Senior Solutions Engineer shaping complex enterprise sales for Docker’s developer tooling and security platform. Leading technical discovery, PoCs, AI governance, and container security strategy.
Responsibilities
Lead technical discovery across Platform Engineering, DevOps, Security, and AI/ML teams
Shape technical requirements early in sales cycles
Design, position, and execute structured PoCs/PoVs
Develop custom code, scripts, and integrations for customer environments
Define success criteria, evaluation frameworks, and executive-ready value summaries
Influence decision-making through demos, workshops, architecture reviews, and technical executive briefings
Translate AI security and governance capabilities into business value narratives
Advise customers on responsible AI, secure AI model lifecycle management, software supply chain integrity, container security, and DevSecOps
Guide implementation of governance controls across AI-enabled SDLC workflows
Provide architectural guidance for agentic AI environments, policy-as-code enforcement, and identity and access governance
Build and expand relationships with technical champions
Influence broader buying groups and uncover cross-sell and expansion opportunities
Maintain engagement after the initial sale
Advocate for customer needs with Product and Engineering
Coordinate with Post Sales and Support
Develop reusable technical assets such as workshops, demos, reference architectures, and enablement content
Support competitive sales motions and develop technical win strategies
Educate clients about the product roadmap and provide product training
Requirements
Proven experience as a Sales Engineer, Solutions Engineer, or Solution 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
Solid understanding of AWS, Azure, GCP, containers, DevOps, and modern application architectures
Love of developer tooling
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
Fluency in English
Excellent communication, influence, and stakeholder management skills
Willingness to travel to customer sites up to 25%
Benefits
Remote-first by design
Flexible scheduling
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
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