Technical Program Management

## About the role - Learns to identify opportunities and gaps within features or functional areas, leveraging AI tools where possible, and supports research and analysis of customer and industry trends. - Begins to build relationships within the product family and contributes to problem statements and hypotheses that address business and customer needs. - Supports experiments to test hypotheses and helps integrate data and tools to identify patterns, with guidance. - Supports relevant teams (e.g., Engineering, Design, Security) in designing solutions to technical needs for one or more features, contributing to design and requirements documents. - Contributes to defining success criteria and performance metrics (e.g., OKRs and KPIs) and partners with others to help ensure the necessary telemetry is developed. - Supports the monitoring of processes and helps hold stakeholders accountable, escalating when projects fall out of alignment with schedules or goals. - Assists in ensuring compliance with privacy, security, accessibility, quality, and other legal and business requirements. - Contributes to the customer supportability experience by helping produce documentation such as troubleshooting guidelines and best practices. - Develops an understanding of sales motions and the support needed across product training and enablement, and helps build out related content and programs. ## Requirements - Bachelor's Degree in Computer Science, Engineering, Information Technology, Data Science, or a related technical field. - Internship, co-op, capstone, or research experience in engineering, technical or product program management, data analysis, or software development. - Foundational experience reading and/or writing code (e.g., Python, SQL, sample documentation, or product demos). - Exposure to AI/ML concepts and modern AI tools, with curiosity about applying them to program management. - Foundational understanding of project management and the software/product development lifecycle. - Strong analytical and problem-solving skills, with the ability to work with data to inform decisions. - Excellent written and verbal communication skills, including the ability to explain technical concepts to non-technical audiences. - A growth mindset and comfort operating in a fast-paced, ambiguous environment.