As an AI Product Specialist, you will be an important member in ensuring our existing and new AI solutions are properly tested and meet the high standards that our customers expect out of our OneStream solutions. Additionally, you will help generate documentation in the form of solution guides and how-to guides, along with building and maintaining information management processes that are pivotal to ensuring our end users can get the most out of our AI capabilities.
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The AI Product and Engineering team is focused on bridging the gap between AI research and AI products, bringing tangible and quantifiable value to our end users. Our AI solutions incorporate AI and machine learning spectrum, including (but not limited to) time series forecasting, anomaly detection, and natural language processing. Our mission is to lower the barrier for organizations and people to get value out of AI capabilities.
Primary Duties and Responsibilities
- Thoroughly test new and existing AI solutions and log bugs and issues in our software issue management system so that developers may properly correct the issues found.
- Troubleshoot and debug issues collaboratively with other Product Specialists, AI Solution Developers, and Solution Consultants.
- Participate in daily standups to cover the status of a product release cycle.
- Participate in on call rotation.
- Suggest product enhancements that can improve the overall user experience of our AI solutions.
- Communicate with our internal consulting team to understand how the products are used in practice to inform future test strategies.
- Contribute to existing solution guides, how-to guides, and other customer-facing documentation.
- Contribute to the refinement of existing documentation management procedures
- Contribute to the creation of test plans for new solutions.
- Train new team members in how to fulfill the role of a product specialist.
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Required Education and Experience
- Bachelors Degree or similar work experience.
- Experience with AI tools and frameworks.
- Knowledge of machine learning algorithms, data analysis and programming.
- Experience working in a cross-functional team.
Preferred Education and Experience
- Experience with coding.
- Experience working with a development team.