Recidiviz is a technology-driven company focused on reducing prison populations through innovative data analytics and criminal justice solutions. We develop software and services that prevent avoidable admissions, identify earned release opportunities, and support community re-entry programs. Our unique approach leverages advanced analytics and design to create impactful social change in the criminal justice system.
Open Positions
State Partnerships Manager (Harrisburg, PA)
3+ years of experience, experience working in state governments, process leadership and documentation skills
State Partnerships Manager (Austin, TX)
3+ years of experience in account management, product management, political strategy / lobbying, business development, policy, or similar role. Strong relationship-building skills and ability to adapt to changing environments
State Partnerships Manager (Boston, MA)
3+ years of experience in account management, product management, or similar roles; ability to build strong relationships with state prison agencies; understanding of how to make progress in challenging environments
State Partnerships Manager (St. Louis, MO)
3+ years of experience in account management, product management, political strategy / lobbying, business development, policy, or similar role
Director of Product
10+ years of product management experience, strong communication and relationship skills, and a builder's mindset paired with strategic rigor
Senior Manager of Human Resources
5+ years of experience in HR management and ability to handle delicate labor relations issues with high emotional intelligence
Implementation Engineer
2+ years of experience building, maintaining, or debugging data pipelines in a production environment, strong proficiency in SQL and relational databases, solid Python skills
Product Growth Manager
3+ years of relevant work experience, clear and empathetic communication style, ability to quickly develop a deep understanding of Recidiviz tools and the criminal justice domain
Data Analyst
2+ years of full-time, professional work experience, ability to inspect source data, reason about data models, examine results closely