About Docker

Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.

We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.

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Nowhere is that shift harder, or higher stakes, than in government. Federal agencies are being asked to adopt AI quickly while proving that every model, every artifact, and every build step is governed, attested, and auditable. We are hiring a Principal Sales Engineer to own the technical side of that conversation across the US Public Sector.

This is a single seat covering both the Department of War and Federal Civilian. You will be the technical face of Docker to agency CIOs, CISOs, program offices, and the platform teams who actually run the pipelines, partnering with our Federal Account Executives to shape requirements early and win competitive technical evaluations.

You will act as a trusted technical advisor and champion owner, partnering closely with Account Executives, Post Sales, Product, and our partner and reseller ecosystem to drive measurable mission and technical value through:

• Technical Selling and Deal Shaping

• AI Governance and Secure Software Supply Chain Thought Leadership

• Federal Compliance and Accreditation Fluency

• Technical Champion Ownership

• Customer and Internal Advocacy

• Competitive and Strategic Selling

This role reports to the Director of Solutions Engineering and operates at the intersection of technical depth, mission understanding, and competitive selling discipline.

Responsibilities

Technical Selling and Deal Shaping

• Lead deep technical discovery across program offices, platform and DevSecOps teams, security organizations, and AI/ML groups to understand:

  • AI governance and responsible AI requirements, including agency guidance and NIST AI Risk Management Framework alignment

  • Software supply chain risk posture and secure software development expectations

  • Accreditation and authorization constraints, including ATO timelines and continuous authorization goals

  • Air-gapped, classified, and disconnected environment requirements

• Shape technical requirements early in the acquisition cycle so that agency evaluation criteria reflect Docker's differentiated value in AI governance, container and artifact security, and software supply chain integrity.

• Design, position, and execute structured PoCs and PoVs focused on:

  • Policy enforcement and policy-as-code

  • Image and artifact integrity, provenance, and attestation

  • SBOM generation and visibility

  • Hardened and minimal base images for regulated workloads, including FIPS and STIG-aligned variants

  • AI workload governance controls and sandboxed agentic development

  • Secure build pipelines in constrained and disconnected networks

• Define clear success criteria, evaluation frameworks, and executive-ready value summaries that a program executive can carry into a funding conversation.

• Influence decision-making through demos, workshops, architecture reviews, technical exchange meetings, and executive briefings.

• Translate complex AI security and governance capabilities into mission outcomes for CIOs, CISOs, Chief Data and AI Officers, and program leadership.

AI Governance and Secure Software Supply Chain Thought Leadership

• Establish credibility as a trusted advisor on:

  • Responsible AI development practices in government

  • Secure AI model and agent lifecycle management

  • Software supply chain integrity and provenance

  • Container and artifact security in accredited environments

  • DevSecOps practice in federal platform organizations

• Guide agency teams in implementing governance controls across AI-enabled SDLC workflows, including identity and access governance for AI workloads and policy-as-code enforcement.

• Represent Docker publicly in the federal community through