- 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

- 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

- 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

- 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 insights to support future sales motions

- Advocate for customer needs with Product and Engineering, providing clear, actionable feedback informed by field experience

- Coordinate with Post Sales and Support resources to ensure continuity across the customer lifecycle

- Develop reusable technical assets (workshops, demos, reference architectures, enablement content) to scale impact across accounts

Benefits

- 100% company paid medical premiums for employees and dependents

- Flexible Time Off Policy

- Employer Paid Holidays
- Generous Parental Leave (after 6 months of employment)

- Home Office Set Up Budget

- Monthly Technology Stipend

- Training Allowances

- Life and Disability Insurance

- Retirement Plans
- Virtual and In-Person Social Events

- Docker Swag
- Quarterly Hackathons- Development, Agentic AI dev, Software Development Lifecycle and/or Software Supply Chain experience strongly preferred

- Excellent communication, influence, and stakeholder management skills

- Strong experience running competitive PoCs/PoVs with clearly defined success and exit criteria

- Ability to engage credibly with senior technical and business stakeholders

- Proven experience as a Sales Engineer, Solutions Engineer, or Solution Architect in complex enterprise sales

- Must be fluent in English

- Willingness to travel to customer sites up to 25%

- Solid understanding of cloud platforms (AWS, Azure, GCP), containers, DevOps, and up-to-date application architectures

- Experience with Docker, container ecosystems, or adjacent technologies strongly preferred

- Love of developer tooling

📌 Senior Solutions Engineer (Mid-Enterprise) (Canada)
🏢 Docker
📍 Canada