Search the 22 jobs at Snorkel AI

As an Expert Contributor, you will create and curate reasoning tasks for AI benchmarks, collaborate with a cohort to enhance dataset quality, and participate in live sessions to develop challenging questions across STEM fields. This role focuses on advancing AI by improving reasoning capabilities.

The Engineering Manager will lead the AI Platform team to develop innovative software systems for the Snorkel Flow platform, focusing on AI and machine learning models. Responsibilities include team management, architecture impact, collaboration with product teams, and contributing to the engineering culture.

As a Senior Software Engineer, you will improve the Snorkel AI developer platform for user and data management while mentoring junior engineers. Responsibilities include designing enterprise features, enhancing platform security, and collaborating with customers for high-quality solutions.

The Principal Software Engineer will shape product and technical systems, delivering major features, mentoring engineers, and aligning technical vision to meet today's AI challenges. The role involves close collaboration across teams to improve engineering practices and build custom AI solutions.

The Product Manager will drive the strategy and execution for Snorkel's AI data development platform, collaborating with cross-functional teams to address customer needs in the Data Science and Machine Learning domains. Responsibilities include product strategy, market analysis, and clear communication with stakeholders to ensure product success.

As a Senior Frontend Engineer at Snorkel, you will design and develop user interfaces for ML development, optimize performance, and provide mentorship. You will collaborate with teams to enhance product quality and advocate best practices.

As a Senior Full Stack Engineer at Snorkel, you will design and develop key interfaces for Snorkel Flow, optimize scalable services for ML workflows, and ensure a top-notch user experience. You will collaborate with product managers, designers, and engineers, owning the full stack development cycle.

As a Senior/Staff Software Engineer, you will design, develop, and maintain scalable backend systems for AI/ML applications. Responsibilities include prototyping back-end services, managing data storage, and ensuring CI/CD pipeline health, all while collaborating with cross-functional teams.

The Technical Program Manager will oversee the development of technology and workflows, support Operations Managers through resource management, design dashboards and reporting pipelines, standardize SOPs across projects, and monitor program performance metrics. The role is focused on driving operational efficiency and scalability.

The Technical Program Manager at Snorkel AI will oversee the development of technology and workflows to optimize operations. Responsibilities include designing operational processes, monitoring program performance, and collaborating with various teams to enhance resource utilization. This role requires an entrepreneurial mindset, proficiency in SQL, and experience in program management to ensure operational efficiency.

The Software Engineer on the Forward Deployed ML team will collaborate with the Ops team to develop innovative ML solutions for data annotation and quality checks. Responsibilities include rapid prototyping, scripting, dashboarding, and ensuring efficient delivery of projects that leverage the company's core AI platform.

As a Product Marketing Manager at Snorkel AI, you will develop marketing strategies and content focused on AI data development, craft messaging, support sales enablement, conduct market research, and collaborate with various teams to drive awareness of Snorkel Flow.

The Product Manager will lead the product strategy and execution for Snorkel Flow, collaborating cross-functionally to understand customer needs in the Data Science and Machine Learning domains, and effectively integrate those requirements into the development of a cutting-edge AI data platform.

The RVP - Enterprise Sales is responsible for leading and developing a high-performing sales team, achieving revenue targets, and ensuring effective pipeline generation. This role requires recruiting top sales talent, navigating complex sales environments, and collaborating with internal teams to drive success in the Eastern United States.

The Data Annotator will label and curate data for training AI models, focusing on multimodal data (text and images), generating educational content, and performing quality assurance on annotations. The role is flexible and allows for task-based work to impact AI developments.

The Product Marketing Manager at Snorkel AI will craft compelling messaging for AI data development, create marketing assets, and support sales enablement. The role involves collaboration with various teams and market research to understand AI trends and customer adoption.

The Product Marketing Manager at Snorkel AI will craft compelling marketing messages, create external marketing assets, collaborate with various teams, and conduct market research on AI trends. The role requires strong communication skills and a technical understanding of AI and Generative AI.

The Engineering Manager will lead the AI Platform team, focusing on building and deploying innovative AI systems while collaborating cross-functionally to fulfill user needs. Responsibilities include team management, system architecture, and improving product workflows.

The RVP - Enterprise Sales is responsible for leading and developing a team of enterprise account executives, driving revenue growth, managing complex negotiations, collaborating with cross-functional teams, and implementing a value-based selling approach. The role requires strong recruitment skills and a focus on achieving sales targets in a fast-paced environment.

The Technical Program Manager will oversee program infrastructure and enablement, focusing on technology, SOPs, and resource management to enhance operational efficiency. Responsibilities include designing workflows, collaborating on data visibility dashboards, and refining SOPs for scalability while monitoring program performance metrics.