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 1 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.
Position Overview:
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.
How to Apply:
Please submit your resume and a cover letter outlining your qualifications and why you are interested in joining DataCebo. Email your application to careers@datacebo.com
