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 monitoring frameworks; mentor peers, contribute to documentation and governance reviews.

What we’re looking for

• Have a Bachelor's in Computer Science or Software Engineering. Brings 6+ years of experience in software engineering, data architecture, or forward-deployed engineering and a track record of shipping production-grade data systems.

• Have expert proficiency in Python and advanced SQL, hands-on experience in cloud data warehouses or lakehouses (Snowflake, Databricks), transformation tooling (dbt), and orchestration (Airflow, Dagster).

• Demonstrate excellent background in data modeling methodologies (Kimball, Data Vault, dimensional modeling, semantic layer design) applied to complex enterprise domains. Ideally revenue operations or Go-To-Market contexts such as Salesforce, marketing automation, or product telemetry.

• Demonstrate use of AI coding tools (such as Claude Code, GitHub Copilot, Cursor) and agentic workflows as an integrated part of daily engineering. Not just experimentation along with genuine interest in embedding LLMs into data workflows (text-to-SQL, automated cataloging, generative data quality testing).

• Work knowledge of real-time event streaming and ingestion architectures (Kafka, event buses, webhooks), familiarity with modern software practices including CI/CD, containerization (Docker), and test-driven development.

• Have a forward-deployed mindset consultative, resilient in ambiguity, and focused on user impact and delivery speed. With the ability to communicate complex architectural trade-offs clearly to non-technical stakeholders while maintaining credibility with engineering teams.

Salary Range or On Target Earnings:

Minimum:

Maximum:

In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.

Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.

We also have a location based compensation structure;  there may be a different range for candidates in this and other locations

At Zoom, we offer a window of at least 5 days for you to apply because we believe in giving you every opportunity. Below is the potential closing date, just in case you want to mark it on your calendar. We look forward to receiving your application!

Ways of Working
Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.

Benefits
As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Click Learn for more information.

About Us
Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.
We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.

Our Commitment

At Zoom, we believe great work happens when people feel supported and empowered. We’re committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know—we’re here to support you at every step.

If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.

Our interviews are supported by BrightHire, a tool that helps us create a consistent and thoughtful interview experience and may include recordings. Please refer to our candidate privacy statement for more information of how we use your data.