Solutions Manager, Federal

In This Role, You Will:

• Develop compliant solutions for federal clients, adhering to regulations and security standards, ensuring seamless integration
• Forge strategic relationships with business and technology leaders within US Government agencies to uncover high-impact use cases for the Pryon Platform 
• Define the benefits of implementing the Pryon Platform to address specific business challenges faced by federal customers
• Influence product development and strategy through direct customer interactions and feedback, ensuring alignment with federal requirements and priorities
• Partner closely with Pryon's sales leadership to develop and implement effective account strategies targeted at the federal sector
• Collaborate with Product Marketing, Engineering, and R&D teams to create market-relevant case studies and technical materials that resonate with federal customers

What You'll Need to Be Successful:

Required:

• Government-issued clearance (Secret; TS/SCI preferred) 
• Experience in programming (ideally Python or JavaScript) with a focus on NLP, ML, AI, and data science
• Knowledge of cloud-based architectures, particularly those compliant with federal security and data protection standards 
• In-depth knowledge of the Federal Acquisition Regulation (FAR), Other Transaction Authority (OTA), Authority to Operate (ATO) requirements, and proficiency in navigating government contracting procedures
• Insight into the competitive landscape in NLP and knowledge management platforms, especially within the context of federal applications
• Strong public speaking skills and the ability to engage effectively with senior stakeholders in the government sector 
• Bachelor’s degree in a STEM field from an accredited university
• At least 4 years of professional experience, including 2 years in a role with significant exposure to management consulting, AI/ML, NLP, knowledge management, or cloud technologies

Highly advantageous:

• Advanced degree in Business Administration, Computer Science, Data Science, Engineering, or Statistics