Senior Technical Program Manager

Drive community strategy and technical programming Translate emerging technical themes and practitioner needs into a heartbeat of compelling community events and gatherings, conference sessions, and other learning opportunities throughout the year. Develop varied and innovative year-round programming that connects practitioners with relevant technical expertise, emerging work, and opportunities to learn and contribute. Build relationships across research, engineering, applied science, data science, and product teams to recruit speakers, reviewers, volunteers, and contributors from the community, and to partner with other internal programs also focused on AI learning and knowledge. Ensure that high-value knowledge IP and technical resources are organized and discoverable so learning extends beyond individual events. Establish repeatable documentation and program practices that support continuity and reduce dependence on individual organizers. Manage communications, stakeholders, and program health Coordinate program communications including calls for content, registration, speaker communications, community updates, and sponsor reporting. Bachelor's Degree AND 4+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience. 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 managing cross-functional and/or cross-team projects. 1+ year(s) of experience reading and/or writing code (e.g., sample documentation, product demos). Hands-on experience in software engineering, machine learning, AI engineering, data science, applied science, or applied AI, with the technical depth to engage credibly with researchers and engineers. Experience evaluating AI/ML technologies, research, technical proposals, or applied systems and assessing their technical quality, novelty, and practical relevance. Experience building, deploying, evaluating, or operating software, data, or AI/ML systems. Experience reading and/or writing code and familiarity with modern software engineering and AI/ML development practices. Proven experience leading complex technical programs involving multiple engineering, research, or product teams. Experience collaborating across research, engineering, applied science, data science, and product organizations. Demonstrated thought leadership through engineering contributions, technical publications, conference presentations, open-source contributions, research, or technical community leadership. Strong written and verbal communication skills, including the ability to translate complex technical concepts for audiences ranging from hands-on practitioners to senior technical leaders. Familiarity with emerging areas such as agentic systems, model evaluation, inference optimization, multimodal systems, responsible AI, AI infrastructure, or developer tooling.