Software Engineer

About this role

What You Can Expect
Design, build, and own the data pipelines, models, and products that power sales, customer success, and revenue analytics for Zoom's Go-To-Market organization. Partner with business and finance teams to build data systems that power both human analysts and AI agents. Build and ship data products end-to-end using AI-powered tools with full autonomy over the pipeline.


About The Team
We build the data foundations that power Zoom's revenue operations. Our team partners across Go-To-Market, Finance, and Engineering to deliver trusted, scalable data products for both business stakeholders and AI-driven workflows. We value curiosity, collaboration, and a shared commitment to making data accessible and actionable for every team we support.


Responsibilities

• Acting as the technical lead/primary engineer for Go-To-Market, Revenue Operations, and Sales translating complex business problems, including forecasting, attribution, and churn, into production-grade data products.
• Treating AI as core engineering multiplier: use agentic tools (like Claude Code, Cursor, and GitHub Copilot) for rapid prototyping, architecture design, refactoring, and code review. Build LLM-assisted workflows such as automated schema mapping and natural-language query layers.
• Designing and build data models (Kimball, Data Vault), scalable pipelines that ingest and transform Go-To-Market data from Salesforce, product usage, billing, and customer success systems.
• Building unified semantic layers and data marts that connect diverse source systems. Establish data contracts, schema governance, and lineage standards to ensure reliable downstream consumption.
• Balancing real-time streaming architectures (Kafka, event-driven pipelines) with modern batch warehouse patterns, working across Snowflake/Databricks, DBT, Fivetran, and Airflow.
• Applying software engineering discipline CI/CD, automated testing, version control to build data quality, observability, and...