About the role
About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!
About
the Role As an Operations Manager at Snorkel AI, you will own the operational backbone of our Solutions AI delivery organization. You will be accountable for putting the right people on the right work, maintaining clear visibility into execution and financial performance, and driving alignment across pipeline, staffing, delivery, and revenue. You will build the systems, processes, and operating rigor required to scale a high-performing Professional Services organization. Main
Responsibilities Own capacity planning and staffing for the Solutions AI Engineers in Float, aligning resources to projects based on skills, priority, and availability Build and maintain capacity and revenue forecasts based on pipeline, active projects, and hiring plans Run scenario planning to identify hiring needs, capacity gaps, and delivery risks Translate Salesforce (MEDDIC) pipeline into staffing plans and hiring signals, ensuring alignment between demand and capacity Partner with Engagement Managers during deal formation to validate scope, resourcing, timelines, and margin assumptions Ensure accurate timesheet submission, utilization tracking, and operational compliance across the delivery organization Define standards for project setup, tracking, and reporting to ensure consistent execution across engagements Establish operating cadences (e.g., weekly project and portfolio reviews) to ensure consistent execution Maintain accurate project and portfolio reporting, including execution status, burn, margin, capacity, and delivery risks Partner with Finance to ensure accurate revenue recognition, forecasting, and auditability of delivery data Own reporting and dashboards for core PS metrics, ensuring a single source of truth across systems Own data quality and consistency across Float, Jira, and Salesforce Standardize workflows across Float, Jira, and Salesforce; improve data quality Minimum
