Customer Experience Engineer, CXE-T

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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The Customer Experience Engineer – Technical (CXE-T) is a post-sales technical subject matter expert responsible for scaling deep product adoption through 1:many technical enablement, structured Proof of Concepts (PoCs), and high-impact technical assets.

Unlike traditional program or lifecycle roles, this position is focused on technical depth and applied architecture guidance. The CXE-T designs and delivers scalable technical sessions, builds reusable PoC frameworks, produces advanced technical recordings and blogs, and serves as an escalation point for non-support Solutions Engineering–type questions across customer cohorts.

This role amplifies impact across large customer populations through structured enablement systems, while occasionally leading targeted 1:1 workshops for high-impact customers or strategic technical initiatives.

1:Many Technical Enablement

• Design and deliver advanced technical sessions (webinars, live builds, architecture deep dives, workshops) for platform, DevOps, security, and engineering audiences.

• Create structured enablement series aligned to customer maturity stages (e.g., secure SDLC, supply chain hardening, container governance).

• Develop repeatable technical learning paths that drive adoption beyond initial onboarding.

Structured PoCs & Applied Architecture

• Design scalable PoC frameworks that customers can adopt independently or via cohort-based execution.

• Define technical success criteria and evaluation benchmarks for common adoption scenarios (e.g., policy enforcement, image integrity, SBOM visibility, secure pipelines).

• Translate Docker capabilities into practical architectural patterns customers can implement.

• On exception, lead 1:1 customer workshops or guided PoCs for complex or high-value technical initiatives.

Technical Content & Thought Leadership

• Produce deep technical assets:

  • Recorded walkthroughs

  • Architecture reference guides

  • Advanced implementation blogs

  • Reusable demo environments

• Build assets that directly support customer journey stages and remove common technical blockers.

• Act as a field-informed voice into Product and Engineering, surfacing real-world technical friction.

Technical Advisory & SE/SA Overflow Support

• Serve as a subject matter expert for non-support technical questions that exceed standard documentation.

• Provide architectural guidance across:

  • Secure build pipelines

  • Software supply chain integrity

  • Container security and governance

  • AI/ML workload governance (where applicable)

  • AI agent architecture patterns: isolated execution environments, MCP policy enforcement, model artifact provenance

• Partner with Sales Engineers and Post-Sales teams to ensure technical continuity without owning deal cycles.

You are a deeply technical practitioner who enjoys teaching, systematizing expertise, and scaling architectural excellence across customer populations. You prefer building reusable technical systems over repetitive 1:1 firefighting, but can step into consultative workshops when required.

Required

• 5+ years in Solutions Engineering, Technical Account Management, DevOps, Platform Engineering, or similar technical roles.

• Strong hands-on expertise in:

  • Docker and container ecosystems

  • Secure software supply chain practices

  • CI/CD pipelines and modern cloud-native architecture

• Experience designing and executing structured PoCs with defined success criteria.

• Ability to present complex technical topics clearly to senior engineering audiences.

• Strong written communication skills; experience producing technical blogs or deep technical content.

Preferred

• Hands-on experience with AI/ML development workflows, including model packaging, dependency management, reproducibility, and governance considerations within containerized environments.

• Practical Experience with AI coding agent runtimes and sandboxed execution environments (e.g., agent isolation, MCP tool governance)

• Familiarity with Docker SBX and MCP Gateway as enterprise controls for agentic AI workloads

• Familiarity with secure software supply chain practices, including SBOM generation and consumption, artifact signing, provenance (e.g., SLSA concepts), vulnerability management, and policy enforcement.

• Deep understanding of the container image lifecycle, including build optimization, image hardening, base image strategy, registry governance, promotion workflows, and lifecycle management from development through production.

• Practical experience implementing or advising on Secure Software Development Lifecycle (SSDLC) practices, including secure build pipelines, policy-as-code, compliance controls, and DevSecOps integration.

• Exposure to governance frameworks or regulatory models impacting modern development environments (e.g., NIST guidance, EU AI Act, internal enterprise policy frameworks).

• Experience designing reusable lab environments, demo frameworks, or reference architectures for engineering audiences.

• Background in Platform Engineering, DevSecOps, or Security Architecture roles where architectural decisions directly influenced developer experience and risk posture.

• Primary Goal: Build product mastery, understand recurring customer friction patterns, and identify high-leverage enablement opportunities.

  • Deeply immerse in Docker platform capabilities across security, supply chain, governance, and developer workflows, with particular focus on AI Gov and MCP Gateway as emerging customer conversation areas ahead of GA.

  • Review existing CXE, SE, and Post-Sales materials to identify:

    • Common architectural blockers

    • Repeated SE/SA escalation themes

    • Gaps in advanced technical documentation

  • Shadow live enablement sessions and recent PoCs to understand maturity gaps.

  • Audit current technical assets (recordings, demos, blogs) for depth and reusability.

  • Define 2–3 high-impact technical themes where scalable enablement can reduce friction.

  Outcome by Day 30:

  • Clear map of recurring advanced technical questions.

  • Identified priority PoC/use-case patterns to formalize.

  • Proposed first scalable technical asset or session outline.

Primary Goal: Launch repeatable technical enablement and codify structured PoC frameworks.

• Design and deliver at least one advanced 1:many technical session (live or recorded).

• Build a structured PoC framework for a priority adoption scenario:

  • Defined success criteria

  • Clear architectural reference pattern

  • Reusable demo environment or walkthrough

• Publish at least one deep technical asset (e.g., advanced blog, architecture guide, recorded lab).

• Establish lightweight intake process for non-support technical advisory questions.

• Partner with SE/Post-Sales to ensure technical consistency across pre- and post-sales.

Outcome by Day 60:

• At least one repeatable enablement session running.

• One codified PoC pattern reusable across customer cohorts.

• Measurable reduction in repeated advanced technical questions in a target area.

Primary Goal: Operate as the recognized post-sales technical authority and multiplier.

• Deliver a structured enablement series aligned to a customer maturity theme (e.g., secure pipelines, governance implementation).

• Expand PoC frameworks into reusable “customer-ready” kits.

• Develop a technical content backlog aligned to customer journey stages.

• Contribute field-informed feedback to Product and Engineering based on:

  • Architectural friction

  • Governance gaps

  • Adoption blockers

• On exception, lead 1:1 advanced workshop or guided PoC for a high-impact customer use case.

Outcome by Day 90:

• Demonstrable lift in technical adoption across a defined customer cohort.

• Library of scalable technical assets supporting key journey stages.

• Recognized internally as the go-to SME for advanced post-sales architecture questions.

Docker does not offer visa sponsorship for this role.

Compensation & Equity

Canada: CA$142.1K – CA$223K + equity

United States: $98K – $154K + equity

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• Open vacancy: This posting is for an existing open role.

• AI in hiring: Docker may use AI-assisted tools during our recruiting process.

• Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.

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• Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.

• Flexibility that fits your life – We trust you to manage your schedule while delivering great work.

• Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.

• Home office support – Set up your workspace for comfort and success.

• Technology stipend – Equivalent to US$100 net per month to help support your work.

• Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.

• Parental leave – 16 weeks of paid parental leave after six months of employment.

• Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.

• Comprehensive benefits – Medical, retirement, and paid holidays vary by country.

• Docker swag – Because representing the whale never gets old.

Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.

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