Snorkel AI

AI Advocate role focused on open-source and research communities, acting as the primary technical voice for Snorkel AI. Responsibilities include creating technical content, leading open-source efforts, advancing AI evaluation and benchmarking, driving conference presence, and partnering with research teams. The role emphasizes translating Snorkel's data-centric AI methodology into practical applications and community engagement.

Research Scientist role focused on designing datasets for frontier model training and evaluation, translating benchmark insights, and staying at the forefront of LLM evaluation research. This is a customer-facing role that collaborates cross-functionally and influences company roadmap and external research.

Research Scientist role focused on reinforcement learning for training and aligning large language models, with a mission to transform expert knowledge into specialized AI at scale for enterprises. The role involves researching and implementing RL techniques, designing data pipelines for training signals, prototyping RL training recipes, and contributing to customer-ready data products.

Research Scientist at Snorkel AI focused on designing, implementing, and validating novel AI techniques for data development, such as synthetic data generation using LLM as a Judge. The role involves prototyping and building end-to-end workflows, integrating research into scalable systems, and collaborating with partners to test solutions in applied settings. Emphasis on rapid iteration and driving innovation from research into production.

The role focuses on building and operating the infrastructure for model training and evaluation, including GPU clusters, training pipelines, and orchestration systems. It involves managing ML frameworks, experiment tracking, and ensuring reliable, scalable execution of training jobs.

This role focuses on partnering with frontier AI research labs to design datasets and environments that improve model performance. It involves scoping training data needs, designing RL environments, developing evaluation frameworks, probing model behavior, and translating research objectives into technical plans. The role is customer-facing and requires strong technical and research credibility.

Research Scientist role focused on designing, implementing, and validating novel AI techniques for data development, such as synthetic data generation using LLM as a Judge. The role involves prototyping and building end-to-end workflows, integrating research ideas into scalable systems, and collaborating with partners to productionize prototypes. Emphasis on applied research and system-building in an enterprise AI context.

Senior AI/ML Engineer to join the AI Platform team, focusing on distributed systems, LLM infrastructure, synthetic data generation, and agentic orchestration. The role involves architecting the core platform, designing APIs and compute services, generating synthetic data, creating and evaluating agentic systems, provisioning RL training environments, deploying benchmarks and labeling pipelines, and running LLMs efficiently.

Director, Forward Deployed Researcher on the Data-as-a-service team. This player-coach role involves people leadership (hiring, coaching) and hands-on technical work on strategic accounts, focusing on data problems for frontier AI labs. Responsibilities include scoping training data needs, designing RL environments, developing evaluation frameworks, and translating research objectives into technical plans. The role requires partnering with sales leadership and cross-functional teams, setting technical bars, and building scalable processes.

Lead a forward-deployed engineering team focused on building and delivering high-quality datasets for AI initiatives. This involves defining data quality, implementing workflows, enhancing human-in-the-loop techniques, and owning systems for scalable data delivery. The role sits at the intersection of data engineering, ML engineering, and customer engagement, requiring strong leadership and hands-on technical skills in LLM-based workflows.

Senior Product Manager at Snorkel AI to lead development for agentic data systems, synthetic data systems, evaluations, and data-acceleration initiatives. The role involves defining product vision, roadmap, and execution plans for intelligent workflow systems, optimizing data pipelines, and improving task quality. Key responsibilities include owning the product vision for task and evaluation products, leading evaluation initiatives, defining performance metrics, building recommendation systems for task matching, and supporting enablement efforts.

Snorkel AI is seeking a Senior Manager of Research to lead a team focused on data-centric research for next-generation foundation models. The role involves team building, frontier data research, strategic roadmapping for AI data bottlenecks, and operational excellence. The ideal candidate has 5+ years in applied AI/ML research, 4+ years managing technical teams, and practical experience with LLMs and agentic workflows.

Applied AI Engineer at Snorkel AI, focusing on building and deploying Gen AI and ML solutions for customers, leveraging Snorkel Flow or custom approaches. Responsibilities include developing RAG, fine-tuning pipelines, prompt engineering, agentic workflows, creating datasets and evaluation workflows, and collaborating with customers and product teams. The role emphasizes bridging AI technology with business value and standardizing solutions into platform capabilities.

Applied AI Engineer role focused on building and deploying Gen AI and ML solutions for enterprise customers, leveraging Snorkel Flow or custom approaches. Responsibilities include customer partnership, developing RAG, fine-tuning, prompt engineering, and agentic workflows, creating datasets and evaluation workflows, and standardizing solutions into reusable recipes and platform capabilities. The role emphasizes a data- and evaluation-first mindset and bridging the gap between AI technology and business value.

