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
You missed this one - but you don't have to keep missing out. Try Club members get matched with open opportunities before they're gone, so you're always first in line, never last.
