Technical Marketing Engineer (TME) for AI & On-Premises Object Storage

What you'll do

• Design demonstration environments, hardware sizing guides, and reference architectures combining object storage and AI compute.
• Develop AI/ML benchmarks, proof-of-concepts, and notebooks; assess storage performance and bottlenecks.
• Create technical content and enable customers, partners, and internal teams; provide product feedback to engineering and product management.

What they ask for

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related discipline, or equivalent practical experience.
• Typically 10+ years of experience in technical marketing, systems engineering, storage engineering, infrastructure architecture, or a related technical field.
• Deep experience with S3 API-based object storage and practical experience designing or operating distributed storage systems.
• Experience with AI/ML training workflows and frameworks, and proficiency in Python or Go.

Nice to have

• Knowledge of data lakehouse architectures and formats such as Apache Iceberg, Delta Lake, and Parquet.
• Familiarity with Docker, Kubernetes, CSI, high-speed networking, and benchmarking tools such as fio or warp.

Pay

USD 178,000 - 339,000 in Massachusetts (base salary); USD 157,000 - 361,000 in North Carolina & Texas (base salary)

Tools

S3 API, Apache Iceberg, Delta Lake, Parquet, PyTorch, TensorFlow, Python, Go

AI focus

Develop AI/ML benchmark workflows, proof-of-concepts, and Jupyter notebooks for data preparation, ingestion, checkpointing, and large-scale unstructured data processing on on-premises object storage.