---
title: 'Growth Lead at HUD'
canonical: 'https://feeny.ai/job/growth-lead-hud-san-francisco-3b9g4js2kfn7'
type: 'job'
last_seen: '2026-09-08'
---

# Growth Lead at HUD

- **Company:** HUD
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-07-02
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.ashbyhq.com/hud/ded4c04f-36a7-494f-b5a0-d4e8ffcb3e04

## 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 hiring a Growth Lead to help HUD meet the right people and evangelize our vision. This is the most unique role at HUD as “right people” could mean

- Candidates for hiring, the initial focus of this role
- AI engineers and researchers at events
- Key people at other AI companies and the broader AI ecosystem

This role isn’t growth in the traditional GTM sense - though it could become that if you develop a large rolodex and enjoy sales. Where this role leads really depends on you!

## RESPONSIBILITIES

- Telling HUD’s story and getting people excited about our vision through worldbuilding
- Finding, connecting, and meeting with candidates, AI engineers and researchers, and other key people in the AI ecosystem
- Define our culture and values, then screen candidates and develop an onboarding process for new hires based on them
- Work with the Chief of Staff to own end-to-end recruiting, including building and optimizing the systems (recruiting ops and tooling, automated workflows, etc.)
- Work with the Marketing & Events Lead to host community events, represent HUD at industry events, and create content
- Work with the GTM Engineers to find intros or connection pathways into high-priority leads

## EXPERIENCE

You may be a good fit if you have:

- Genuine excitement about frontier models and telling HUD’s story - explain your interest in detail under “Why are you interested in working at HUD?”
- Experience finding and connecting with people in any context (e.g., recruiting or GTM)
- Strong soft skills - well-spoken, probably extraverted, and good at reading people
- Desire to learn recruiting, marketing and events, GTM, or any other function that could evolve from this role
- Early-stage startup experience with ability to work independently in fast-paced environments

Strong candidates may also have:

- Strong network within the RL researcher, RL engineer, and broader startup communities
- A clear point of view on how great technical companies tell stories
- Experience in recruiting, community, or content roles in startups
- Evidence that you can understand technical products well enough to explain them simply and accurately
- A standout portfolio of writing that showcases your ability

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: ~15 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 high revenue growth. We’re scaling profitably and quickly to meet very strong demand.

## LOGISTICS

- Employment: Full-time preferred, open to fractional for exceptional candidates.
- Location: On-site in the San Francisco Bay Area.
- Visa Sponsorship: We provide support for relocation and visas for strong full-time candidates to the US.
- Timeline: Applications are rolling. The process is 2 technical interviews and a 2-3 day work trial.

## WHAT WE OFFER

- Competitive compensation based on experience and location
- 100% covered top-of-the-line medical, dental, and vision from Blue Shield of CA
- Lunch and dinner when you’re in the office
- 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
- 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

- [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
- [Lead Research Engineer, Data Quality](https://feeny.ai/job/lead-research-engineer-data-quality-hud-san-francisco-394mwe6veyfg) — San Francisco, CA
- [Research Engineer, Synthetic Data](https://feeny.ai/job/research-engineer-synthetic-data-hud-san-francisco-nr8xjzh0398z) — San Francisco, CA
- [Research Engineer, Benchmarks](https://feeny.ai/job/research-engineer-benchmarks-hud-san-francisco-wjf8abeym8d7) — San Francisco, CA
- [Research Engineer, QC Automation](https://feeny.ai/job/research-engineer-qc-automation-hud-san-francisco-w32xstbv187y) — San Francisco, CA
- [Forward Deployed Research Engineer](https://feeny.ai/job/forward-deployed-research-engineer-hud-san-francisco-t766zptzg625) — San Francisco, CA
- [Recruiter](https://feeny.ai/job/recruiter-hud-san-francisco-xw2dz4wpr8ty) — San Francisco, CA
- [GTM Engineer](https://feeny.ai/job/gtm-engineer-hud-san-francisco-d7nyzfj2e34w) — San Francisco, CA
- [Platform Engineer](https://feeny.ai/job/platform-engineer-hud-san-francisco-6xxa9scc9mqb) — San Francisco, CA