Onsite 3 days in MPK but Bay Area or San Francisco can be considered for the right candidate.

Technical Program Manager - Ai Research

• Education: Bachelor's degree in Computer Science, Computer Engineering, or a related technical field required. MBA or advanced degree preferred.

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 Responsibilities

• Project 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 AI
• Communication & 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 analysis.

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.
• Previous Client employees are ideal
• Data collection annotation experience is preferred