• Partner closely with Research, Data Science, and other hiring managers to support their growth efforts • Ensure we’re meeting our hiring goals and exceptionally high quality standards in a sustainable and diligent manner • Contribute to sourcing a rich pipeline of rarified technical talent • Manage the offer process and develop effective closing strategies • Own the candidate experience and make it a positive and memorable journey, even for candidates who do not join us • Maintain and improve a high-performance recruiting process tuned to delivering outstanding quality of hire in an efficient, organized manner • Develop and share institutional knowledge / insight around talent markets and effective recruiting practices and content for Voleon • Lead various projects to improve our recruiting efforts overall

• Directly source a rich pipeline of rarified technical talent across a portfolio of searches, with an initial focus on Research roles • Partner closely with sourcers, recruiters, and hiring managers to develop effective sourcing and pitching strategies • Institutionalize our talent strategies and outreach content broadly to make the whole team more effective at sourcing • Take ownership for sourcing and talent strategy-related processes and initiatives such as new search launches and talent market evaluations • Own the candidate experience and make it a positive and memorable journey • Maintain and improve a high-performance recruiting process tuned to delivering outstanding quality of hire

• Analyze large amounts of information to discover trends and patterns. • Web-scrape and build data pipelines using Airflow and PostgreSQL. • Build dashboards on Apache Superset and configure the pipeline. • Host the pipeline on AWS instances.

• Design, develop, and ship data-driven solutions that power AI search engine • Own entire lifecycle from data exploration and modeling to production rollout • Partner with engineering team for scalable, reliable deployments • Deep dive into data processing flows to improve output quality • Constantly improve model efficiency and system stability • Collaborate in a high-velocity R&D environment