Technical Program Management

Analysis of Customer and Business Needs 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. 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.