Company brief · updated 2026-10-18
hud.ai · B2B
Today: "HUD is building reliable, fair and open infrastructure for AI data, and this role develops the datasets and evals that make robotics data useful for training and evaluating embodied AI systems." (Research Engineer, Robotics Evals posting)
Roles: Research Engineer, Robotics Evals · Research Engineer, Robotics Data
Requirements mention: robot trajectories · vision-language-action models · imitation learning · turning research questions into dataset specifications, experiments, and measurable quality criteria
Inference: HUD is extending its AI data and evals work to robotics and embodied AI. Two Engineering and Research roles, both opened in the last 30 days, point to this.
Today: "a data marketplace and platform that let data vendors create high-quality RL environments and training data using HUD's tools." (Product Manager, Platform posting)
Roles: Product Manager, Platform · Product Manager, Marketplace · Product Engineer · Full-Stack Software Engineer, Design · Full-Stack Software Engineer, Reinforcement Learning
Requirements mention: data marketplace · RL environments · marketplace health · talking directly with users · interaction design · RL data engine
Inference: HUD is building out the marketplace and its RL environment tooling across product, design and engineering at the same time. The postings name two sides of the marketplace: data vendors who supply environments and training data, and research teams who discover and access them.
Today: "this role owns how HUD measures, improves, and scales the quality of training data for frontier agents." (Lead Research Engineer, Data Quality posting)
Roles: Lead Research Engineer, Data Quality · Software Engineer, Data Quality · Research Engineer, QC Automation · Senior Research Manager
Requirements mention: QC systems · validation pipelines · trajectory audits · adversarial checks · reward hacking · feedback loops · automated QA/QC systems
Inference: HUD is investing in automated QC and validation for training data. Four Engineering and Research roles support this reading.
Today: "HUD is building high-quality benchmarks for evaluating frontier agents on domain-specific tasks that are technically rigorous, practically useful, and credible to frontier labs." (Research Engineer, Benchmarks posting)
Roles: Research Engineer, Synthetic Data · Research Engineer, Benchmarks · Research Engineer (General)
Requirements mention: synthetic training tasks · domain-specific benchmarks · synthetic data pipeline · benchmark tasks · agent training environments
Inference: the postings describe building synthetic training tasks and domain benchmarks for AI agents. Two of these roles were opened in July 2026 and one in April 2026.
Today: "a marketplace and platform used by startups, Fortune 500 companies and frontier labs." (Business Development Lead posting)
Roles: GTM Lead, Commercial Partnerships · Business Development Lead · GTM Engineer · Customer Operations Lead
Requirements mention: outbound email sequencing · CRM automation · lead scoring · inbound lead qualification · closing deals · vibe code scrapers · AI-native CRM campaigns
Inference: HUD is adding outbound sales capacity built on automated tooling. Three GTM roles share near-identical outbound and CRM automation requirements, and Customer Operations Lead supports the customer side.
Today: "HUD's mission is to build reliable, fair and open infrastructure for AI data, making data valuable for the people who create it and trustworthy for the labs that train on it." (Talent Engineer posting)
Roles: Head of Talent · Talent Engineer · Business Operations
Requirements mention: Own end-to-end recruiting · recruiting ops and tooling · recruiter management · work trial management · onboarding and new hire ramp
Inference: HUD is building out its own recruiting and hiring operations, consistent with the number of open roles.
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HUD has 30 open roles, all in San Francisco: 14 Engineering and Research, 6 Operations, 5 GTM, 4 Design and Product, and 1 Other; 14 opened in the last 30 days against 7 in the prior 30, with 1 closed.
Seniority: Mid 11, senior 6, unknown 9, staff 1, manager 1, director 1, junior 1 (counts across 30 roles).
Skills named most: Python, Docker, Linux environments, reinforcement learning, evals, benchmarks, APIs, backend services, TypeScript, React, Clay, CRM automation
Locations: All 30 roles are listed as San Francisco; none are remote.
If you're applying: Engineering and Research is the largest group, at 14 of 30 roles, and every role is in San Francisco. If you have Python, Docker and evals or benchmark experience, several Research Engineer postings list those as requirements. Check the fit lines against the posting before applying.
If you're selling or recruiting: Recruiters: four GTM roles (GTM Lead, Commercial Partnerships; Business Development Lead; GTM Engineer; Customer Operations Lead) ask for outbound email sequencing and CRM automation, and all are in San Francisco. Sales: recent postings for Senior Security Engineer (SOC 2, security questionnaires, vendor reviews), Senior Software Engineer, Infrastructure (AWS, Kubernetes/EKS, Terraform) and Research Engineer, Privacy and Anonymization (PII removal before synthetic data pipelines) point to work on security and infrastructure. 14 roles opened in the last 30 days, against 7 in the prior 30.
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