---
title: 'Technical Program Manager at HUD'
canonical: 'https://feeny.ai/job/technical-program-manager-hud-san-francisco-4wcgh8x0qjpt'
type: 'job'
last_seen: '2026-09-22'
---

# Technical Program Manager at HUD

- **Company:** HUD
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-09-16
- **Last confirmed live:** 2026-09-22
- **Apply:** https://jobs.ashbyhq.com/hud/c2eb7d95-e69c-41c2-8e22-7f55a2ee2057

## Job description

## About HUD

[HUD](https://www.hud.ai/) is building infrastructure to create RL training data and evals for frontier AI agents, as well as a marketplace to sell these to frontier labs through the HUD marketplace. Our platform is used by frontier labs, Fortune 500 companies, and startups. We’ve raised $16M from top VCs and were YC W25.

## About the role

We’re looking for a Technical Program Manager to own complex, time-sensitive data and evaluation programs for frontier AI labs, data vendors, and internal teams. You’ll turn ambiguous technical asks into executable programs, coordinate the people and dependencies required to deliver them, and ensure the resulting data is genuinely useful for evaluating and improving LLMs and agents. You’ll also manage vendors and build the processes, tooling, and operating rhythms that allow HUD to deliver reliably at increasing scale.

## 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, acceptance criteria, etc.
- Maintain and improve data quality procedures using both quantitative signals and qualitative inspection, including analyzing task coverage, difficulty, reward distributions, etc.
- Maintain and improve delivery pipelines at scale, which includes 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, marketplace teams to translate learnings and feedback into product improvements

## Experience

You may be a good fit if you have:

- 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—you can move between aggregate metrics and individual examples to determine whether a dataset or evaluation is useful, reliable, and representative
- Experience maintaining and improving complex processes, especially within project delivery or data contexts
- Demonstrated ability to bring structure to ambiguous problems, maintain momentum as requirements change, and make sound tradeoffs without waiting for a perfect specification
- Strong written and verbal communication skills, including the ability to turn messy technical information into clear decisions, owners, and next steps

Strong candidates may also:

- 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 ability to work independently in fast-paced environments

We prioritize technical aptitude and learning potential over years of experience. Motivated candidates are encouraged to apply even if they don't meet all criteria.

## Team & company details

- Team Size: ~25 people currently, mostly full-time in-person, but some remote.
- Our team: Our team includes 4 International Olympiad medalists (IOI, ILO, IPhO), serial AI startup founders, and researchers with publications at ICLR, NeurIPS, etc.
- Company stage: We have 8 figures in funding and are scaling profitably and quickly to meet very strong demand.

Logistics

- Employment: Full-time.
- Location: We have offices in San Francisco or Singapore but are open to remote candidates who can work hours that 70-80% overlap with either San Francisco or Singapore time zones.
- Visa Sponsorship: We provide support for relocation and visas for strong full-time candidates to the US or Singapore.
- Timeline: Applications are rolling. The process is 2 technical interviews and a 2-3 day work trial.

## What we offer

- Competitive compensation
- 100% covered top-of-the-line medical, dental, and vision from Blue Shield of CA (US employees)
- Lunch and dinner when you’re in the office (in-office employees)
- Company-wide holiday break (Christmas Eve to New Year’s Day) on top of PTO and paid holidays
- Other perks including an Equinox membership, 401k, and commuter benefits (US employees)
- Unlimited* access to tokens for ChatGPT, Claude Code, Cursor, etc. *By unlimited, we mean no one on our token usage leaderboard has ever hit a limit. So we have no idea what the limit is.

Due to high volume, we may not actively respond to every application, but feel free to contact us at recruiting@hud.so or elsewhere if we missed your application!

## About HUD

## Company Overview
- **One-liner**: HUD (Human Union Data, Inc.) provides the first comprehensive evaluation platform for Computer Use Agents (CUAs), enabling frontier AI labs to build reinforcement learning environments and run detailed evals for AI agents that browse the web.
- **Entity Type**: Private (YC W25 startup; raised $500K in Pre-Seed funding led by Y Combinator)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2025
- **Founders**: Jay Ram (CEO), Parth Patel (CTO)

## Core Business
- **Primary industry**: AI infrastructure – evaluation and reinforcement learning environments for browser‑based AI agents.
- **Target customers**: Frontier AI labs (B2B), researchers building computer‑use and browser‑use agents.
- **Mission / Purpose**: Provide the infrastructure to make AI agents work reliably in the real world by enabling detailed evals across thousands of tasks.

