Delivery Operations Manager
About The Position
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! At Snorkel AI, we are pioneering new approaches to data development. Are you driven by solving challenging problems and delivering exceptional results? Snorkel AI is seeking a Delivery Operations Manager. As a Delivery Operations Manager, you will manage and optimize processes, ensuring high-quality outcomes and seamless delivery. This role blends operational rigor, analytical thinking, and cross-functional collaboration, offering a unique opportunity to make a significant impact.
Requirements
- Proficiency with Google Workspace tools and strong data analysis skills.
- A proactive, results-driven mindset with creative problem-solving abilities.
- Adaptability to excel in a fast-paced, dynamic environment.
- Excellent written and verbal communication skills in English.
- Experience working with technical and non-technical stakeholders.
- The ability to work independently and collaboratively in a remote setting.
Nice To Haves
- Familiarity with data annotation pipelines and machine learning workflows.
- Experience with SQL or other database languages.
- Strong analytical and process improvement capabilities.
- A degree in an analytics-focused field (e.g., Engineering, Economics, Business) or an interest in Computer Science, Statistics, or Data Analytics.
Responsibilities
- Collaborate with Technical Delivery Manager to meet project timelines, deliverables, and quality standards.
- Engage with Expert Contributors to ensure high-quality datasets are delivered to customers.
- Conduct quality reviews to maintain data annotation accuracy and consistency.
- Monitor pipeline health and implement proactive solutions to prevent bottlenecks.
- Track project progress and performance through data analysis and reporting.
- Develop documentation for labeling guidelines and operational processes.
- Partner with stakeholders across teams to resolve blockers and sustain production efficiency.
- Provide regular updates to stakeholders on progress and key insights.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Education Level
No Education Listed
Number of Employees
101-250 employees
