Technical Selling and Deal Shaping
Lead deep technical discovery across Platform Engineering, DevOps, Security, and AI/ML teams to understand:
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AI governance requirements for agentic development (shadow AI, ungoverned MCP tools, agents holding real developer credentials)
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Software supply chain risk posture
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Regulatory and compliance drivers (e.g., EU AI Act, NIST AI Risk Management Framework)
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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:
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Sandbox, network, and MCP tool policy enforcement
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Image and artifact integrity (Docker Hardened Images, SLSA Build Level 3 provenance, verifiable SBOMs)
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Software supply chain visibility
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Agent and MCP tool governance controls
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:
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Responsible AI development practices
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Secure AI model lifecycle management
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Software supply chain integrity (SLSA provenance, SBOMs, verified base images)
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Container and artifact security
Guide customers in implementing governance controls across AI-enabled SDLC workflows.
Provide architectural guidance for:
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Agentic AI development environments and runtime isolation (sandboxing)
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Policy-as-code enforcement across agents, tools, and machines
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MCP tool governance and allow-listing
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Identity and access governance for AI workloads (IdP-based role and policy assignment)
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Audit, logging, and SIEM visibility for agent activity
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
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Build, own, and expand relationships with technical champions across Security, DevOps, Platform, and AI teams.
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Establish credibility as a trusted advisor through technical thought leadership, architectural guidance, and industry best practices.
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Leverage champion relationships to influence broader buying groups, shape requirements, and uncover cross-sell and expansion opportunities.
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Maintain engagement beyond the initial sale, ensuring outcomes are realized and leveraging insights to support future sales motions.
Customer and Internal Advocacy
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Advocate for customer needs with Product and Engineering, providing clear, actionable feedback informed by field experience.
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Coordinate with Post Sales and Support resources to ensure continuity across the customer lifecycle.
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Develop reusable technical assets (workshops, demos, reference architectures, enablement content) to scale impact across accounts.
Competitive and Strategic Selling
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Actively support competitive sales motions by identifying differentiation and influencing evaluation criteria throughout the sales cycle.
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Partner with Sales to develop technical win strategies for strategic and competitive accounts.