Senior Solutions Engineer, Mid-Enterprise

Docker · Canada, United States · по договорённости

Компания
Docker
Город
Canada, United States
Зарплата
по договорённости
Уровень
senior
Формат
full_time
Иностранная компания
нанимает русскоязычных

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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We are seeking a highly consultative, commercially minded Senior Solutions Engineer, Mid-Enterprise to support our most strategic accounts. This role is a critical technical seller position, owning pre-sales technical strategy, shaping customer requirements early, and influencing outcomes in complex, competitive sales cycles.
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 through
Technical Selling and Deal Shaping,

Technical Champion Ownership and Thought Leadership,

Customer and Internal Advocacy and

Competitive and Strategic Selling

This role reports to the Manager of Solutions Engineering and operates at the intersection of technical depth, business acumen, and competitive selling discipline.

Responsibilities
Technical Selling and Deal Shaping
Lead deep technical discovery across Platform Engineering, DevOps, Security, and AI/ML teams to understand:
AI governance requirements

Software supply chain risk posture

Regulatory and compliance drivers (e.g., NIST AI Risk Management Framework, EU AI Act.)

Secure development lifecycle requirements

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:
Policy enforcement

Image and artifact integrity

SBOM visibility

AI workload governance controls

Secure build pipelines

Develop custom code, scripts and integrations to help in customer environments

Define clear success criteria, evaluation frameworks, and executive-ready value summaries.

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

Translate complex AI security and governance capabilities into clear business value narratives for CISOs, Heads of Platform Engineering, and AI leaders.

AI Governance and Security Thought Leadership
Establish credibility as a trusted advisor on:
Responsible AI development practices

Secure AI model lifecycle management

Software supply chain integrity

Container and artifact security

DevSecOps best practices

Guide customers in implementing governance controls across AI-enabled SDLC workflows.

Provide architectural guidance for:
Agentic AI development environments

Policy-as-code enforcement

Identity and access governance for AI workloads

Act as a subject matter expert on secure software supply chain and AI security trends in customer-facing engagements.

Technical Champion Ownership and Thought Leadership:
Build, own, and expand relationships with technical champions across Security, DevOps, Platform, and AI teams.

Establish credibility as a trusted advisor through technical thought leadership, architectural guidance, and industry best practices.

Leverage champion relationships to influence broader buying groups, shape requirements, and uncover cross-sell and expansion opportunities.

Maintain engagement beyond initial sale ensuring outcomes are realized and leveraging in

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