Developer Relations Manager, Federal Cybersecurity

Role overview

Guide federal and public-sector cybersecurity developers in adopting GPU-accelerated software and AI technologies. This senior technical role combines hands-on integration and workload profiling with partner strategy, developer education, and feedback to product teams. Partners include government agencies, systems integrators, and cybersecurity software providers working on areas such as threat detection, security operations, and zero-trust systems.

Responsibilities

- Advise public-sector cybersecurity developers and technical leaders on architecture, integration, and implementation choices. - Integrate software libraries, SDKs, containers, and reference solutions into partner products and mission workflows. - Profile workloads, diagnose performance constraints, and recommend suitable frameworks and hardware. - Create practical adoption materials such as reference architectures, sample code, notebooks, and deployment guides. - Set and track a multi-year adoption strategy, including developer engagement, integrations, and ecosystem health. - Share field evidence with engineering, product, and go-to-market teams; represent the work through technical talks, workshops, and demonstrations.

Requirements

- A degree in a relevant technical discipline or equivalent experience. - At least 12 years of progressive experience in cybersecurity engineering, security software, or a closely related area, including substantial direct work with cybersecurity developers or technical customers. - Several years leading external technical partnerships, co-development, or developer ecosystem programs, preferably serving the federal market. - Deep cybersecurity software expertise, including AI- or machine-learning-enabled security applications, and the ability to communicate technical topics to engineers and executives. - Working knowledge of federal cybersecurity requirements and frameworks, including NIST guidance, FedRAMP, and CMMC. - Ability to obtain and maintain a U.S. security clearance; a higher-level clearance is preferred.

Nice to have

Experience applying machine learning to security use cases; contributions to open-source security tools or research; network security acceleration; government cloud architecture; or a track record in developer advocacy and measurable adoption.

Benefits and work setup

The source describes salary, equity, and benefits, but does not specify a work location or arrangement.