Senior Go-To-Market Analytics Engineer
Builds generative AI applications, agentic solutions, and structured and unstructured data pipelines that improve revenue operations. The role requires strong Python, SQL, Databricks, CRM, machine learning, and generative AI experience, plus familiarity with B2B sales, marketing, or finance data.
About the job
Responsibilities
- Architect and deploy Agentic Customer Data Platform (CDP) capabilities for intelligent identity resolution and automated data enrichment of 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 pipelines processing structured and unstructured data, with high-fidelity inputs and integration with data governance frameworks.
- Understand data flows across Salesforce, Xactly, and 6sense to support a unified data architecture.
- Partner with Sales, Marketing, and RevOps leaders to turn strategic business problems into scalable, data-driven AI solutions.
Requirements and Qualifications
- Expert proficiency in Python, SQL, and modern data pipelines.
- Experience with Salesforce or equivalent CRM systems.
- Experience with Databricks’ lakehouse platform and complementary AI technologies.
- Strong experience in data engineering, data science, or advanced analytics.
- Experience working with B2B sales, marketing, or finance data.
- Track record in B2B SaaS, machine learning, and generative AI deployment.
- Ability to work collaboratively, translate needs into deliverables, and manage dependencies, bottlenecks, and tradeoffs.
Skills
Python, SQL, Databricks, Data Pipelines, Salesforce, Xactly, 6Sense, Machine Learning, Generative AI, LLMs, Agentic Cdp, Identity Resolution, Data Governance, B2B SaaS
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