AI Analytics Team Lead

2 days ago

Tel Aviv, Tel Aviv, Israel Wonderful Full time ₪100,000 - ₪120,000 per year

Wonderful enables enterprises to build, test, deploy, and monitor AI agents for their most complex needs, serving customers and employees seamlessly across voice, chat, email, and back-office systems in any language or cultural context.

About Us
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Role Overview

Join our Agent Engineering org to lead the charge on monitoring, observability, and performance analytics for production AI agents.

Responsibilities:

  • Own the observability stack for our AI agents in production: build and maintain dashboards, alerts, and automated reporting using Datadog and internal tools.
  • Define and operationalize escalation policies, incident workflows, and on-call rotations across engineering and support teams.
  • Establish and scale our AI analytics discipline: define metrics, build data pipelines, and drive performance visibility in tools like Tableau and Snowflake.
  • Partner with Product, Agent Engineering, and Customer Success to ensure that agent performance meets functional, quality, and SLA expectations.
  • Proactively surface regressions, coverage gaps, and UX bottlenecks by combining telemetry, structured data, and qualitative signals.
  • Drive a culture of data-driven ownership, operational excellence, and continuous improvement.
Requirements
  • 3+ years of experience in analytics or data engineering, with a track record of building data products, dashboards, or observability systems - including 1+ year in a leadership or tech lead role.
  • Strong experience with data platforms (e.g., Snowflake, BigQuery, Athena), visualization tools (e.g., Tableau, Looker), and monitoring systems (e.g., Datadog).
  • Familiarity with defining and managing KPIs and performance metrics in complex production systems.
  • Experience setting up alerts, playbooks, escalation protocols, and on-call schedules.
  • Comfort working close to production environments, even if not coming from traditional SRE/infra roles.
  • Hands-on experience with LLM systems and/or AI agents in production environments - including understanding of their performance characteristics and failure modes.
  • Excellent collaboration and communication skills across engineering, product, and business teams.
Why Wonderful?
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