Title: Technical Program Manager, AI Research
Location: Menlo Park, CA
Duration: 12 Months
Project 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.
Overall 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.
Mandatory Skills
- 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: 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.
Nice to Have Skills
- 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.
Compensation:
The estimated pay range for this position is USD $74.00/Hr - USD $89.00/Hr.
Exact compensation and offers of employment are dependent on circumstances of each case and will be determined based on job-related knowledge, skills, experience, licenses or certifications, and location.
Benefits:
We offer comprehensive benefit options which vary depending on role, location, and employment type. The Talent Acquisition Partner can share more details about compensation or benefits for the specific role during the hiring process.
Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation.