Customer Experience Engineer

This is a fully remote position, open to applicants in Canada.

📋 Description

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

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

• Develop repeatable technical learning paths aimed at promoting adoption beyond the initial onboarding phase.

• Design scalable Proof of Concept (PoC) frameworks that customers can utilize independently or through cohort-based execution.

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

• Convert Docker capabilities into actionable architectural patterns that customers can put into practice.

• Act as a field-informed representative to Product and Engineering, highlighting real-world technical challenges.

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

• Collaborate with Sales Engineers and Post-Sales teams to maintain technical continuity without managing deal cycles.

⛳️ Requirements

• Over 5 years of experience in Solutions Engineering, Technical Account Management, DevOps, Platform Engineering, or comparable technical roles.

• Strong practical expertise in:

• - Docker and container ecosystems

• - Secure software supply chain practices

• - CI/CD pipelines and contemporary cloud-native architecture

• Proven experience in designing and executing structured PoCs with clearly defined success criteria.

• Capability to present complex technical subjects effectively to senior engineering audiences.

• Excellent written communication skills; experience in producing technical blogs or in-depth technical content.

• Practical experience with AI/ML development workflows, including model packaging, dependency management, reproducibility, and governance considerations within containerized environments (preferred).

• Experience with AI coding agent runtimes and sandboxed execution environments (preferred).

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

• Comprehensive understanding of the container image lifecycle, encompassing build optimization, image hardening, base image strategy, registry governance, promotion workflows, and lifecycle management from development to production (preferred).

🏝️ Benefits

• Freedom & flexibility; tailor your work around your life.

• Designated quarterly Whaleness Days along with an end-of-year Whaleness break.

• Home office setup; we prioritize your comfort 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 for activities you enjoy.

• Training stipend for conferences, courses, and classes.

• Equity; as a growing startup, we want all employees to share in the company's success.

• Docker Swag.

• Medical benefits, retirement, and holidays vary by country.

• Remote-first culture, with offices located in Seattle and Paris.