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Technical Program Manager – AI Research

  • Source: LinkedIn
  • Tailored Management
  • On-site
  • New York City
  • Senior

Job Description

Technical Program Manager – AI Research

Location: New York, NY — Hybrid, 3 days onsite preferred

Contract: 12 Months - W2

Bill Rate: $95 – $100/hour

Note: This is a W-2-only position. We do not offer visa sponsorship and cannot accept H-1B, F-1/STEM OPT, 1099, C2C, or C2H arrangements.

About the Role

We are seeking a Technical Program Manager – AI Research to support business-critical programs within an advanced AI research environment. This role will focus on AI compliance and review processes , helping research and engineering teams navigate requirements, approvals, risks, and dependencies needed to initiate and ship projects.

The ideal candidate brings 5+ years of Technical Program Management experience within a technology company , with direct experience in AI, privacy/compliance reviews, data annotation, risk management, or research operations . This person should be highly organized, comfortable operating in ambiguity, and able to influence cross-functional stakeholders without direct authority.

What You’ll Do

  • Own AI Research Programs: Lead multiple concurrent compliance and review initiatives supporting frontier AI research, from requirements definition through approval and project launch.
  • Drive Execution: Draft requirements, track daily progress, manage action items, identify dependencies, and proactively remove blockers to keep milestones on schedule.
  • Coordinate Compliance Reviews: Partner with research, engineering, requesters, reviewers, and privacy stakeholders to clarify requirements and navigate approval workflows.
  • Optimize Processes: Identify opportunities to streamline review and approval stages, document best practices, and improve operational efficiency across AI research workflows.
  • Manage Stakeholders: Establish clear communication channels across technical and non-technical teams, build consensus, and maintain visibility into project status and dependencies.
  • Report Program Health: Prepare recurring status reports covering milestones, accomplishments, risks, blockers, dependencies, and insights into the review process.
  • Manage Risk: Identify potential compliance, operational, and timeline risks early; develop mitigation strategies and escalate issues when appropriate.
  • Catalog & Analyze AI Assets: Research, catalog, annotate, and organize AI Research assets with a high degree of accuracy and attention to detail.
  • Analyze Data: Use Google Sheets/Excel and related tools to perform data exploration, ad-hoc analysis, tracking, and workflow optimization.
  • Stay Current on AI: Maintain awareness of developments in Generative AI, AI research tooling, data workflows, and AI governance/compliance to improve program execution.

Required Qualifications

  • 5+ years of Technical Program Management experience within a technology company.
  • Direct experience with AI compliance, privacy/compliance reviews, or AI-related program operations is required .
  • Experience working in Big Tech, frontier AI, or similarly complex technology environments strongly preferred.
  • Demonstrated experience managing multiple concurrent technical programs, review processes, or complex operational workflows .
  • Strong stakeholder management skills with the ability to influence, negotiate, communicate, and build consensus across engineering, research, privacy, and business teams.
  • Excellent written and verbal communication skills, including experience producing executive-ready status reports and program updates .
  • Ability to operate independently, prioritize competing demands, and make progress in ambiguous and rapidly changing environments .
  • Strong analytical and problem-solving skills with exceptional attention to detail.
  • Advanced proficiency with Google Sheets/Excel , including data analysis, annotation, tracking, and workflow management.
  • Proficiency with Google Workspace, Microsoft Office, web browsers, and AI productivity tools .
  • Bachelor’s degree in Computer Science, Computer Engineering, or a related technical discipline .

Preferred Qualifications

  • Experience with Privacy, Compliance, AI Governance, Generative AI, Data Analytics, Data Annotation, Risk Management, or AI Research Operations .
  • Experience working with frontier AI research or large-scale technology organizations …

Skills

  • streamline
  • google-workspace
  • workspace
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