This role leads high-stakes Data-as-a-Service programs end-to-end, acting as the CEO of the program. It involves owning the P&L, managing stakeholders (clients, internal teams, expert contributors), designing training data programs, developing and scaling the contributor network, building systems from scratch, monitoring performance, driving communications, managing data flows, and operating with urgency to ship better models. The role requires ML intuition for training data quality and evaluation design, and strong operational skills for managing complex programs at scale.

Senior Full Stack Engineer to build and maintain an Expert Data Collection Platform that enables domain experts to provide high-signal data for training and refining AI models. The role involves end-to-end feature development, scalable service optimization, and user-focused interface design.

Manager for Forward Deployed Engineering (FDE) within the Data-as-a-Service (DaaS) organization. This role leads a team responsible for the technical execution of DaaS delivery, owning systems, workflows, and quality frameworks for high-quality dataset production at scale. Responsibilities include building and leading the FDE function, defining its operating model and roadmap, hiring and mentoring engineers, owning AI data pipelines (generation, evaluation, quality), driving ML-assisted and HITL workflows, establishing measurement and benchmarking systems, and developing internal tooling. The role requires strong hands-on technical depth in AI/ML/GenAI engineering, experience leading engineers, building/operating production ML/LLM workflows, proficiency in Python/SQL, and experience with evaluation frameworks.

Partner with Sales to lead technical discovery, solution scoping, and demo development for GenAI and ML solutions, translating customer needs into technical proposals and driving adoption of AI.

Snorkel AI is seeking a Forward Deployed Engineer to work on AI/ML data products for enterprise clients. This role involves end-to-end ownership of the AI data pipeline lifecycle, including developing and deploying ML-based workflows, building HITL data generation and review processes, generating synthetic datasets, and packaging production-grade datasets. The engineer will also define production specifications, build evaluators, design quality measurement systems, and perform custom model benchmarking.

Snorkel AI is seeking a Technical Delivery Manager (TDM) to lead high-stakes Data-as-a-Service programs end-to-end. This role involves owning the program's success, including P&L, quality, timelines, and margin. The TDM will translate technical requirements into executable programs, design training data programs with clear task definitions and evaluation criteria, develop and scale the Expert Contributor Network, build and harden workflows and quality systems, monitor performance with data-driven insights, and manage internal/external communications. The role requires ML intuition for training data and evaluation, comfort with data manipulation (SQL, JSON, Python), and a strong bias for action in ambiguous, fast-changing environments.

Staff Backend Engineer at Snorkel AI responsible for setting technical direction and strategy for the Expert Contributor (EC) Platform, focusing on the end-to-end EC lifecycle, including automated onboarding, performance management, and contributor retention. The role involves building robust features, integrating with third-party services, automating supply and allocation logic for ECs, prototyping and optimizing data user management pipelines, and setting strategy for build systems and CI/CD. This role also involves mentoring engineers and partnering with cross-functional teams to improve dev-infra, release processes, and internal tooling, with a focus on enabling domain experts to provide data for AI training and refinement.

This role is a Senior Business Operations Manager at Snorkel AI, a company focused on helping enterprises transform expert knowledge into specialized AI at scale using their data. The role reports to the VP of Business Operations and is crucial for scaling the company's growth. It involves partnering with leaders across the company to address strategic problems, develop operating systems, and drive measurable outcomes. Responsibilities include strategic planning, cross-functional initiatives, analytics, and establishing operating cadences. The ideal candidate has strong business judgment, entrepreneurial drive, technical capability to build prototypes, and experience in scaling businesses. The role requires building on existing data infrastructure to create dashboards and reporting, translating messy data into clear recommendations, and designing scalable systems and processes.

This role leads and scales the Engagement Management function for Snorkel AI's Data-as-a-Service business, focusing on customer outcomes, consumption, and revenue realization. It involves building and managing a team, setting strategy, and partnering with Sales, Product, and Engineering to drive growth and customer success in a technical/data-driven environment.

Engagement Manager for Data-as-a-Service at Snorkel AI, focusing on customer outcomes, revenue realization, and driving consumption of DaaS offerings. This role partners with Sales, Delivery, Product, and Engineering to manage enterprise customer relationships from pilot to production, ensuring successful delivery and sustained customer value. Requires experience in customer success or account management in technical/data-driven environments.

Staff Software Engineer for Core Services at Snorkel AI, focusing on building and maintaining the data platform that powers the company's AI solutions. This role involves designing event-driven data flows, implementing data governance and lineage tracking, instrumenting the platform for observability, and optimizing infrastructure costs. The engineer will also contribute to modernizing CI/CD and integrating AI SRE tooling, shaping the AI-native development workflow.

