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Senior Product Manager (Data & Quality)
Snorkel AI · San Francisco, United States
About The Role
Join Snorkel, a leading company in the AI/ML space, as a Senior Product Manager. In this highly technical and strategic role, you will lead the development of our agentic data systems, synthetic data systems, evaluations, and data-acceleration initiatives. You will work closely with various teams to define product vision, roadmap, and execution plans, and have a significant impact on the company's growth and success.
- Definir la visión del producto, la estrategia y la hoja de ruta para los sistemas de evaluación y calidad de los contribuyentes expertos.
- Identificar cuellos de botella y liderar esfuerzos interfuncionales para mejorar la calidad general y la tasa de aceptación del cliente.
- Construir un sistema de recomendación para la coincidencia óptima de los contribuyentes expertos con las tareas en la plataforma Snorkel.
- This role is ideal for someone with a core ML/AI product background, strong familiarity with model development workflows, and demonstrated success delivering product experiences that improve the speed, quality, and scalability of data operations
- Experience building internal or platform-level products with complex workflows and multi-stakeholder environments
- Excellent collaboration skills and experience partnering closely with Engineering, Research, and Operations teams
- Educational background in computer science or related engineering practice
- Ability to write clear PRDs, partner on research experimentation frameworks, and drive measurable outcomes
- Strong technical literacy across ML models, Gen AI concepts, LLM-based products, Agentic designs, evaluation, labeling strategies, and quality frameworks
- 5–7 years of experience as a Product Manager, with ownership of complex, cross-functional product areas
- Proven ability to own end-to-end product experiences across multiple user personas
- Strong analytical and problem-solving skills, with a track record of metrics-driven decision making
- Proven ability to drive deeply technical roadmaps end-to-end, from concept to launch
- 5-7 years of experience as a Product Manager, including 3+ years focused on ML/AI products, MLOps, or data systems products
- Experience with agent-based systems, generative AI, reinforcement learning, self-improving systems, or automated workforce/task routing platforms
- Familiarity with LLMs, LLM Evaluations, human-in-the-loop systems, and synthetic data generation
- Demonstrated ability to lead large, cross-team initiatives without formal authority
- Background in Machine Learning, Data Engineering, or related technical field
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