
11 - 50 employees
🤖 Artificial Intelligence
☁️ SaaS
Artificial Intelligence • SaaS
neptune. ai is a platform for managing and tracking machine learning experiments, specifically designed for training large-scale foundation models. It provides robust tools to compare, monitor, and reproduce experiments, ensuring seamless team collaboration. Its upcoming Neptune Scale product offers enhanced scalability and new features to handle hyperscale data ingestion and experiment tracking with 100% accuracy. With over 60,000 users, Neptune. ai is trusted by academia, enterprises, and developers, providing comprehensive features like self-hosted deployment options, multiple integrations, and advanced training monitoring capabilities.
🕒 April 1
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11 - 50 employees
🤖 Artificial Intelligence
☁️ SaaS
Artificial Intelligence • SaaS
neptune. ai is a platform for managing and tracking machine learning experiments, specifically designed for training large-scale foundation models. It provides robust tools to compare, monitor, and reproduce experiments, ensuring seamless team collaboration. Its upcoming Neptune Scale product offers enhanced scalability and new features to handle hyperscale data ingestion and experiment tracking with 100% accuracy. With over 60,000 users, Neptune. ai is trusted by academia, enterprises, and developers, providing comprehensive features like self-hosted deployment options, multiple integrations, and advanced training monitoring capabilities.
• Engaging with AI/ML researchers and data scientists to understand their workflows, use cases, and pain points. • Translating domain-specific user needs into detailed, actionable product specifications for the engineering and UX teams. • Creating and managing the product roadmap from inception to delivery, balancing innovation, user needs, and customer requirements. • Collaborating with UX designers to ensure user needs are reflected in the design while keeping the interface polished and user-friendly. • Driving discussions with internal stakeholders (CTO, Head of Design, Engineers) to balance technical feasibility with user requirements. • Maintaining awareness of the competitive landscape and identifying must-have versus nice-to-have features to ensure market competitiveness. • Leading the collaboration between cross-functional teams to align on product solutions and oversee development.
• Strong AI/ML domain knowledge, including experience in model training, quality testing, and knowledge of the latest trends (e.g., reinforcement learning). • Experience working directly with data scientists or in research environments. • Python programming experience (a plus). • Excellent communication skills, with the ability to engage both technical and non-technical audiences, including researchers and engineers. • Strong problem-solving and analytical skills to address complex user challenges and translate them into product solutions. • Proven experience in working with UX designers and engineering teams to build user-centric products. • The ability to influence and drive initiatives within cross-functional teams without direct authority.
• Flexibility: 100% remote work with offices (co-works) in Warsaw/Wrocław/Kraków/Poznań available and flexible working hours. • Ownership and Impact: The opportunity to take action, shape product features, and make a significant impact on the future of AI/ML tools. • Growth and Development: Work with cutting-edge AI/ML research teams and be part of a highly collaborative environment. • Share in our success: Participate in the Employee Stock Option Plan and be part of our growth journey.
Apply Now🕒 April 1
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