Job Description Insight Global is looking for a Sr. Technical Product Owner to support us on an important project deploying proprietary AI/ML software for a DoW customer. This individual will be the technical face of our project between DoW customer on Ft. Belvoir and our remote engineering team. You will own the product vision, translate customer needs into actionable technical requirements, and ensure alignment between what the customer needs and what the engineering team delivers. This role requires someone who can whiteboard architectural solutions with government stakeholders in the morning and drive sprint priorities with distributed engineers in the afternoon. Hourly: 82-98/hr Salary: 170-205k We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements -Bachelor’s Degree and 7+ years of experience -Background in Software or Infrastructure Engineering -Knowledge of Microservice architectures and best practices -Experience with, or ability to interface directly with government customers -Experience translating customer needs into technical solutions -Understanding of how software integrates onto existing infrastructure -AI/ML experience -Experience with LLMs