Search the 24 jobs at Snorkel AI

As a Principal Software Engineer at Snorkel AI, you will lead the design and development of customer-facing software systems for cloud-native applications, mentor engineers, and contribute to the technical vision of the company, focusing on AI data development platforms.

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 Product Marketing Manager will craft clear messaging for Snorkel Flow, create marketing assets, collaborate with teams for product positioning, support sales with training and assets, and research AI trends.

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 Head of Recruiting will manage the recruiting strategy and drive cross-functional growth, focusing on building and developing a recruiting team, implementing scalable processes, and ensuring talent acquisition aligns with the company's growth goals in the AI space.

The Head of Recruiting will oversee Snorkel AI's recruiting strategy, team development, and operational processes. This role involves partnering with executives to set the vision for talent acquisition while ensuring an efficient recruiting function to support company growth. The position requires startup experience and aims to attract top talent while ensuring continuous improvement within the recruiting team.

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 Engineering Manager will lead the AI Platform team, focusing on building innovative systems to empower users in developing AI with their data. Responsibilities include team management, architecture design, and collaboration with cross-functional teams to enhance the Snorkel Flow platform and improve customer labeling quality.

This role involves understanding users' needs, developing user personas, crafting intuitive end-to-end flows, and collaborating with engineers and other product designers. You will advocate for user-centered design techniques, conduct user research, and continually improve the design system alongside mentoring junior team members.

The role involves annotating and curating data to train and evaluate AI models, which includes labeling data, generating educational content, and conducting quality assurance. Bilingual candidates fluent in English and either Russian, Chinese, or Vietnamese with STEM expertise are sought to contribute flexibly and collaboratively in this remote position.

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.

As a Data Annotator, you will label and curate data to train AI models through tasks such as annotating images, tagging text, and generating educational content. You will ensure high-quality data for accuracy and performance in AI systems, requiring STEM expertise, attention to detail, and the ability to review your work consistently.

As a Research Engineer at Snorkel, you will innovate and implement cutting-edge research into user experiences and establish state-of-the-art approaches for data-centric model iteration and analysis. You will prototype workflows, validate your work with design partners, and contribute to novel research alongside other scientists in the field.

As a Senior/Staff Software Engineer, you will design and maintain enterprise features for the Snorkel AI platform, enhance security and observability, collaborate with enterprise customers, lead junior engineers, and participate in on-call responsibilities in a hybrid work environment.

The Product Manager will drive product activities from vision to launch for Snorkel Flow, focusing on enterprise AI. Responsibilities include understanding customer needs, executing product strategy, collaborating with cross-functional teams, and delivering solutions. The role demands strong communication skills and the ability to connect business problems to machine learning solutions.

As a Senior Frontend Engineer, you will design and develop key user interfaces for Snorkel Flow, manage deployments, analyze data, and visualize metrics. You’ll advocate for UI standards, mentor team members, and collaborate with various teams while improving product iteration.

As a Senior/Staff Software Engineer in Backend, you will own the architecture and operations of large-scale distributed systems, develop scalable backend services for ML workflows, and collaborate closely in a customer-focused environment. You'll ensure CI/CD pipelines are maintained and provide on-call support for production systems.

As a Senior Full Stack Engineer at Snorkel, you will develop features for the Snorkel Flow platform, focusing on machine learning development workflows. Responsibilities include designing interfaces, maintaining scalable services, and collaborating with cross-functional teams to enhance user experience.

The Regional Vice President will lead and develop a team of enterprise account executives, driving revenue growth and managing complex sales processes in an enterprise environment. Responsibilities include team recruitment, pipeline generation, sales strategy implementation, and collaboration with cross-functional teams.

The Data Annotator role involves labeling and curating data to train AI models, including tasks such as identifying objects in images, tagging text, and generating educational content like multiple-choice questions. This position requires attention to detail and expertise in STEM fields, with a focus on ensuring high-quality data for accurate AI model performance.