Jobs at hud

Lead the Singapore SDR team, set outreach and listing targets, coach team members, support hiring and onboarding, maintain CRM and pipeline operations, prioritize outreach based on buyer demand, and assist with sales, partnerships, events, and founder-led projects. The role also involves building scalable systems and using AI tools to automate GTM workflows.

Conduct daily outbound prospecting through cold calls, emails, and LinkedIn messages. Identify contacts, explain HUD’s data-listing platform, handle objections, and follow up with interested providers. Guide prospects through signup and listing submission, collect complete listing information, maintain accurate contact records, and meet outreach and listing targets. This is an early-career sales role with training, feedback, and opportunities for increased responsibility.

Conduct daily outbound prospecting through cold calls, emails, and LinkedIn messages. Identify contacts, explain HUD’s data-listing platform, handle objections, follow up consistently, and guide providers through signup and listing submission. Maintain accurate contact records, meet outreach targets, and generate complete listings aligned with AI buyer demand. The role is Singapore-based, full-time, and offers training and support for early-career candidates.

Conduct daily cold calls, emails, and LinkedIn outreach to identify data providers and persuade them to list useful data on HUD. Explain the platform, answer questions, handle objections, follow up consistently, guide providers through signup and listing submission, maintain accurate contact records, and meet outreach and completed-listing targets. This is an early-career role with training, feedback, and opportunities for increased responsibility.

Conduct daily cold calls, emails, and LinkedIn outreach to prospective data providers. Explain HUD’s marketplace, address objections, follow up consistently, and guide interested providers through signup and listing submission. Maintain accurate contact records, collect complete listing information, assist prospects, and meet outreach and listing targets. This is an early-career role emphasizing communication, persistence, organization, sales-tool proficiency, and learning potential.

Conduct daily cold calls, emails, and LinkedIn outreach to persuade businesses and individuals to list data on HUD. Identify relevant contacts, explain the platform, handle objections, follow up consistently, and guide providers through registration and listing submission. Maintain accurate contact records, meet outreach and listing targets, and improve through feedback. The role is designed for early-career candidates, with sales tools, scripts, and training provided.

Conduct daily outbound prospecting through cold calls, emails, and LinkedIn messages. Identify relevant contacts, explain HUD’s data-listing platform, handle objections, and consistently follow up with prospects. Guide interested providers through signup and listing submission, collect complete listing information, maintain accurate contact records, and meet outreach and qualified-listing targets. This is an early-career, remote role aligned with Singapore business hours.

Design and build interfaces across HUD’s AI data platform and marketplace. Translate complex agent runs, evaluation results, reward signals, and reinforcement learning workflows into clear, actionable products. Partner with users, researchers, and engineers; conduct user research; ship and refine experiences; establish reusable interaction patterns; and maintain high standards for usability, visual quality, and implementation.

Build reliable software and infrastructure for frontier AI agent research, including environment execution, trajectory collection, evaluations, experiment orchestration, data pipelines, and observability. Partner with research engineers to turn prototypes into reusable, tested systems; improve reproducibility, scalability, cost efficiency, and recovery from failed runs; and own infrastructure from design through operation.

Write technically accurate case studies, articles, product explainers, launch materials, and social content for AI engineers, researchers, and technical leaders. Interview customers, partners, and internal experts; learn HUD’s platform and workflows; explain technical products and research clearly; support founder communications; manage content from ideation through publication; and improve content using reader and go-to-market feedback.

Develop datasets, evaluation methods, validation tools, and quality standards for robotics and embodied AI systems. Translate research needs into dataset specifications, design collection protocols, audit multimodal robotics data, and run experiments analyzing how data quality and structure affect model performance. Collaborate with research, engineering, data providers, and customers to improve robotics data offerings.

Own customer-facing operations across data suppliers and AI labs, including activation, engagement, onboarding, contract and platform issue resolution. Build trust through customer conversations, coordinate internal blockers, and convert recurring feedback into improved processes, platform capabilities, communications, and lightweight workflow systems. The role requires strong judgment, organization, follow-through, CRM familiarity, and comfort working independently in a fast-paced startup environment.

Build and improve HUD’s platform and marketplace for RL training data and evaluations. The Product Engineer will identify user friction, define priorities, design prototypes, and ship full-stack product experiences. Responsibilities include improving agent-run and evaluation workflows, building frontend and backend functionality for onboarding and environment submission, and using user feedback and product signals to iterate. The role requires close collaboration with product, design, engineering, research, and go-to-market teams.

Develop robotics datasets and evaluations for embodied AI systems. Responsibilities include defining data schemas, annotations, quality standards, collection protocols, validation tools, and review workflows. The role also involves running experiments to assess how data quality and structure affect model performance, collaborating with research, engineering, vendors, and customers, and taking research tools from conception through deployment.

Design and build interfaces for HUD’s AI agent training, evaluation, and marketplace products. Translate complex reinforcement learning workflows, agent runs, evaluation results, reward signals, and quality feedback into clear, actionable experiences. Collaborate with users, researchers, and engineers to ship polished products, conduct user discovery, improve usability, and develop reusable interaction patterns.

Own the HUD data marketplace product lifecycle, improving vendor onboarding, submission workflows, quality feedback, and marketplace management. Enable research teams to discover, evaluate, and access AI training data and RL environments. Partner with engineering, research, GTM, and operations to simplify complex workflows, define marketplace health metrics, and prioritize product improvements using user feedback and quantitative data.

Lead research on improving AI agent training data and evaluations. Manage and mentor research engineers, define research direction, design rigorous experiments, validate data quality, diagnose reward and grading failures, and translate findings into scalable tools, workflows, and standards. Collaborate with engineers, domain experts, and vendors while communicating technical conclusions and tradeoffs clearly.

Own the data marketplace product lifecycle, improving vendor onboarding, submissions, quality feedback, offerings management, and buyer discovery. Partner with engineering, research, GTM, and operations to convert complex requirements into reliable workflows. Define marketplace health and adoption metrics, use qualitative and quantitative insights to prioritize product improvements, and guide launches and iteration in a fast-growing AI startup.

Business Operations generalist supporting hiring, people operations, finance, vendors, cross-functional projects, content, events, and special initiatives. The role partners closely with founders and the Chief of Staff, builds scalable operating systems, handles ambiguous business questions, and uses AI to automate workflows. It is an early-career, fast-paced position at an AI infrastructure startup requiring strong organization, communication, judgment, and adaptability.

Lead end-to-end recruiting for engineering and go-to-market roles at an early-stage AI infrastructure startup. Responsibilities include building recruiting operations and tooling, partnering with founders on role and interview design, sourcing exceptional candidates, evaluating technical and product-market aptitude, supporting onboarding, and helping establish performance reviews, leveling, and feedback systems.