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Docker, Inc

Staff Sales Engineer, Strategic Accounts – EMEA

Docker, Inc

. Lead deep technical discovery across Platform Engineering, DevOps, Security, and AI/ML teams .

Posted 9/17/2026full-timeRemote • United Kingdom, Portugal, Spain, Italy, Ireland, GermanyLead💰 €141,400 - €202,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AI governance, container security, and software supply chain integrity, with a strong ability to translate technical capabilities into business value. Proven experience in leading technical discovery and executing structured PoCs/PoVs in complex enterprise sales environments.

Highest-signal resume keywords
Sales Engineer ExperiencePoC/PoV ExecutionAI Governance ExpertiseContainer Ecosystem KnowledgeStakeholder Management Skills

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
AI DevelopmentSoftware Development LifecycleDevSecOps PracticesArchitectural GuidanceEvaluation FrameworksSuccess Criteria DefinitionTechnical BriefingsPolicy-as-CodeRuntime IsolationAudit and Logging
Soft Skills
Excellent CommunicationInfluence SkillsStakeholder EngagementRelationship BuildingCustomer Advocacy
Tools & Technologies
AWSAzureGCPDockerMCP Tool GovernanceSIEM VisibilityAgentic ToolingContainer SecurityArtifact SecurityWorkshops and Demos
Industry Keywords
Enterprise SalesTechnical DiscoverySoftware Supply Chain IntegrityCISO EngagementCross-Sell Opportunities

Tech Stack

Tools & technologies
AWSAzureDockerGoogle Cloud PlatformSDLC

About the role

Key responsibilities & impact
  • 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 value in AI governance, container security, and software supply chain integrity
  • Design, position, and execute structured PoCs/PoVs
  • Define success criteria, evaluation frameworks, and executive-ready value summaries
  • Influence decisions through demos, workshops, architecture reviews, and technical executive briefings
  • Translate AI security and governance capabilities into business value narratives for CISOs, Heads of Platform Engineering, and AI leaders
  • Advise customers on responsible AI development, secure AI model lifecycle management, software supply chain integrity, container and artifact security, and DevSecOps
  • Guide implementation of governance controls across AI-enabled SDLC workflows
  • Provide architectural guidance on agentic AI environments, runtime isolation, policy-as-code, MCP tool governance, identity and access governance, audit, logging, and SIEM visibility
  • Build, own, and expand relationships with technical champions across Security, DevOps, Platform, and AI teams
  • Influence broader buying groups, shape requirements, and uncover cross-sell and expansion opportunities
  • Maintain engagement beyond the initial sale and support future sales motions
  • Advocate for customer needs with Product and Engineering
  • Coordinate with Post Sales and Support across the customer lifecycle
  • Develop reusable technical assets such as workshops, demos, reference architectures, and enablement content
  • Support competitive sales motions and develop technical win strategies for strategic and competitive accounts
  • Report to the Solutions Engineering leadership team

Requirements

What you’ll need
  • 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 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
  • Familiarity with AI governance, secure software supply chain, SLSA, SBOMs, MCP or agentic tooling, and DevSecOps practices strongly preferred
  • Must be fluent in English
  • Excellent communication, influence, and stakeholder management skills
  • Willingness to travel to customer sites up to 25%
  • Must be legally authorized to work in the country where applying
  • Docker does not offer visa sponsorship for this role

Benefits

Comp & perks
  • Remote-first by design; work from home with offices in Seattle and Paris for connection and collaboration
  • Flexible schedule
  • Generous PTO
  • Designated quarterly Whaleness Days
  • Designated end-of-year Whaleness break
  • Home office support
  • Technology stipend equivalent to US$100 net per month
  • Annual learning and development stipend for conferences, courses, certifications, and continued learning
  • 16 weeks of paid parental leave after six months of employment
  • Equity for all full-time employees
  • Medical benefits
  • Retirement benefits
  • Paid holidays, varying by country
  • Docker swag
  • Equipment setup and onboarding support
  • Collaborative onboarding training program with an onboarding peer