Senior Go-To-Market (GTM) Analytics Engineer (AI & Pipelines)
On-siteBelgrade, Central Serbia, Serbia
Job Summary
Architect and deploy Agentic Customer Data Platform capabilities to perform intelligent identity resolution, while designing LLM-powered systems to automate KPI root-cause analysis and generate business insights. Build and manage complex data pipelines processing structured and unstructured data to ensure high-fidelity inputs for the GTM data estate, integrating seamlessly with governance frameworks and systems like Salesforce, Xactly, and 6sense. Partner directly with Sales, Marketing, and RevOps leaders to translate strategic business problems into scalable, data-driven AI solutions using Python, SQL, and Databricks' lakehouse platform.
Required Qualifications
- Expert proficiency in Python
- Expert proficiency in SQL
- Experience with modern data pipelines
- Experience with Salesforce or equivalent CRM systems
- Expertise in using Databricks' lakehouse platform
- Experience with complementary AI technologies
- Strong experience in data engineering, data science, or advanced analytics
- Background working closely with B2B sales, marketing, or finance data
- Strong track record in B2B SaaS, machine learning, and generative AI deployment
Desired Qualifications
- Experience building advanced generative AI applications
- Experience building automated pipelines
- Experience building agentic solutions
- Experience architecting Agentic CDPs
- Experience driving internal Databricks on Databricks (DBX@DBX) initiatives
- Experience performing intelligent identity resolution
- Experience automating KPI root-cause analysis
- Experience generating business insights
- Experience streamlining GTM communication
- Experience ensuring high-fidelity inputs for the GTM data estate
- Experience seamlessly integrating with existing governance frameworks
- Experience understanding technology stacks and data flows between critical systems like Salesforce, Xactly, and 6sense
- Experience partnering directly with Sales, Marketing, and RevOps leaders
- Ability to turn strategic business problems into scalable, data-driven AI solutions
- Ability to work through dependencies, bottlenecks, and tradeoffs
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