broad knowledge of data governance, data catalog, data quality, and data privacy; ROI analysis
- Broad Data Management experience in cataloging, integration, data quality, or enterprise architecture
- Experience with leading PaaS providers, Data Lakes, databases, and integration platforms
- Bachelor’s degree or equivalent; not eligible for visa sponsorship
🎁 Benefits
- Bonus potential
- Equity for eligible roles
- Flex Fund monthly stipend
- Pension/401k plans
- Health coverage
- Time off
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