Customer Experience Engineer, Cxe-T
docker
Remoto
Canada
Customer Success
Job Score
100 pts
Remote model (+90)
Customer Success (+10)
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.
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.
Responsibilities
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.
What We’re Looking For
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.
Qualifications
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.
What to Expect
First 30 Days – Technical Immersion & Signal Mapping
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.
First 60 Days – Build & Deliver Scalable Technical Impact
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.
First 90 Days – Scale, Influence & Optimize
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.
Perks
Freedom & flexibility; fit your work around your life
Designated quarterly Whaleness Days plus end of year Whaleness break
Home office setup; we want you comfortable while you work
16 weeks of paid Parental leave (after 6 months of employment)
Technology stipend equivalent to $100 USD net/month
PTO plan that encourages you to take time to do the things you enjoy
Training stipend for conferences, courses and classes
Equity; we are a growing start-up and want all employees to have a share in the success of the company
Docker Swag
Medical benefits, retirement and holidays vary by country
Remote-first culture, with offices in Seattle and Paris
Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be.
#LI-REMOTE
About Customer Success
Customer Success is the area responsible for ensuring clients achieve their goals when using the product or service. It is a strategic function for retention, expansion, and customer satisfaction.
Key skills include account management, churn analysis, NPS, onboarding, upsell, and cross-sell. Knowledge of CS tools like Gainsight, Totango, and ChurnZero is a differentiator.
CS is becoming increasingly strategic in SaaS companies, with professionals directly contributing to recurring revenue growth (MRR/ARR).
Discover Other Areas
Understand the scope of work, key skills, and tools used in different career areas.
About Backend
The Backend area is responsible for all server logic, APIs, databases, and infrastructure that support web and mobile applications. Backend professionals ensure that systems are scalable, secure, and performant.
Key skills include languages like PHP, Java, Python, Ruby, Go, and Node.js, frameworks like Laravel, Spring Boot, Django, and Express, databases (MySQL, PostgreSQL, MongoDB, Redis), software architecture (clean architecture, DDD, microservices), and API security (OAuth, JWT).
Backend developers in technology companies are highly valued, especially those who master microservices architecture, cloud computing, and high-scale performance. The field offers opportunities from junior developer to software architect, with a focus on scalability, security, and efficiency.
About Design
The Design field, especially UX/UI and Product Design, has experienced significant growth in recent years. With accelerated business digitization, the demand for professionals who can create intuitive and pleasant digital experiences has never been higher.
Key skills include Figma, Sketch, Adobe XD, user research, design thinking, prototyping, and system design. Product designers are increasingly valued for their direct impact on business results.
Remote work has opened doors for Brazilian designers to work for global companies, with competitive salaries in dollars and euros.
About Content
The Content and Social Media area is essential for building digital presence and audience engagement. Professionals create content strategies, manage social networks, and develop impactful brand narratives.
Key skills include copywriting, storytelling, community management, metrics analysis, audiovisual production, and knowledge of each platform algorithms.
With the growth of influencer marketing and social commerce, this area continues to generate new career opportunities.
About Data
The Data field has undergone a radical transformation with the rise of Generative AI. Data professionals are fundamental for evidence-based decision-making across all industries.
Key specializations include Data Engineering, Data Science, Business Intelligence, Machine Learning Engineering, and Analytics. Tools like SQL, Python, Spark, dbt, and cloud platforms (AWS, GCP, Azure) are essential.
The data market continues with high demand and salaries among the most competitive in the technology sector, with many remote work opportunities.
About Product Owner
The Product Owner (PO) is the professional responsible for maximizing the value of the product delivered by the development team. They act as the voice of the customer and stakeholders, managing and prioritizing the product backlog, defining clear user stories, and ensuring the team works on the most valuable items for the business.
Key skills include backlog management, user story writing, prioritization (Mascow, RICE), agile methodologies (Scrum, Kanban), and stakeholder communication. Knowledge of tools like Jira, Trello, Azure DevOps, and Miro is essential.
Product Owners are highly sought-after professionals in the technology market, working collaboratively with Scrum Masters, Product Managers, and engineering teams to drive agility and continuous value delivery.