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обновлено 6 дней назад

Senior GTM Analytics Engineer (AI)

Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Serbia
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR
Senior GTM Analytics Engineer (AI): Building advanced generative AI applications, automated pipelines, and agentic solutions to optimize revenue operations with an accent on data estate trustworthiness and self-serviceability. Focus on architecting Agentic CDPs, designing LLM-powered systems for KPI analysis, and driving internal data intelligence initiatives.

Location: Belgrade, Serbia

Company

Databricks is the data and AI company that provides a unified platform for data, analytics, and AI, founded by the creators of Apache Spark, Delta Lake, and MLflow.

What you will do

  • Architect and deploy Agentic Customer Data Platform (CDP) capabilities for intelligent identity resolution.
  • Design LLM-powered systems and internal agents to automate KPI root-cause analysis and generate business insights.
  • Build and manage complex data pipelines processing structured and unstructured data.
  • Ensure high-fidelity inputs for the GTM data estate while integrating with governance frameworks.
  • Collaborate with Sales, Marketing, and RevOps leaders to turn strategic business problems into scalable AI solutions.

Requirements

  • Expert proficiency in Python, SQL, and modern data pipelines.
  • Strong experience with Salesforce or equivalent CRM systems.
  • Proven track record in B2B SaaS, machine learning, and generative AI deployment.
  • Background in data engineering, data science, or advanced analytics.
  • Ability to work in a collaborative environment and manage dependencies and bottlenecks.

Culture & Benefits

  • Comprehensive benefits and perks tailored to regional needs.
  • Commitment to a diverse and inclusive work culture.
  • Opportunity to work with cutting-edge AI technologies on the Databricks platform.
  • Collaborative environment focused on innovation and data intelligence.

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