Senior Go-To-Market (GTM) Analytics Engineer (AI & Pipelines)

Databricks
Belgrade
Workplace: OnsiteFull timeFunction: Data Analytics & Business IntelligenceSkills: ["Collaboration","Execution mindset","Translating needs into deliverables","Managing dependencies","Working through tradeoffs"]

Build AI/agent-driven solutions for GTM revenue operations, including Agentic CDP identity resolution and LLM-powered systems that automate KPI root-cause analysis and generate business insights. Own development of high-fidelity data pipelines for structured and unstructured data and integrate GTM systems like Salesforce, Xactly, and 6sense. Partner with Sales, Marketing, and RevOps leaders to deliver scalable, data-driven automation for Databricks on Databricks initiatives.

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FursaFursa
Databricks
Databricks
2 days ago

Senior Go-To-Market (GTM) Analytics Engineer (AI & Pipelines)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Build AI/agent-driven solutions for GTM revenue operations, including Agentic CDP identity resolution and LLM-powered systems that automate KPI root-cause analysis and generate business insights. Own development of high-fidelity data pipelines for structured and unstructured data and integrate GTM systems like Salesforce, Xactly, and 6sense. Partner with Sales, Marketing, and RevOps leaders to deliver scalable, data-driven automation for Databricks on Databricks initiatives.
Location: Belgrade
Workplace: Onsite
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Architect and deploy Agentic CDP capabilities for intelligent identity resolution and automated data enrichment for accounts and contacts.
  • •Design LLM-powered systems and internal agents to automate KPI root-cause analysis, generate business insights, and streamline GTM communication.
  • •Build and manage complex data pipelines for structured and unstructured data inputs, integrating with existing governance frameworks.
  • •Ensure unified GTM data architecture by understanding and integrating data flows between systems such as Salesforce, Xactly, and 6sense.
  • •Partner with Sales, Marketing, and RevOps leaders to turn business problems into scalable, data-driven AI solutions.

Key Requirements

  • •Expert proficiency in Python and SQL with modern data pipeline development.
  • •Experience with Salesforce or an equivalent CRM system.
  • •Hands-on work using Databricks lakehouse for production-grade solutions, including complementary AI technologies.
  • •Strong background in data engineering, data science, or advanced analytics, especially with B2B sales, marketing, or finance data.
  • •Track record in B2B SaaS, machine learning, and generative AI deployment with an execution-oriented mindset.
Experience:B2B SaaSMachine learningGenerative AIData engineeringData scienceCRM
Skills:CollaborationExecution mindsetTranslating needs into deliverablesManaging dependenciesWorking through tradeoffs
Languages:English
Tech Stack:PythonSQLDatabricksLakehouseLLMsSalesforceXactly6senseAgentic CDPIdentity resolutionGenerative AIMachine learningDelta LakeMLflowApache Spark

Company Brief

Databricks
Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2013
WebsiteLinkedIn