Technical Product Owner — Scientific Data Platform

📋 Description

• Own the product roadmap and priorities for the platform.
• Define workflows for scientific data ingestion, visualization, collaboration, sharing, and AI model
• Work closely with C++, backend, frontend, GPU, and visualization engineers.
• Translate customer and user needs into detailed product requirements and acceptance criteria.
• Design integrations with tools such as ParaView, Python, PyTorch, object storage, and simulation
• Work with engineering teams on data models, APIs, file-format support, streaming, and

🎯 Requirements

• Strong understanding of engineering or scientific workflows.
• Experience with CFD, FEA, CAE, scientific visualization, HPC, or related domains.
• Ability to communicate effectively with both engineers and customers.
• Experience defining technical products, APIs, workflows, or platform capabilities.
• Strong product judgment and ability to prioritize in an early-stage environment.
• Ability to understand complex technical architecture without needing to implement every component

🎁 Benefits

• Hands-on experience with ParaView, VTK, PyVista, or similar tools.
• Experience with simulation software such as Ansys, STAR-CCM+, OpenFOAM, Altair, or similar.
• Knowledge of meshes, volumetric grids, point clouds, simulation fields, and time-dependent datasets.
• Familiarity with Zarr, HDF5, VTK formats, and scientific data infrastructure.
• Experience with cloud HPC or platforms such as Rescale, SimScale, or similar.
• Familiarity with machine learning for engineering, surrogate models, or Physics AI.