Senior Support Engineer - AI-Driven Escalations & Impact

Afresh Technologies

United States

Hybrid

USD 150.000 - 210.000

Vollzeit

Vor 7 Tagen
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Benefits dieser Stelle

Health plans
Parental leave
Equity packages
401k matching
Flexible vacation policy
Professional development program
Work from home stipend

Zusammenfassung

Afresh Technologies, a leader in fresh grocery technology, seeks a Principal Support Engineer to own the most complex escalations and drive end-to-end investigations across all Afresh products. You will build agentic AI workflows and tooling, ship Claude skills for Tier 1 resolution, and coordinate data-issue investigations across 200 products.

You will mentor engineers, define success metrics, and present findings to Product and Data Engineering leadership, contributing to strategic OKRs and

Qualifikationen

  • 5+ years in technical support engineering, solutions engineering, data engineering, or equivalent role with root-cause ownership.
  • Ability to own complex cross-functional initiatives end-to-end and secure commitments.

Aufgaben

  • Own the most complex escalations end-to-end across Afresh products.
  • Build tooling and AI workflows to deflect future volume.
  • Lead cross-functional investigations with Solutions Engineering, Data Engineering, Product Engineering, and Operations.
  • Mentor Tier 1/2 engineers and contribute to playbooks and docs.
  • Present root-cause analyses and measured impact to leadership.

Kenntnisse

SQL
Python
Databricks
Looker
AI tools (Claude, Stylo)
Root-cause analysis

Tools

Zendesk
Stylo

Jobbeschreibung

Afresh Technologies, a leader in fresh grocery technology, seeks a Principal Support Engineer to own the most complex escalations and drive end-to-end investigations across all Afresh products. You will build agentic AI workflows and tooling, ship Claude skills for Tier 1 resolution, and coordinate data-issue investigations across 200 products.

You will mentor engineers, define success metrics, and present findings to Product and Data Engineering leadership, contributing to strategic OKRs and

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