Job Description
Breaks down documentation and learning initiatives into projects and ongoing operations, generating and evaluating objectives and measures of success, tracking and coordinating schedules, and using automation and AI to optimize delivery and manage dependencies across products and services. Partners with engineering, design, and other stakeholders to collect performance and usage metrics for quantum documentation and learning experiences, leveraging telemetry, customer listening systems, and experiments to derive insights that improve content effectiveness and developer outcomes. Defines success criteria, key performance indicators, and telemetry needs for documentation and learning programs; collaborates across teams to ensure required data is available and uses it to inform prioritization, risk management, and continuous improvement. Drives the customer supportability experience through high‑quality documentation, troubleshooting guides, and best practices, monitoring how content is used, conducting root‑cause analysis for learning or support gaps, and collaborating with support and product teams to improve the overall customer experience. Bachelor's Degree AND 4+ years experience in engineering, product/technical program management, data analysis, or product development 2+ years of experience managing cross-functional and/or cross-team projects. Experience working with AI-powered content creation and learning systems. Experience with developer platforms, cloud services, and AI. Bachelor's Degree AND 8+ years experience engineering, product/technical program management, data analysis, or product development OR equivalent experience. 6+ years of experience managing cross-functional and/or cross-team projects. 2+ years of experience reading and/or writing code (for example, creating sample code, technical documentation, or product demonstrations). Demonstrated familiarity with technical writing principles, frameworks, and methodologies. Demonstrated familiarity with quantum computing, including quantum chemistry, quantum error correction, quantum algorithms, and emerging real-world quantum computing applications.