Description
We are seeking a highly strategic and technically grounded AI Data Platform Field CTO to help drive the next phase of growth for our X10K AI data platform business.
This is a customer-facing architect role that leads with a data-first perspective, focusing on how data is created, moved, enriched, and consumed across AI pipelines, using infrastructure as an enabler rather than the starting point.
Key Responsibilities
- Data-Centric AI Architecture:
- Lead architecture discussions starting from data characteristics and lifecycle
- Design AI solutions by optimizing data access patterns, AI pipelines for data movement efficiency, and metadata, indexing, and retrieval efficiency
- Evaluate how data design decisions impact model performance and accuracy, latency, GPU utilization, ingest requirements, and cost efficiency
- Customer Engagement & Deal Leadership:
- Lead technical discovery sessions with enterprise customers to identify, shape, and qualify AI Factory opportunities
- Translate business objectives into scalable AI architectures and solution designs
- Serve as a trusted advisor to CTOs, Heads of AI, and Data Engineering leaders
- AI Solution Architecture & Sizing:
- Scope and size AI Factory environments based on GPU counts and configurations, data volumes and throughput requirements, and model types and workloads
- Define performance expectations across the full AI pipeline
- Provide guidance on optimizing time-to-first-token (TTFT), throughput, and cost efficiency
- Data & Storage Integration (X10K Focus):
- Articulate the role of modern data platforms in AI workflows
- Position data platforms as a strategic enabler of AI performance
- Align solution positioning to customer-specific data scale, access patterns, and performance needs
- Cross-Functional Leadership:
- Partner closely with Product Management to influence roadmap priorities and provide structured field feedback
- Create and present high-impact technical content to influence customers, partners, and internal stakeholders
Required Qualifications
- 8+ years of experience in a technical presales, solutions architecture, or field CTO role
- Strong understanding of AI/ML workflows, including Retrieval-Augmented Generation (RAG), model inference and deployment
- Demonstrated ability to lead architecture from data requirements and access patterns rather than infrastructure-first design approaches
- Proven experience working with Product Management and solution teams to define, develop, and extend AI Factory offerings
- Experience sizing and designing GPU-based environments for AI workloads
- Solid understanding of data architecture concepts, including data pipelines, data lakes, and object storage
What Success Looks Like
- Consistently shaping and qualifying high-value AI Factory opportunities
- Positioning solutions with precision,winning in the right opportunities for the right reasons
- Enabling field teams to confidently position and sell AI solutions at scale
- Driving measurable improvements in deal velocity, win rates, and pipeline growth
- Influencing product direction based on real-world customer needs
- Establishing a repeatable, scalable approach to AI Factory solution design