Technical Program Manager II

Job DescriptionJob DescriptionJob Role: Technical Program Manager II Location: Menlo Park, CA (Hybrid, 3 days onsite) Duration: 12 Months Role Overview: Oversee business-critical projects in the AI Research space, focusing on facilitating review and approval processes to initiate and ship projects. Requires operational excellence, stakeholder management, and the ability to navigate ambiguity across multiple concurrent initiatives. KEY RESPONSIBILITIESProject Ownership & Delivery: Lead multiple project compliance reviews for frontier research, draft requirements, monitor daily progress, manage action items, and proactively resolve blockers to keep milestones on schedule.Process & Review Optimization: Collaborate with requesters, engineering, research team and reviewers to clarify requirements, streamline approval stages, and coordinate with privacy stakeholders to document best practices.Stakeholder Communication: Maintain regular updates and transparency across teams; deliver weekly reports detailing project status, achievements, risks, and review process insights.Risk & Mitigation Management: Identify, mitigate, and escalate project risks early, particularly those impacting review timelines and key dependencies.Asset Cataloging & Analysis: Research, catalog, and annotate AI Research assets with high attention to detail. Utilize Google Sheets/Excel for data exploration and workflow optimization.Domain Awareness: Stay current on developments in the AI research landscape and tooling to continuously improve project outcomes. Required Skills & Qualifications:Experience: Minimum of 5 years of experience in Technical Program Management and compliance reviews at a technology company with focus on AICommunication & Influence: Exceptional verbal and written communication skills with proven ability to manage stakeholders, persuade, and build consensus.Execution & Autonomy: Strong ability to work independently, manage time effectively, solve complex problems, and thrive in ambiguous environments.Technical & Data Tools: Proficiency in Google Apps, Microsoft Office, web browsers, and AI productivity tools and with advanced skills in Google Sheets/Excel for data annotation and AI Compliance experience is required. Education & Certifications:Education: Bachelor's degree in Computer Science, Computer Engineering, or a related technical field required. MBA or advanced degree preferred.Certifications: PMI or PMP certification preferred. Preferred Experience:Background in Privacy and Compliance Reviews, (Generative) AI, Data Analytics, Data Annotations, or Risk Management.Hands-on experience running ad-hoc queries, analyzing data, and using AI agents and research tools.Data collection annotation experience is preferred