
51 - 200 employees
💼 Consulting
☁️ SaaS
💰 $105M Series C on 2022-03
Consulting • SaaS
Docker, Inc is a company that simplifies the lives of developers by tackling the complexity of app development. They offer tools that allow developers to bring their ideas to life through containerization and orchestration, making the development process easier and more efficient. Docker's products, including Docker Desktop and Docker Hub, are widely adopted by millions of developers worldwide, enhancing workflows and providing an integrated development pipeline.
🔥 9 minutes ago
🌐 United Kingdom, Portugal, +4 more countries – Remote
💵 €141.4k - €202k / year
⏰ Full Time
🔴 Lead
💸 Sales Engineer
👻 Ghost score 1%
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51 - 200 employees
💼 Consulting
☁️ SaaS
💰 $105M Series C on 2022-03
Consulting • SaaS
Docker, Inc is a company that simplifies the lives of developers by tackling the complexity of app development. They offer tools that allow developers to bring their ideas to life through containerization and orchestration, making the development process easier and more efficient. Docker's products, including Docker Desktop and Docker Hub, are widely adopted by millions of developers worldwide, enhancing workflows and providing an integrated development pipeline.
• 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
• 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
• 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
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