The Forward Deployed Software Engineering Manager will lead a team of engineers through the full software development lifecycle to deliver solutions for government customers. This role involves establishing coding standards, managing Agile ceremonies, and collaborating with cross-functional teams to translate business requirements into scalable technical specifications.
You will own the product strategy for the Core Platform, ensuring it serves as a scalable foundation for all mission solutions. You are responsible for setting portfolio-level direction, driving platform adoption, and leading a team of product managers.
You will lead a team of forward-deployed UX designers to embed with customers, co-create AI-native solutions, and validate design decisions in real operational settings. The role involves scaling a system for mission discovery, prototyping, and integrating field insights back into the core platform.
You will own the end-to-end product strategy for a mission solution area, ensuring alignment with customer readiness outcomes and business growth. You will lead cross-functional teams to translate complex mission workflows into scalable, AI-native product solutions.
You will embed with customers to conduct deep user research and translate findings into innovative AI-native product solutions. You will collaborate with engineers and data scientists to scope research, build prototypes, and iterate on product initiatives.
Visit customer sites to understand user pain points, then collaborate with product managers and designers to scope, architect, and deliver new software capabilities and customer-facing prototypes. Use user feedback to prioritize gaps, iterate quickly, and produce clean, testable, maintainable code that delivers customer value.
The Vice President of Design will define the end-to-end design strategy for an AI-native platform, leading the user experience, product design, and research functions. They will partner with Product, Engineering, and Data leadership to build intuitive workflows for complex enterprise and government systems.
Design and build robust LLMOps infrastructure to support the development, evaluation, and deployment of production language models. Manage the full model lifecycle, including dataset pipelines, distributed training, model serving, and production observability.
You will identify vulnerabilities in agentic AI systems and develop robust security architectures, automated evaluations, and engineering primitives. The role involves building secure execution environments and hardening infrastructure to support the safe deployment of AI agents in adversarial settings.
Design, develop, and deploy scalable AI solutions and agentic frameworks to solve complex defense acquisition challenges. Work directly with government clients to translate vague needs into concrete technical requirements and production-grade AI workflows.