This role is for a Senior Operations Manager focused on scaling Snorkel AI's paid acquisition engine for their Data-as-a-Service (DaaS) business. The DaaS business sources expert contributors for AI training work. The manager will own the paid acquisition strategy, manage ad channels, develop forecasting models, and design performance dashboards. The role requires experience in growth operations, performance marketing, and managing cross-functional teams, with a strong analytical background using SQL.

Product Designer role focused on building prototypes with AI tools and code, understanding AI system behavior (prompting, evaluation, feedback loops), and designing user experiences for AI-powered products, particularly in enterprise settings. The role emphasizes collaboration with engineers and a deep understanding of complex systems and user workflows.

Software Engineer for Core Services team at Snorkel AI, focusing on building and maintaining the data platform that powers Snorkel's AI solutions. This role involves designing event-driven data flows, implementing data governance and lineage tracking, instrumenting the platform for observability, and optimizing infrastructure costs. The position emphasizes working with Python, SQL, AWS, Kubernetes, and data orchestration tools, while also integrating AI SRE tooling and AI-assisted development workflows.

Regional Sales Director for Snorkel AI, a company focused on data for AI. The role involves leading a sales team, driving pipeline generation, and coaching reps on selling complex technical solutions, particularly to AI-native buyers. Requires significant sales leadership experience and experience selling technical solutions.

Account Executive for Data-as-a-Service (DaaS) at Snorkel AI, focusing on selling to AI/ML leaders and organizations building AI capabilities. The role involves managing the full sales cycle, building pipeline, and diagnosing customer challenges related to data, model development, and production AI workflows. Requires 5+ years of quota-carrying experience in complex, technical sales environments.

Senior Backend Engineer at Snorkel AI responsible for building and maintaining the Expert Contributor (EC) Platform, which enables domain experts to provide high-signal data for training and refining AI models. The role involves designing and developing mission-critical systems for the EC lifecycle, including onboarding, performance management, and integrations with third-party services. Focus on automating supply and allocation logic for a high volume of ECs and managing data user pipelines.

This role is for a Senior Software Engineer on the Developer Experience team, focusing on building and improving the AI-native development environment, CI/CD platforms, and AI SRE tooling. The goal is to accelerate developer velocity, reliability, and product quality. The role involves setting strategy, owning the CI health and release pipeline, and championing AI-native workflows. It offers a path to Tech Lead Manager.

This role focuses on refining and evolving testing infrastructure and tooling to accelerate engineering velocity and product quality for an AI data company. The engineer will design, implement, and maintain automated testing systems, create internal tools to improve developer productivity, and partner with DevOps to optimize CI/CD pipelines. The company's mission is to help enterprises transform expert knowledge into specialized AI at scale.

IT Operations Engineer responsible for providing Tier 1/2/3 support, automating IT processes using AI agents and scripting, leading SOC2 compliance technical execution, managing core IT tools, improving AI-driven support bots, and maintaining office infrastructure. Requires 6+ years of IT experience, expertise in Okta, Jamf Pro, Crowdstrike, Cisco Meraki, Google Workspace, and proficiency in Python or Bash.

Security Engineer to enhance Snorkel's security posture across cloud infrastructure, developer platform, and product ecosystem. Responsibilities include securing cloud environments, building security automation, guiding cross-functional initiatives, and embedding security into engineering workflows. The role involves working across infrastructure, platform, product, and application teams to ensure secure scaling and compliance in cloud-native environments. Requires strong fundamentals in cloud security and motivation to grow.

Account Executive for Snorkel AI, focusing on federal agencies to deploy AI systems using a data-centric approach. The role involves driving sales cycles, building credibility with technical and mission stakeholders, and managing complex federal buying environments to deliver AI capabilities and measurable outcomes.

This role is for a Senior Analytics Manager within Snorkel AI's Data-as-a-Service (DaaS) business. The primary focus is on being the analytical backbone for the Delivery organization, defining performance metrics, building dashboards, and providing insights to leadership for operational health and scalability. The role involves partnering with various teams (Delivery, Supply, GTM, Data) to ensure operational metrics are clear, analytics systems are scalable, and leadership has the necessary insights for capacity management and performance tracking. The core responsibility is translating operational complexity into structured metrics and actionable insights to enable high-quality execution.

This role is for a Lead Field Marketing & Events Manager at Snorkel AI, a company focused on enterprise AI data. The primary responsibility is to own and execute the company's in-person and hybrid event strategy, including planning, managing, and executing various events to drive lead generation, strengthen the AI community, and amplify Snorkel's market presence. The role involves partnering with sales, partnerships, research, and marketing teams, managing budgets, and coordinating cross-functionally. While the company is in the AI space, the role itself is focused on marketing and events, not direct AI/ML development or research.

