Customer Operations Lead

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.

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.

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

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

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

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

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

• 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

• 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.