Contract Technical Recruiter

Job description

About Invisible Invisible Technologies makes AI work. Our end-to-end AI platform structures messy data, automates digital workflows, deploys agentic solutions, measures outcomes, and integrates human expertise where it matters most. Our platform cleans, labels, and structures company data so it is ready for AI. It adapts models to each business and adds human expertise when needed, the same approach we have used to improve models for more than 80% of the world’s top AI companies, including Microsoft, AWS, and Cohere. Our successes span industries, from supply chain automation for Swiss Gear to AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets. Profitable for more than half a decade, Invisible reached $134M in revenue and ranked as the number two fastest growing AI company on the 2024 Inc. 5000. In September 2025, we raised $100M in growth capital to accelerate our mission of making AI actually work in the enterprise and to advance our platform technology. About The Role As a Contract Technical Talent Acquisition Partner, you will play a mission-critical role in scaling Invisible’s technical talent pipeline. In this engagement, you’ll be responsible for building and maintaining evergreen pipelines of world-class engineers across data engineering, machine learning, and full stack development. These engineers are deployed in our forward deployed engineering teams—elite squads embedded directly with customers to build transformative AI-powered solutions. This engagement requires proactive pipeline development, seamless coordination with sales and delivery leads & Field CTOs and a deep understanding of technical talent acquisition in a fast-scaling, customer-responsive environment. Your success will ensure that Invisible is always ready to deploy top engineering talent the moment opportunity strikes. This is a 3 to 6 month contract engagement at approximately 40 hours per week, with the potential to extend based on business needs. What You’ll Do Build and maintain robust, high-quality candidate pipelines for evergreen roles across data engineering, machine learning, and full stack development. Collaborate closely with sales, delivery, and engineering leadership to forecast hiring needs tied to customer deployments and revenue pipeline. Develop and execute outbound sourcing strategies to identify and engage top-tier…