Senior Customer Engineer: AI‑Augmented Tech Architect

United States Digital Space LLC

United States

Hybrid

USD 120,000 - 160,000

Full time

4 days ago
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Job summary

United States Digital Space LLC is seeking a Customer Engineer to drive technical discovery and long-term adoption with enterprise customers. You will act as a trusted advisor, owning technical relationships across the customer lifecycle and translating product capabilities into business value.

Applicants should bring experience in customer-facing technical roles, broad technical acumen, and a commercial mindset. Proficiency in Python/JavaScript and AI-related workflows is preferred.

Qualifications

  • Experience in a customer-facing technical role.
  • Broad technical expertise across web security, networking, cloud infrastructure, and enterprise architecture.
  • Strong understanding of SaaS metrics, business value translation, and enterprise sales cycles.
  • Exceptional presentation and stakeholder management skills.

Responsibilities

  • Technical Validation: lead technical discovery, build bespoke architectures, and deliver PoCs across the portfolio.
  • Trusted Advisory: maintain deep relationships with key stakeholders from onboarding to renewal and expansion.
  • Strategic Alignment: ensure long-term technical alignment between business goals and product roadmap.
  • Commercial Accountability & Expansion: manage a quota and drive platform adoption, revenue retention, and cross-sell opportunities.
  • AI Orchestration & Workflow Automation: leverage AI agents to automate routine tasks and focus on strategic advisory.

Skills

Customer-facing experience
Technical acumen
Commercial mindset
Communication

Tools

Python
JavaScript

Job description

United States Digital Space LLC is seeking a Customer Engineer to drive technical discovery and long-term adoption with enterprise customers. You will act as a trusted advisor, owning technical relationships across the customer lifecycle and translating product capabilities into business value.

Applicants should bring experience in customer-facing technical roles, broad technical acumen, and a commercial mindset. Proficiency in Python/JavaScript and AI-related workflows is preferred.

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