Principal Solutions Architect

November 9, 2024

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neptune.ai

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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.

Machine learning • Data science • MLOps • Experiment tracking • Model registry

11 - 50 employees

🤖 Artificial Intelligence

☁️ SaaS

📋 Description

• As a Principal Solutions Architect, you will be engaging with top research labs in the world, helping them maximize the value of our platform. • You will lead Proof of Concepts (PoCs) for potential high-value customers, conduct technical demos, and provide advanced troubleshooting, helping drive product adoption and identifying upsell opportunities. • Serve as the primary technical advisor in high-priority customer engagements, understanding customer needs and driving solutions through on-site visits (typically once a month) to key locations, including San Francisco, Toronto, and Tel Aviv. • Capture and translate customer insights into detailed product requirements for engineering and UX teams, ensuring solutions align with real-world needs. • Lead and execute PoCs for prospective customers, ensuring smooth integration, technical validation, and a clear path to adoption. • Conduct detailed technical demos and discussions, demonstrating how Neptune can solve specific customer challenges and integrate seamlessly with their workflows. • Identify potential upsell and cross-sell opportunities by aligning product capabilities with evolving customer requirements. • Act as a high-level technical troubleshooter for customer issues, collaborating with internal teams to resolve complex technical challenges. • Contribute insights on customer use cases, best practices, and focus areas for case studies, helping to develop resources that address common customer adoption challenges.

🎯 Requirements

• Master’s or PhD in Mathematics, Physics, Data Science, or a related quantitative field. • 5-10 years of hands-on experience in data science, machine learning, or AI, with expertise in model development, statistical analysis, and data pipelines. • Strong proficiency in AI/ML frameworks (e.g., PyTorch, TensorFlow, JAX) and a proven ability to apply these frameworks to real-world customer needs. • Experience with cloud platforms (AWS, GCP, or Azure). • Willingness to travel up to 50%, primarily to the USA, including potential two-week stays each month, to lead customer engagements and ensure successful product integration. • Proven track record in customer-facing roles, with experience leading PoCs and delivering technical solutions that meet customer goals. • Strategic insight into how technical decisions impact business outcomes, with a focus on identifying upsell opportunities. • High degree of autonomy, ownership, and problem-solving skills in fast-paced environments.

🏖️ Benefits

• Flexibility: 100% remote work with offices (co-works) in Warsaw/Wrocław/Kraków/Poznań available and flexible working hours. • Share in our success: Participate in the Employee Stock Option Plan and be part of our growth journey. • Time off: 20 paid service-free days per year. • Ownership and impact: Space to take action, bring your ideas to life, and make a real impact.