Solutions Engineer
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Job Description
Solutions Engineer providing technical expertise for AI and data quality engagements. Driving customer success through independent pilots and collaboration with sales and engineering teams.
Responsibilities:
- Lead independent POV engagements with enterprise prospects, designing custom ontologies and configuring solutions within 3-5 day cycles
- Conduct technical discovery and present solutions to Data Engineers, Enterprise Architects, and AI/ML Engineers
- Support Account Executives throughout sales cycles with primary ownership during technical evaluation and POV phases
- Work directly with Engineering on technical challenges and custom implementations during POVs
- Continue engagement through deal closing and initial customer onboarding alongside Customer Success
- Support existing customer expansion opportunities as part of land-and-expand strategy
- Collaborate with Field CTO to build reusable ontology templates and POV best practices
Requirements:
- 7-10+ years in technical pre-sales, data engineering, solutions architecture, or similar customer-facing technical roles
- Strong expertise in data modeling, data platforms, and ETL/data pipelines
- Experience with knowledge graphs, ontologies, or semantic technologies strongly preferred
- Proficiency in scripting and automation (Python preferred)
- Hands-on experience with AI coding tools (Claude Code, Cursor, GitHub Copilot, etc.)
- Deep understanding of enterprise data platforms and cloud architectures (AWS, Azure, GCP)
- Proven track record in customer-facing technical roles with demonstrated sales impact
- Exceptional presentation and communication skills with technical and business audiences
- Bachelor's degree in Computer Science, Engineering, Data Science, or related field
- Experience in B2B SaaS, AI/ML, or data quality solutions preferred
Benefits:
- Competitive salary, equity, & benefits
- Realistic, clearly communicated expectations
- Team-wide aligned values and goals
- Comprehensive health and wellness packages
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