Solutions Engineer

Solutions Engineer

DataCebo Inc. is a dynamic and innovative company specializing in the development, and commercialization of the Synthetic Data Vault (SDV). The SDV is a groundbreaking platform that empowers users to create their own generative AI models for tabular and structured data. SDV has already garnered over 15 million downloads, with thousands of users and boasts a thriving community of 1,000+ Slack members. SDV is rapidly gaining traction across various enterprise use cases, including software testing, scenario generation, and many more. We are a team of adventurous former MIT grads with past experience at YouTube, Palantir, Alteryx among others.

We are seeking a Solutions Engineer to join our growing team. This team member will play a vital role in helping our customers understand the potential of SDV and effectively integrate it into their workflows. This is a unique opportunity to join an early-stage startup and be at the forefront of a cutting-edge technology that is poised to disrupt the data industry.

Your Responsibilities:

• Provide technical guidance and support throughout the customer journey, from onboarding through ongoing success.
• Lead customer implementation initiatives, using SDV to create innovative solutions for the customer.
• Lead customer engagement during proof of concept phases, guiding the deployment of our product and identifying and resolving challenges to accelerate adoption.
• Act as a liaison between customers and our product development team, synthesizing observed patterns and requirements into actionable solutions that continually improve our product and establish strong market differentiation.
• Help create technical documentation and training materials that are clear, user-friendly, and effective in enabling customers to maximize the benefits of SDV.

Requirements

• Bachelor's degree in computer science, engineering, or a related field. (Master's degree is a plus.)
• 5+ years of professional experience in data engineering/infrastructure or data science, in a solutions engineering role.
• A customer-focused mindset and a passion for solving technical challenges.
• Strong foundational data engineering knowledge supported by hands-on experience.
• Proficiency working with diverse database systems and enterprise architectures.
• Skill at analyzing and synthesizing technical challenges, and enthusiasm for using those insights to suggest innovative solutions.
• Interest in scaling the adoption of new technologies within large organizations.
• Strong communication and presentation skills, with the ability to explain complex technical concepts clearly and engagingly
• Ability to work both independently and collaboratively, and comfort working in a dynamic and iterative environment with evolving objectives.

Why DataCebo:

• Join an early-stage startup at the forefront of AI-based synthetic data generation technology, where your contributions will have a direct impact on the company's growth and direction.
• Opportunity for significant career growth as we continue to expand and innovate in the rapidly evolving field of generative AI.
• Competitive compensation package with equity options.
• Flexibility to work remotely or on-site, depending on your location.
• Collaborative and supportive team culture focused on innovation and creativity.

If you are passionate about customer-focused engineering, and excited to be part of an early-stage startup that is redefining the data industry, we would love to hear from you.

Please submit your resume and a cover letter outlining your qualifications and why you are interested in joining DataCebo. Email your application to View email address on click.appcast.io