This role is for a Principal Growth Marketing Manager at Snorkel AI, a company focused on data-centric AI for enterprises. The position involves designing and executing modern, full-stack growth strategies that go beyond traditional demand generation. The manager will leverage creative storytelling, rigorous experimentation, data fluency, product signals, community engagement, and AI-native tooling to reach technical buyers and accelerate pipeline. Responsibilities include developing innovative campaigns, running experiments, generating signal-based pipeline, executing ABM, and analyzing attribution. The ideal candidate has extensive experience in growth marketing, a track record of driving pipeline and revenue, comfort with data and marketing tools, and a passion for AI.

Senior Product Manager to own the core platform that powers all data operations across Snorkel's ecosystem. This platform enables experts to efficiently produce high-quality data, supports internal operations at scale, and provides reliable APIs and SDKs for customers. The role involves defining platform strategy, setting the roadmap, and partnering with Engineering, Research, and Operations to build scalable, reliable systems.

Product Manager for Snorkel AI's marketplace, focusing on expert contributors. The role involves defining product strategy, building features, and running experiments to optimize marketplace outcomes like matching efficiency, fulfillment quality, conversion, retention, and unit economics. Requires experience in fast-moving marketplaces, SaaS UI/UX, and working with enterprise customers. The company's mission is to help enterprises transform expert knowledge into specialized AI at scale.

This role is for a Manager, Technical Delivery at Snorkel AI, a company focused on helping enterprises transform expert knowledge into specialized AI at scale. The manager will lead and scale a team of Technical Delivery Managers (TDMs), overseeing complex customer projects, driving operational excellence, and collaborating cross-functionally. The role requires experience in technical delivery, people management, and a strong understanding of data systems, analytics, or AI/ML concepts.

This role is for a Delivery Operations Manager at Snorkel AI, a company focused on data development for AI. The manager will optimize processes for high-quality outcomes and seamless delivery, collaborating with technical teams and expert contributors. Responsibilities include quality reviews, pipeline monitoring, project tracking, and stakeholder updates. While the company is AI-focused, this specific role is operational and does not involve direct AI/ML model development.

Software Engineering Intern to work on Snorkel's Data-as-a-Service (DaaS) platform, focusing on building novel, high-quality training data for AI systems. The role involves end-to-end ownership of features, from concept to implementation, and developing scalable systems for data creation, labeling, and validation.

Recruiting Coordinator at Snorkel AI, a company focused on helping enterprises transform expert knowledge into specialized AI at scale. The role involves managing the candidate experience, scheduling interviews, coordinating processes, and reporting on recruiting metrics. This is a contract opportunity.

This role is for a Manager of Revenue Accounting at Snorkel AI, a company focused on data for AI. The primary responsibilities include owning and scaling the revenue accounting function, ensuring compliance with ASC 606, managing project-based billing, and improving collections. The role requires strong GAAP knowledge, experience with revenue recognition in services-driven models, and the ability to build processes from scratch. While the company is in the AI space, this specific role is in accounting and does not involve direct AI/ML development.

This role is for an Accounts Receivable Specialist at an AI company. The core responsibilities involve managing billing and collections processes for enterprise customers, ensuring timely and accurate invoicing, and accelerating cash collections. The role requires experience with project-based billing, customer procurement portals, and AR management. While the company is in the AI space, this role is not directly involved in building or researching AI models.

This role is for a Senior Strategy & Operations Manager within the Delivery organization of Snorkel AI's Data-as-a-Service (DaaS) business. The primary focus is on ensuring the organization runs efficiently, operates with rigor, and scales effectively. Responsibilities include driving cross-functional initiatives, owning operating rhythms, and aligning OKRs, planning, and execution tracking. The role requires strong operational skills, strategic thinking, and hands-on execution in a high-growth environment.

This role is for a Senior Business Systems Analyst on the Revenue Operations team at Snorkel AI. The primary focus is on configuring and supporting Salesforce and other GTM systems to align with sales and delivery operational needs. Responsibilities include gathering requirements, designing and implementing solutions in Salesforce, collaborating with cross-functional teams, and ensuring data hygiene. While the company is in the AI space, this role is not directly involved in building or researching AI models, but rather supporting the business operations of an AI company.

This role is for a Revenue Operations Lead at Snorkel AI, a company focused on helping enterprises transform expert knowledge into specialized AI at scale. The role involves partnering with GTM leadership to translate growth goals into operational plans, performance frameworks, and analytical insights. Responsibilities include leading planning processes, owning forecasting and pipeline management, defining metrics and dashboards, and collaborating cross-functionally. The ideal candidate has experience in Revenue Operations or GTM Strategy at high-growth technology companies and strong expertise in forecasting, pipeline management, and compensation programs.