Technical Program Manager II - AI Research

Ursus, Inc.
  • Menlo Park, CA
  • $80.65–$96.77 Per Hour
  • Quick Apply
2 days ago

Job Description

JOB TITLE: Technical Program Manager II - AI Research
LOCATION: Menlo Park, CA (Hybrid; 3 days in office/week). Also open to Bay Area/San Francisco, CA.
DURATION: 12 Months
PAY RANGE: $80 - $96/hr.

TOP 3 SKILLS:
  • Minimum of 5 years of experience in Technical Program Management and compliance reviews at a technology company - Big Tech and front-tier AI companies.
  • Proficiency in Google Apps, Microsoft Office, web browsers, and AI productivity tools, with advanced skills in Google Sheets/Excel for data annotation; AI Compliance experience is required.
  • Background in Privacy and Compliance Reviews, (Generative) AI, Data Analytics, Data Annotations, or Risk Management; PMI or PMP certification preferred.

Company:
Our client is a Fortune 500 multinational technology company headquartered in Menlo Park, CA.

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 close 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 a 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 advanced skills in Google Sheets/Excel for data annotation and analysis.

Must-Have Hard Skills:
  • Experience: Minimum of 5 years of experience in Technical Program Management and compliance reviews at a technology company - Big tech and front-tier AI companies
  • 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
  • AI Compliance: AI Compliance experience is required

Good to Have Skills:
  • 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 Meta employees are ideal
  • Data collection annotation experience is 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.

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.


BENEFITS SUMMARY: Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate or annual salary only, unless otherwise stated. In addition to base compensation, full-time roles are eligible for Medical, Dental, Vision, Commuter and 401K benefits with company matching.

IND123

Numbers & Facts

LocationMenlo Park, CA
Salary$80.65–$96.77 Per Hour

Skills

  • Analysis Skillsunmatched
  • Artificial Intelligence (AI)unmatched
  • Artificial Intelligence (AI) Agentsunmatched
  • Best Practicesunmatched
  • Business Administrationunmatched
  • Cataloguingunmatched
  • Communication Skillsunmatched
  • Computer Engineeringunmatched
  • Computer Scienceunmatched
  • Continuous Improvementunmatched
  • Data Analysisunmatched
  • Data Collectionunmatched
  • Detail Orientedunmatched
  • Fortune 500 Customersunmatched
  • Google Appsunmatched
  • Machine Toolunmatched
  • Microsoft Officeunmatched
  • Presentation/Verbal Skillsunmatched
  • Problem Solving Skillsunmatched
  • Process Improvementunmatched
  • Project Management Professional (PMP)unmatched
  • Project/Program Managementunmatched
  • Query Analysisunmatched
  • Requirements Managementunmatched
  • Risk Managementunmatched
  • Status Reportsunmatched
  • Technical Leadershipunmatched
  • Time Managementunmatched
  • Training Data Setsunmatched
  • Web Browsersunmatched
  • Writing Skillsunmatched

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