Terac is an AI‑native research platform that streamlines the entire user‑research lifecycle—from sourcing participants and conducting scalable, human‑like interviews to analyzing findings and compensating participants. The platform supports voice, video, and text interviews, concept and usability testing, and enables teams to build a dynamic research repository that can be queried on demand. Terac’s proprietary in‑house panel, rigorous quality controls, and self‑serve workflow accelerate research cycles, delivering actionable insights in hours rather than weeks. This agility empowers product teams to adjust roadmaps in real time, rather than waiting for quarterly reviews. By combining AI automation with human‑centric research, Terac offers a unique blend of speed, quality, and flexibility that sets it apart in the market.
Open Positions
Service Operations: Share Your Experiences
Experience in service-oriented roles, interested in sharing feedback, and familiar with customer flow management
Share Your Perspectives: Quick Research Study
Diverse backgrounds and experiences, honest and thoughtful responses, open to providing feedback on various topics
Recruiting Coordinator
Experience attracting world-class talent, comfortable working with high-profile clients, and data-driven decision making
Technology Insights: News Discussion
Individuals with a keen interest in current events and developments within the technology sector
Founding Marketing
Fast-paced environment, high agency, and a focus on data-driven decisions
Campus Ambassador, Expert Recruitment
No Education Required, Bias to action, Data-driven
Sales Rep
Generalist Mindset, Revenue Focused, Scrappy & Autonomous
Founding Engineer
3+ years of experience, deep fluency with TypeScript and React, and experience with LLMs and AI SDKs
Founding Ops
Founder-mindset operator with experience in fast-paced startup environments, ideally with exposure to AI, marketplaces, or expert networks
Campus Ambassador, Academia
No-busywork mentality, bias to action, data-driven, research background