Jobs at Snorkel AI

The Staff Product Designer builds prototypes with AI tools, collaborates with engineers, and shapes design to enhance system behavior and user feedback processes.

The Senior Operations Manager, Growth will own and scale paid acquisition strategies for sourcing expert contributors, ensuring alignment with demand signals and reporting on campaign performance.

The Manager of Revenue Accounting will oversee revenue recognition processes under ASC 606, manage billing, and enhance revenue systems in a cross-functional role.

The Accounts Receivable Specialist will manage billing and collections processes for enterprise customers, ensuring timely invoicing and cash collections. Responsibilities include invoice preparation, navigating customer payment portals, and improving billing workflows while maintaining records in QuickBooks Online.

The Staff Product Manager will own the expert contributor product ecosystem, define product strategy, optimize marketplace outcomes, and collaborate with various teams to enhance user experience and operational efficiency.

As a Staff Backend Engineer, you will design and develop systems for the Expert Contributor lifecycle, manage complex architectural initiatives, and mentor engineers while ensuring high-quality data management and user experience.

The Senior/Staff Research Scientist will design datasets, collaborate on benchmarks, communicate findings, and represent the company in external research. Focus on AI, ML evaluation, and cross-functional collaboration is essential.

The Research Scientist will focus on reinforcement learning for training large language models, designing data pipelines, and translating research into products, contributing to Snorkel's capabilities and research agenda.

The Operations Manager will support expert contributor acquisition, manage partnerships, improve operational processes, and track supply growth metrics in a cross-functional role.

The Deal Desk Manager will oversee the entire deal lifecycle, partnering with Sales, Finance, and Legal to streamline processes, maintain Salesforce accuracy, and implement scalable deal operations.

The GTM Engineer will design and implement automated workflows and AI-enabled processes to streamline operations across Sales, Marketing, and Revenue teams, improving efficiency and data management.

Design and develop core platform features for synthetic data generation, LLM operations, and agentic workflows. Oversee API design and scalable compute services, enhancing AI model performance for enterprise clients.

Lead a team in developing data-centric AI systems, bridging research and product, and ensuring operational excellence in AI projects.

The Software Engineer will build and maintain data infrastructure, implement event-driven data flows, enhance data governance, monitor performance, and optimize costs.

Lead the Forward Deployed Engineering function, overseeing technical execution of data services and building a high-performing engineering team focused on AI data pipelines and workflows.

As a Research Scientist, design, implement, and validate AI techniques, prototype systems, and convert research into practical applications while collaborating with industry partners.

The Senior/Staff Research Scientist will develop and implement AI techniques, prototype solutions, and collaborate with teams to apply research in real-world settings.

The Senior Business Operations Manager will lead cross-functional initiatives, drive structured decision-making, and develop measurable outcomes to support business growth.

The Revenue Operations Lead will collaborate with GTM leadership to create operational plans, manage performance, and provide analytical insights to support business growth and execution.

The Applied Research Engineer will manage and build GPU cluster infrastructure for AI model training, ensuring reliable operations and scalable systems.