Customer Experience Engineer – Technical (CXE-T)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Customer Experience Engineer – Technical (CXE-T) (, DevOps, AI governance): Scaling post-sales technical adoption through advanced enablement sessions, structured proof-of-concept frameworks, and reusable architecture content with an accent on container security, software supply chain integrity, and cloud-native development. Focus on designing secure pipelines, governing AI agent workloads, building reusable demo environments, and solving complex technical adoption challenges across customer cohorts.
Location: Remote within England, Germany, Italy, Portugal, or Spain. does not offer visa sponsorship for this role.
Salary: €70,700–€101,000 per year plus equity.
Company
builds developer tools and secure infrastructure products including Desktop, Hub, and Scout.
What you will do
- Design and deliver advanced webinars, live builds, architecture deep dives, workshops, and structured technical learning paths.
- Create reusable proof-of-concept frameworks with clear success criteria, reference architectures, demo environments, and implementation walkthroughs.
- Produce advanced technical assets including recordings, architecture guides, blogs, and reusable demos.
- Provide architectural guidance on secure build pipelines, container governance, software supply chain integrity, and AI agent execution environments.
- Act as a technical escalation point for non-support questions and partner with Sales Engineering and Post-Sales teams.
- Surface recurring customer friction, governance gaps, and adoption blockers to Product and Engineering.
Requirements
- 5+ years of experience in Solutions Engineering, Technical Account Management, DevOps, Platform Engineering, or similar technical roles.
- Hands-on expertise with , container ecosystems, secure software supply chains, CI/CD pipelines, and modern cloud-native architecture.
- Experience designing and executing structured PoCs with defined success criteria.
- Ability to explain complex technical topics clearly to senior engineering audiences.
- Strong written communication skills and experience creating technical blogs or other deep technical content.
Nice to have
- Experience with AI/ML development workflows, model packaging, reproducibility, and governance in containerized environments.
- Experience with AI coding agent runtimes, sandboxed execution, MCP tool governance, SBX, or MCP Gateway.
- Knowledge of SBOMs, artifact signing, provenance, vulnerability management, policy enforcement, SSDLC, DevSecOps, and NIST or EU AI Act guidance.
- Experience building reusable labs, demo frameworks, reference architectures, or customer-ready technical kits.
Culture & Benefits
- Remote-first work culture with flexibility to fit work around personal life.
- Home office setup, technology stipend of $100 net per month, and training stipend.
- Quarterly Whaleness Days, an end-of-year Whaleness break, and a PTO plan.
- Sixteen weeks of paid parental leave after six months of employment.
- Equity, medical benefits, retirement support, and holidays varying by country.
Hiring process
- Expected progression includes a 30-, 60-, and 90-day plan focused on technical discovery, enablement delivery, PoC frameworks, and measurable adoption impact.
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