À propos de ce poste AI Enterprise Technical Program Manager chez Redhorsecorp
Join the Team Building the Future of AI for National Security
We are redefining how the U.S. Government transforms data into operational advantage through artificial intelligence, graph analytics, and mission-driven software engineering. Our teams work alongside the Department of Defense to build secure, scalable capabilities that enable analysts and decision-makers to move faster, reason better, and operate with greater confidence.
Our approach combines human-centered design, modern software engineering, graph technologies, artificial intelligence, and agile delivery to solve some of the nation's most challenging problems.
We're looking for an exceptional Technical Program Manager (TPM) to help lead the execution of next-generation AI capabilities supporting the Department of Defense. This role sits at the intersection of engineering, mission operations, and executive leadership, ensuring highly technical programs deliver measurable operational outcomes.
About the Role
Redhorse transforms the way government uses data and technology. To support this mission, we are seeking an AI Enterprise Technical Program Manager to lead the execution of next-generation AI and graph analytics capabilities for the Department of Defense. This role sits at the critical intersection of engineering, mission operations, and executive leadership. You will be responsible for transforming strategic national security objectives into scalable, operational AI solutions that enable analysts and decision-makers to move faster and operate with greater confidence.
Key Responsibilities
Lead Technical Program Execution
Drive AI and Data Modernization
Bridge Mission and Engineering
Technical Leadership
Executive Engagement
Delivery Excellence
Required Experience/Clearance
- Active Top Secret (TS) clearance with SCI eligibility.
- 8+ years of experience leading complex technical programs supporting the Department of Defense (DoD) or Intelligence Community (IC).
- Demonstrated experience managing enterprise software development or AI/ML initiatives.
- Proven track record of coordinating cross-functional engineering teams delivering modern, cloud-based solutions.
- Strong proficiency in Agile software development methodologies and lifecycle management.
- Excellent communication skills with the ability to bridge the gap between technical engineering teams and executive-level stakeholders.
- Bachelor’s degree in Engineering, Computer Science, Information Systems, or a related technical discipline.
Desired Experience
We encourage all candidates who meet the basic requirements to apply, even if you do not have experience in every area listed below:
- Familiarity with AI/ML platforms and Large Language Models (LLMs).
- Experience with Knowledge Graphs, Graph Analytics, or Neo4j database technologies.
- Hands-on exposure to Data engineering, ETL pipelines, and Big Data tools like Spark or Databricks.
- Experience with Cloud platforms (AWS, Azure, or Google Cloud) and containerization (Kubernetes/Docker).
- Understanding of DevSecOps, CI/CD pipelines, and Zero Trust architectures.
- Knowledge of Human-Centered Design (HCD) methodologies.
- Experience with mission command, intelligence, or operational decision support systems within the DoD
What Makes Someone Successful
The strongest candidates combine technical credibility with exceptional leadership.
They are comfortable discussing software architecture with engineers in the morning, facilitating user discovery sessions in the afternoon, and briefing Senior Executives before the end of the day.
They naturally connect people, remove obstacles, manage ambiguity, and create momentum across highly technical teams.
Above all, they understand that technology is only successful when it improves mission outcomes.
Why Redhorse
At Redhorse, you'll help build technologies that directly support national security while working alongside engineers, data scientists, designers, and mission experts solving problems that matter.
If you're energized by emerging AI technologies, enterprise-scale technical challenges, and building capabilities that make a real operational impact, we'd like to meet you.
