Revenue Data Integrity Associate
CoreWeavePhiladelphia, PA / New York, NY $65k – $95kPosted 13 March 2026
Job Description
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com .
CoreWeave is the AI Hyperscaler™, delivering a cloud platform of cutting edge services powering the next wave of AI. The company’s technology provides enterprises and leading AI labs with the most performant, efficient and resilient solutions for accelerated computing. Since 2017, CoreWeave has operated a growing footprint of data centers covering every region of the US and across Europe. CoreWeave was ranked as one of the TIME100 most influential companies of 2024.
As the leader in the industry, we thrive in an environment where adaptability and resilience are key. Our culture offers career-defining opportunities for those who excel amid change and challenge. If you’re someone who thrives in a dynamic environment, enjoys solving complex problems, and is eager to make a significant impact, CoreWeave is the place for you. Join us, and be part of a team solving some of the most exciting challenges in the industry.
CoreWeave powers the creation and delivery of the intelligence that drives innovation. To learn more about our values, please visit our careers website .
What You’ll Do
Want to learn how revenue actually moves through a company — not just how it’s sold, but how it’s booked, billed, and trusted? We’re looking for a Revenue Data Integrity Associate to help keep our revenue data clean, accurate, and ready to scale. In this role you’ll work closely with Revenue Operations, Sales, and Finance to review closed deals, ensure Salesforce data is complete and correct, and help prevent small issues from becoming big problems downstream.
This is a hands-on, detail-oriented role with real visibility into how deals flow from close to invoice. You’ll develop a deep understanding of revenue operations, data quality, and cross-functional processes — and you’ll play a meaningful role in improving how the business runs every day.
If you’re organized, curious, and take pride in getting things right, this role offers an excellent foundation for a career in Revenue Operations, Deal Desk, or Revenue Systems.
Responsibilities
Define and monitor “critical fields” and data standards across core objects
Build dashboards and audits for completeness, consistency, duplicates, and trend analysis
Manage duplicate strategy (rules, merging approach, governance)
Perform strategic data enrichment activities to build account intelligence
Support key data migration efforts from current future acquisitions
Partner with systems team on targeted validation rules, layouts, and permission hygiene
Run monthly “defect review” and root-cause action planning
Maintain a controls catalog and change management process
Perform Revenue Readiness checks for closed-won deals (terms, dates, SKUs, pricing, billing info)
Coordinate corrections with Sales, Deal Desk, and RevOps (fast turnaround)
Maintain readiness checklist and continuously improve it based on failure patterns
Track and report defect trends; recommend training and controls
Create “clean close” enablement assets and feedback loops to sellers/managers
Maintain documentation and change control process
Support reporting fixes and object hygiene initiatives
Investing in our people is one of our top priorities, and we value candidates who can bring their diversified experiences to our teams. Here are some qualities we’ve found compatible with our team. We'd love to talk about whether this aligns with your experience and interests and what you’re excited to work on n ... (truncated, view full listing at source)
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