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About the Role
HUD is seeking a Technical Program Manager to oversee complex data and evaluation programs for frontier AI labs, data vendors, and internal teams. This role involves transforming ambiguous technical requirements into actionable programs, coordinating resources, and ensuring the quality and utility of data for AI model evaluation and improvement. You will also manage vendors and develop processes and tools to support scalable and reliable delivery.
Responsibilities
- Own data and evaluation programs end-to-end, from initial scoping and requirements gathering through production, quality assurance, delivery, and retrospective.
- Translate ambiguous requests from AI labs and internal teams into clear specifications such as milestones, owners, dependencies, and acceptance criteria.
- Maintain and improve data quality procedures using quantitative signals and qualitative inspection, including analyzing task coverage, difficulty, and reward distributions.
- Maintain and improve delivery pipelines at scale, managing external vendors throughout the delivery lifecycle.
- Streamline the logistics behind data production and evaluation programs by improving workflows, documentation, automation, and cross-functional handoffs.
- Partner with research, platform, and marketplace teams to translate learnings and feedback into product improvements.
Requirements
- Experience owning complex technical programs in AI/ML, data operations, support engineering, applied research, forward-deployed engineering, or a similarly cross-functional environment.
- Strong quantitative and qualitative judgment about data, capable of assessing usefulness, reliability, and representativeness by analyzing aggregate metrics and individual examples.
- Experience maintaining and improving complex processes, particularly in project delivery or data contexts.
- Demonstrated ability to bring structure to ambiguous problems, maintain momentum amidst changing requirements, and make sound tradeoffs without waiting for perfect specifications.
- Strong written and verbal communication skills, with the ability to distill messy technical information into clear decisions, owners, and next steps.
- Experience with RLHF, reinforcement-learning environments, agent evaluations, human-in-the-loop data pipelines, annotation, or expert data collection.
- Experience supporting frontier AI labs, technical enterprise customers, or research teams with urgent and evolving requirements.
- Early-stage startup experience with the ability to work independently in fast-paced environments.
Skills
- AI/ML
- Data Operations
- Support Engineering
- Applied Research
- Forward-Deployed Engineering
- Quantitative Judgment
- Qualitative Judgment
- Process Improvement
- Project Delivery
- Data Contexts
- Problem Structuring
- Ambiguity Management
- Tradeoff Analysis
- Written Communication
- Verbal Communication
- RLHF
- Reinforcement Learning Environments
- Agent Evaluations
- Human-in-the-loop Data Pipelines
- Annotation
- Expert Data Collection
Location
- San Francisco
- Singapore
- Remote (with 70-80% overlap with SF or SG time zones)
Work Type
- Full-time
- Remote
Experience Level
- Technical aptitude and learning potential prioritized over years of experience.
Salary/Compensations
- Competitive compensation
Benefits
- 100% covered top-of-the-line medical, dental, and vision from Blue Shield of CA (US employees)
- Lunch and dinner when in the office (in-office employees)
- Company-wide holiday break (Christmas Eve to New Year’s Day) on top of PTO and paid holidays
- Equinox membership
- 401k
- Commuter benefits (US employees)
- Unlimited access to tokens for ChatGPT, Claude Code, Cursor, etc.
- Support for relocation and visas for strong full-time candidates to the US or Singapore
About the Company
- HUD is building infrastructure for RL training data and evaluations for frontier AI agents, and operates a marketplace to sell these to frontier labs.
- The platform is utilized by frontier labs, Fortune 500 companies, and startups.
- HUD has raised $16M from top VCs and was part of YC W25.
- The company has 8 figures in both funding and revenue, and is scaling profitably and quickly.
- The team consists of approximately 25 people, including International Olympiad medalists, serial AI startup founders, and researchers with publications at top AI conferences.