Resumo da vaga

Supportability Engineer 3

Requisitos e responsabilidades

Conteúdo da vaga extraído em seções para revisão mais rápida.

Details

  • Embed customer supportability requirements into the earliest stages of the Product Development Lifecycle (PDLC) by participating in design reviews and technical planning with R&D.
  • Analyze support data and customer feedback to construct evidence-based business cases that influence R&D to prioritize certain improvements.
  • Provide specifications for proactive product features (such as clearer error messages and diagnostic tools) to reduce friction and deflect potential support tickets.
  • Orchestrate the Global Ops readiness strategy for new features, ensuring Frontline Support and Ops teams are equipped with the necessary training, documentation, and tooling prior to launch.
  • Collaborate with R&D to translate complex customer use cases into actionable requirements that ensure long-term product health.
  • 5+ years of experience in Technical Support, Product Operations, Technical Account Management, or Engineering, with a specific focus on complex technical products (APIs, SaaS, or Telecommunications).
  • Experience working within the technology industry (Including APIs and VOIP) in either a development or support capacity. Familiarity with customer or consumer trust application(s) and systems preferred.
  • Proven analytical skills with experience using data tools (such as Splunk, DataDog, Snowflake, SQL, or Tableau) to derive actionable insights from customer feedback and support trends.
  • Excellent communication and influence skills, with the ability to advocate for customer needs to technical stakeholders and negotiate prioritization of supportability features.
  • Experience with project management methodologies or experience managing programs/product launches
  • Proficiency in a scripting or programming language (Python, Java, Node.js) to better understand the developer experience.
  • Knowledge of Design Thinking or User Experience (UX) principles to identify friction points in customer journeys.
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