You will lead the development and scaling of foundational platform authentication and authorization infrastructure. You will collaborate with cross-functional teams to define security standards and integrate identity management across mission-critical software.
You will conduct full lifecycle recruiting for technical roles, with a focus on sourcing senior engineering talent. You will also collaborate with hiring managers to define requirements and drive process improvements to ensure a world-class candidate experience.
The Contracts Manager will develop and maintain government contract processes while building AI-native workflows for compliance and efficiency. They will also assist in negotiating agreements and provide frontline support for contract-related requests from internal and external stakeholders.
You will implement and deploy enterprise-standard security checks like SAST, SCA, and DAST within the CI/CD pipeline. Additionally, you will partner with development teams to conduct threat modeling, review code, and drive a shift-left vulnerability detection program.
You will design and implement technical strategies for search, leveraging full-text search, vector databases, and LLMs to improve system latency and relevance. You will also collaborate with ML and product teams to translate user needs into innovative, data-driven search solutions.
Lead the AI Platform organization to build and scale durable foundations for machine learning and agentic AI systems. Define technical strategy, establish platform standards, and foster a high-performing team to support mission-critical national security workflows.
Build and scale a centralized authentication and authorization platform to ensure secure resource access across customer environments. Own the internal self-service platform for user and permission management while collaborating with cross-functional teams to improve developer experience.
Lead engagements with government program offices to identify mission problems and translate them into technical narratives for AI software adoption. Scope and shape pilots to convert demonstrated mission value into sustained, funded programs.
Lead the Security Platform team to drive the strategy and execution of authentication, authorization, and access management systems. Build secure-by-default platforms that reduce developer friction and ensure precise resource access control.
Lead the month-end close, financial reporting, and compliance while modernizing the finance stack by migrating to an AI-first ERP. Partner with the Head of Finance to design product-level cost accounting and build scalable workflows for a growing organization.
You will define how users delegate work to AI agents and shape the systems that turn user intent into execution. You will partner with engineering and operators to identify high-leverage problems and drive them through to shipped capability.
The DevOps Engineer will own build and deployment automation while maintaining platform health and scaling infrastructure. They will also develop self-service tools and implement robust logging and monitoring solutions to improve SRE practices.
You will lead the development and adoption of the Agents Platform, driving best practices and tooling for building reliable AI agents. You will collaborate with internal teams to build evaluation frameworks and solve governance challenges unique to AI agent systems.
The engineer will design, build, and ship a cutting-edge identity search platform using modern web technologies while partnering with customers and stakeholders to create superior solutions for user workflows. Responsibilities also include implementing and maintaining high-scale search and agentic AI systems for various data shapes.
The Staff Technical Product Manager will define and evolve cross-platform system primitives and structures, translating mission needs into durable system behaviors and clarifying system intent through artifacts like PRDs and specs. This role drives resolution of structural problems spanning multiple engineering organizations, building alignment across leadership and stakeholders to maintain convergence momentum.
The role involves designing and building scalable Machine Learning services for enrichment workflows, including developing model training pipelines and deploying high-performance inference APIs. Responsibilities also include optimizing models using modern libraries to achieve low-latency, high-throughput performance in production environments.