## Products & Services
- **[CUA Evals Platform](https://www.hud.so/)**: An all‑in‑one platform for evaluating computer‑use and browser‑use AI agents. Supports 40+ models (GPT, Kimi, Qwen, etc.) and includes hundreds of environments and thousands of tasks. Used to generate both evaluation results and training data for reinforcement learning.

## Market Standing
- **Valuation**: $3.3M (most recently disclosed, per Latka, Sep 2025)
- **Key Metric**: $1.1M revenue (2025) – note: Latka reports the company as bootstrapped, but other sources (YC, LinkedIn) show $500K in outside funding; this may reflect different accounting or a conflict in data.
- **Total Funding**: $500,000 (Pre-Seed, led by Y Combinator, with participation from several angel investors)
- **Notable Investors / Partners**: Y Combinator (lead), backed by YC W25 batch; works closely with frontier AI labs.
- **Growth Signals**:
  - Headcount grew ~150% YoY (from ~4 to ~9–15 employees).
  - Launched public beta in March 2026.
  - Active job postings increased 66.7% month‑over‑month.
  - Strong social engagement: LinkedIn followers grew 448.9% yearly.

## Competitive Advantages
- First‑mover in a nascent category: HUD’s platform is described as the first comprehensive evaluation tool specifically for Computer Use Agents.
- Tight integration with Y Combinator and frontier AI labs provides direct feedback and early‑adopter relationships.
- Supports a wide range of models (40+) and can generate RL training data, not just eval results.

## Strategic Focus
- Scale the platform to serve more frontier labs and researchers.
- Expand the number of environments and tasks covered by evaluations.
- Continue building out reinforcement learning infrastructure for agentic AI.

## Why Work Here
- **Culture**: Small, ambitious team (≈15 people) backed by Y Combinator, focused on solving a cutting‑edge problem in AI reliability.
- **Work Policy**: In‑office / in‑person in San Francisco (HQ). Some roles listed as hybrid.
- **Notable Perks**:
  - Competitive salary ranges (e.g., Platform Engineer: $140K – $250K; other roles $70K – $120K).
  - Opportunity to shape the infrastructure that leading AI labs depend on.
  - Fast‑paced startup environment with high ownership.

## Sources
1. [Y Combinator – HUD](https://www.ycombinator.com/companies/hud)
2. [LinkedIn – HUD](https://www.linkedin.com/company/hud-evals)
3. [Built In San Francisco – HUD](https://www.builtinsf.com/company/hud)
4. [Latka – HUD](https://getlatka.com/companies/www.hud.so)
5. [Hud Careers Page](https://jobs.ashbyhq.com/hud)

## Other roles at HUD

- [Research Engineer, Privacy and Anonymization](https://feeny.ai/job/research-engineer-privacy-and-anonymization-hud-san-francisco-nccv7yt62y8x) — San Francisco, CA
- [Senior Software Engineer, Infrastructure](https://feeny.ai/job/senior-software-engineer-infrastructure-hud-san-francisco-xjf57yf2gmv0) — San Francisco, CA
- [Open Role](https://feeny.ai/job/open-role-hud-san-francisco-tq52w3ef14qe) — San Francisco, CA
- [Senior Security Engineer](https://feeny.ai/job/senior-security-engineer-hud-san-francisco-ped7mf15dzhf) — San Francisco, CA
- [Legal Operations Lead](https://feeny.ai/job/legal-operations-lead-hud-san-francisco-r3g81avd0wqm) — San Francisco, CA
- [Full-Stack Software Engineer, Reinforcement Learning](https://feeny.ai/job/full-stack-software-engineer-reinforcement-learning-hud-san-francisco-j072pqy2sdyd) — San Francisco, CA
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