Docker
Staff Sales Engineer
Overview
We're looking for a Staff Sales Engineer who's energized by solving hard, emerging problems at the intersection of AI, security, and software delivery. You will act as a trusted technical advisor and champion owner, partnering closely with Account Executives, Post Sales, and Product teams to drive measurable business and technical value.
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
Requirements & Eligibility
- Experience as a Sales Engineer, Solutions Engineer, or Solutions Architect in complex enterprise sales.
- Strong experience running competitive PoCs/PoVs with clearly defined success and exit criteria.
- Ability to engage credibly with senior technical and business stakeholders, including security and platform leadership.
- Solid understanding of cloud platforms (AWS, Azure, GCP), containers, DevOps, and modern application architectures.
- Experience with Docker, container ecosystems, or adjacent technologies strongly preferred.
- Development, agentic AI development, software development lifecycle, and/or software supply chain experience strongly preferred.
- Must be fluent in English.
- Excellent communication, influence, and stakeholder management skills.
Key Responsibilities
- Lead deep technical discovery across Platform Engineering, DevOps, Security, and AI/ML teams
- Shape technical requirements early in the sales cycle to align customer outcomes with Docker's differentiated value in AI governance, container security, and software supply chain integrity.
- Design, position, and execute structured PoCs/PoVs focused on sandbox, network, and MCP tool policy enforcement
- Establish credibility as a trusted advisor on responsible AI development practices, secure AI model lifecycle management, and software supply chain integrity
- Build, own, and expand relationships with technical champions across Security, DevOps, Platform, and AI teams.
- Advocate for customer needs with Product and Engineering, providing clear, actionable feedback informed by field experience.
- Actively support competitive sales motions by identifying differentiation and influencing evaluation criteria throughout the sales cycle.
Disclaimer: Trace Hiring is an independent job board. We are not directly affiliated with Docker. Please verify all details on the official company application portal.