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Technical Customer Engineer – LATAM (Remote)

Reap · Département Cerro Largo

Remote
Remote Senior 🇬🇧 English
Snowflake Metabase New Relic REST APIs Postman curl SQL system logs AI coding tools

Descripcion del puesto

About the role

Reap is seeking a Technical Customer Engineer to join its CX – Technical Support team, covering LATAM business hours. This remote position focuses on delivering high‑quality L2/L3 support for a suite of fintech products, acting as a trusted technical partner for clients across Latin America.

Key responsibilities

  • Own end‑to‑end L2/L3 technical support during the LATAM shift, triaging and resolving complex client issues.
  • Conduct deep technical investigations using Snowflake, Metabase, New Relic, and internal admin tools to pinpoint root causes.
  • Prepare structured evidence packs, Linear sub‑tickets, and impact summaries for Engineering escalations.
  • Build lasting relationships with LATAM clients, providing proactive technical guidance.
  • Identify recurring patterns, surface product gaps, and communicate risks to Engineering and Product teams.
  • Collaborate across Customer Growth, Engineering, and Product to bridge technical reality with client context.
  • Contribute to runbooks, escalation playbooks, and knowledge‑base articles.
  • Participate in P0/P1 incident response and adopt AI‑assisted investigation workflows.
  • Develop internal tools for the CX/TCX team using AI coding assistants such as Claude Code or Cursor.

Required profile

  • 5+ years in a technical client‑facing role (L2/L3 support, solutions engineering, or forward‑deployed engineering) within B2B SaaS or fintech.
  • Proactive ownership mindset – tickets are closed only when the client is satisfied.
  • Confidence communicating with senior technical stakeholders (CTOs, CEOs).

Required skills

  • Experience with Snowflake, Metabase, and New Relic for data and log analysis.
  • Strong ability to read and debug REST APIs using tools like Postman or curl.
  • Basic SQL querying skills for transaction data investigation.
  • Familiarity with system log interpretation.
  • Use of AI coding tools (e.g., Claude Code, Cursor) for building internal utilities.

Questions fréquentes

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Publicado hace 2 meses

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Département Cerro Largo