Customer Operations Lead
About the job
- Experience in customer operations, business operations, consulting, or similar roles.
- Familiarity with customer relationship management tools, external vendor management, AI-native customer relationship management campaigns, and email tracking.
- Demonstrated judgment in customer-facing situations, including knowing when to help, push back, or escalate.
- Comfort managing many small but important threads at once.
- High attention to detail and strong follow-through.
- Experience using artificial intelligence tools to improve productivity.
- Own the human-in-the-loop layer of operations across data suppliers, including vendors, and buyers, including frontier labs and enterprises.
- Join customer conversations when human involvement is needed to build trust, clarify context, or move matters forward.
- Resolve contract, onboarding, and platform blockers by working with the appropriate internal owners.
- Turn recurring customer issues, feedback, and learnings into improved processes, platform, and communications.
- Build lightweight systems that streamline workflows or make future problem resolution easier.
- Early-stage startup experience and the ability to work independently in fast-paced environments.
- Experience working with technical customers.
- Familiarity with reinforcement learning, including environments, evaluations, and benchmarks.
- Ability to thrive in unstructured problem spaces.
About the company
HUD provides an evaluation platform for AI agents that perform computer-use tasks. It offers an interface that connects to HUD evaluation environments, allowing users to run benchmarks across hundreds of environments and thousands of tasks. Users can integrate their agents using various adapters, and interact with the system through an asynchronous API for efficient experiments. The platform then collects telemetry and benchmarking results to inform agent improvements. HUD differentiates itself by concentrating on evaluating and improving knowledge-work agents across a wide range of tasks and environments, rather than just building models, and by enabling scalable, tool-enabled testing via adapters and an asynchronous workflow. The company’s goal is to help organizations and developers assess, compare, and enhance their AI agents so they perform better in real-world knowledge-work scenarios.
Company Size
11-50
Company Stage
Seed
Total Funding
$130K
Headquarters
San Francisco, California
Founded
2025
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Simplify's Take
What believers are saying
- HUD raised a Series A on June 18, 2026, signaling investor conviction.
- Over 50 businesses already use HUD, proving real commercial demand.
- HUD’s platform exports graded traces and supports training data, expanding monetization beyond benchmarks.
What critics are saying
- Scale and Mercor now attack computer-use environments; HUD faces faster-funded rivals in 2026.
- HUD’s fast-moving v6 API and docs create execution risk for customers and contributors.
- If frontier labs internalize environment generation, HUD becomes a replaceable tooling layer by 2027.
What makes HUD unique
- HUD’s v6 platform unifies environments, tasksets, traces, and replayable graded attempts.
- HUD’s open-source Python SDK and REST API lower integration friction for agents.
- HUD focuses on computer-use and long-horizon evaluations, a narrower wedge than generic observability.
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Benefits
Health Insurance
Dental Insurance
Vision Insurance
Paid Vacation
Paid Holidays
Commuter Benefits