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DockerDocker

Senior Technical Account Manager

Serves as a trusted post-sales technical advisor for strategic customers, driving Docker adoption, value realization, and long-term success. Requires 4+ years in a customer-facing technical role and expertise in Docker, Kubernetes, CI/CD, infrastructure as code, and cloud-native practices.

About the job

Responsibilities

Customer Success and Adoption

  • Build relationships with assigned enterprise customers, understand their technical landscapes, priorities, and success criteria.
  • Drive product adoption and operational maturity by aligning Docker capabilities with customer objectives and measurable outcomes.
  • Conduct regular technical and business reviews to demonstrate value realization and identify growth opportunities.
  • Anticipate risks and blockers and develop mitigation plans with customers and internal teams.

Technical Engagement and Collaboration

  • Serve as the primary post-sales technical contact and customer advocate, connecting feedback to Product, Engineering, and Support.
  • Partner with Solutions Engineers on handoffs from pre-sales through onboarding and ongoing success.
  • Create reusable best practices, reference architectures, and technical playbooks.
  • Provide proactive guidance on containerization, CI/CD, infrastructure as code, and developer productivity trends.

Operational Excellence

  • Maintain documentation of customer engagements, health status, and progress toward success metrics.
  • Contribute to standardized processes for onboarding, health reviews, and renewals.
  • Support scalable initiatives such as one-to-many workshops and digital enablement programs.

Requirements

  • 4+ years of experience in a customer-facing technical role, such as Technical Account Manager, Solutions Architect, DevOps Consultant, or Customer Engineer.
  • Strong understanding of Docker, Kubernetes, CI/CD, infrastructure as code, and cloud-native development practices.
  • Ability to translate technical capabilities into business outcomes and drive measurable customer value.
  • Excellent communication skills with technical and executive audiences.
  • Ability to identify patterns and build long-term strategies beyond point solutions.
  • Comfortable working cross-functionally in a global, distributed organization.

Nice-to-Haves

  • Experience with developer-first platforms or product-led growth models.
  • Familiarity with AI/ML infrastructure or agent-based development platforms.
  • Post-sales or lifecycle-management experience at an infrastructure or SaaS company.

Compensation

  • Canada: CA$201,600–CA$288,000 OTE plus equity.
  • United States: $139,125–$198,750 OTE plus equity.
  • Technology stipend equivalent to US$100 net per month.
  • Equity for full-time employees.
  • Benefits vary by country and include medical coverage, retirement plans, paid holidays, paid parental leave, paid time off, home-office support, and learning and development stipends.

Skills

Docker, Kubernetes, CI/CD, Infrastructure As Code, Cloud-Native Development, Containerization, Reference Architectures, Ai/Ml Infrastructure

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