Customer Operations Lead

About HUD

HUD's mission is to build reliable, fair and open infrastructure for AI data. We want data to be valuable for the people who create it and trustworthy for the labs that train on it. Our team is a quickly growing group of researchers, engineers and operators building the economy that shapes what AI will become. Backed by $16M from top VCs and YC (W25), our marketplace and platform are used by startups, Fortune 500 companies and frontier labs.

About the role

We’re looking for a Customer Operations Lead to own the customer-facing work that cannot or should not be automated with AI. You’ll own the systems around successful customer activation and engagement as the implementation counterpart to our GTM Engineers.

Responsibilities

• Own the human-in-the-loop layer of HUD’s operations across our customers - data suppliers (vendors) and frontier labs and enterprises (buyers)

• Jump into customer conversations when a human touch is needed to build trust, clarify context, or move things forward

• Resolve contract, onboarding, and platform blockers by working with the right internal owners

• Turn recurring customer issues, feedback, and learnings into better processes, platform, and communications

• Build lightweight systems that streamline workflows or makes resolving problems easier the next time they occur

Experience

You may be a good fit if you have:

• Experience in customer operations, business operations, consulting, or similar roles

• Familiar with CRM tools, external vendor management and AI-native CRM campaigns, email tracking

• Demonstrated judgement in customer-facing situations - you know when to be helpful, when to push back, and when to escalate

• Comfort managing many small but important threads at once

• High attention to detail and strong follow-through

• Used AI tools to improve their productivity

Strong candidates may also have:

• Early-stage startup experience with ability to work independently in fast-paced environments

• Experience working with technical customers

• Familiarity with RL, e.g., you know what environments, evals, and benchmarks are

• Thrive in unstructured problem spaces

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 brings together five International Olympiad medalists across IOI, ILO and IPhO, researchers published at NeurIPS and ICLR, and engineers and researchers from Google DeepMind, Amazon, AWS, Meta, Qwen, GLM, and Mercor. It also includes operators from BCG and Uber, the first security hire at one of the largest crypto exchanges, serial AI startup founders, former quant researchers, artists and the former #1 ranked Catan player in the world.

• 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 (US and Singapore employees)

• Lunch and dinner for in-office employees

• Company-wide holiday break (Christmas Eve to New Year’s Day) on top of PTO and paid holidays

• 401k with a 4% match

• Other perks including an Equinox membership and commuter benefits (US employees) and a health/wellness stipend (Singapore 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.

• Two top-floor offices in San Francisco’s Union Square and Singapore’s Raffles Place

• Annual travel budget to visit either office

Compensation

Actual offers are adjusted for experience and location, but our base salary bands are

• San Francisco (and other major US cities): $100,000 - $165,000

• Singapore: $100,000 - $120,000

• Rest of world: $100,000 - $120,000

Due to high volume, we may not actively respond to every application, but feel free to contact us at [email protected] or elsewhere if we missed your application!