Solutions Engineer - Generative AI & SDV (Remote)

Datacebo; Town of Boston (NY); Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Equity options

Remote/on-site flexibility

Collaborative team culture

Job summary

DataCebo Inc. in the US is seeking a Solutions Engineer to help customers unlock the potential of the Synthetic Data Vault. You will guide deployments, support onboarding, and drive successful integrations across client environments.

The ideal candidate has 5+ years in data engineering or data science, strong communication, and a passion for solving technical challenges. This role offers remote or on-site work and equity options.

Qualifications

• Bachelor's degree in computer science, engineering, or a related field (Master's preferred).
• 5+ years in data engineering, data science, or a solutions engineering role.
• Customer-focused mindset with strong problem-solving abilities.
• Excellent communication and presentation skills for diverse audiences.
• Experience with multiple database systems and enterprise architectures.
• Ability to work independently and in a fast-changing startup environment.

Responsibilities

• Provide technical guidance and support throughout the customer journey, from onboarding through ongoing success.
• Lead customer implementation initiatives using SDV to create solutions for the customer.
• Lead customer engagement during proof-of-concept phases and guide deployment to accelerate adoption.
• Act as liaison between customers and product team, translating needs into actionable improvements.
• Create technical documentation and training materials to maximize product value for customers.

Skills

Data engineering

Data science

Customer-focused

Communication skills

Presentation skills

Team collaboration

Problem solving

Education

Bachelor's degree in CS/Engineering

Master's degree (plus)

Tools

SQL

NoSQL databases

Enterprise architectures

Job description

DataCebo Inc. in the US is seeking a Solutions Engineer to help customers unlock the potential of the Synthetic Data Vault. You will guide deployments, support onboarding, and drive successful integrations across client environments.

The ideal candidate has 5+ years in data engineering or data science, strong communication, and a passion for solving technical challenges. This role offers remote or on-site work and equity options.