We’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. This role involves leading technical discovery and advisory engagements with customers to identify high-value AI use cases, advising on end-to-end AI deployment, collaborating cross-functionally to qualify and position AI opportunities, and creating AI enablement content for field teams, partners, and customers.
Requirements
- Advanced degree in a quantitative field (Computer Science, Physics, Mathematics, Engineering, or related), or equivalent demonstrated through publications and production system experience
- 8+ years building and deploying AI/ML systems in cloud or on-prem environments
- Deep expertise in modern AI/ML — large language models, distributed training, inference optimization, agentic systems, evaluation/alignment frameworks, and classical ML
- Fluency with the modern AI stack (PyTorch, vLLM, Ray, Kubernetes) and data platforms (Spark, Snowflake, Kafka, etc.)
- Able to scope and carry out research projects that support critical business objectives, both independently and collaboratively
- Excellent written, verbal, and presentation skills — equally clear with hands-on data scientists and C-suite decision-makers
- Experience with large-scale AI infrastructure: GPU clusters, high-performance storage, containerized deployments
- Experience in customer-facing technical advisory or consulting roles with enterprise accounts
- Experience leading independent, multi-year research from concept to publication or large-scale production deployment
- Exposure to multiple industry verticals (financial services, healthcare, telco, manufacturing)
- Publication record, conference presentations, or recognized technical presence
- Background combining applied research with shipping production systems
- Familiarity with CRM/opportunity management systems (Salesforce preferred)
Benefits
- Flexible time off
- Wellness resources
- Company-sponsored team events
