SuperAnnotate is looking to solve enterprise clients' problems by providing cutting-edge data pipeline solutions for Machine Learning, LLM, and GenAI, helping them leverage AI to transform their businesses.
Requirements
- Strong background in Machine learning and Python.
- Experience driving highly technical pilots/POCs with enterprise customers.
- Ability to quickly learn, understand, and work with new emerging technologies, methodologies, and solutions in the Artificial Intelligence technology space.
- Experience building Machine learning solutions (e.g., data pipelines, AI systems, LLMs, MLOps, etc.).
Responsibilities
- Working with account executives, lead technical pre-sales efforts to identify customer pain points and demonstrate how SuperAnnotate solutions can achieve desired outcomes.
- Recommend integration strategies, enterprise architectures, and application infrastructure required to implement a complete solution using best practices on SuperAnnotate successfully.
- Drive pilots with enterprise clients, defining success metrics, and proving technical approval on SuperAnnotate integration and adoption across large organizations.
- Provide in-depth machine learning and data expertise to support the technical relationship with SuperAnnotate’s clients, including product and solution briefings and proof-of-concept work.
- Prioritize and ideate new solutions with product development impacting client adoption of SuperAnnotate.
- Demonstrate and prototype ML workflows using SuperAnnotate with clients worldwide.
- Articulate competitive differentiation to highlight SuperAnnotate strengths.
Other
- 5+ years of customer-facing experience.
- Experience in a solution or sales engineering environment.
- Great presentation skills.
- Outstanding English writing and verbal skills.
- Great communication skills.
