3 hours ago
Santa Clara, CA, USAStaff+
Base Salary
$300k - $330k/yr
Responsibilities
- Engage clients in consultative discovery to understand AI, data, performance, and business-outcome requirements.
- Design scalable AI, ML, data, HPC, and cloud-storage solutions with emphasis on performance, optimization, and measurable value.
- Deliver technical presentations, product demonstrations, proof-of-concepts, and solution support throughout pre-sales engagements.
- Actively partner with sales teams to communicate solution value, ROI, and technical differentiation and help close complex opportunities.
- Apply expertise in LLMs, neural networks, RAG, inference, recommendation systems, AI pipelines, and data architectures.
- Collaborate with Product, Marketing, Engineering, alliances, OEMs, cloud providers, channel partners, and integrators on joint solutions and go-to-market strategies.
- Provide technical enablement and training for internal teams and partners while maintaining awareness of AI, data-management, and competitive trends.
Requirements
- 8+ years of experience in AI/ML infrastructure, data engineering, AI consulting, data science application development, or related architecture practices.
- Demonstrable expertise in generative AI technologies, including LLMs, neural networks, and recommendation systems.
- Familiarity with TensorFlow, PyTorch, NVIDIA Enterprise Suite, NeMo, and NIMs.
- Experience delivering technical wins in complex sales or consulting environments, including technical presentations and executive engagement.
- Working knowledge of AI training, inference, development, and deployment tools, including feature stores, vector databases, embedding models, ETL tooling, and modern programming languages and frameworks.
- Subject-matter expertise in AI frameworks, data science, data engineering, predictive analytics, and/or generative AI development practices.
- Preferred qualifications include a bachelor’s degree in Computer Science, AI, Data Engineering, or a related technical field, or equivalent experience.
- Experience with alliances, OEMs, partner ecosystems, hyperscalers, joint solution delivery, cloud providers, indirect sales, and co-selling opportunities is preferred.
- AI and cloud architecture certifications, such as NVIDIA, AWS, Azure, or Google Cloud certifications, are a plus.
- Knowledge of ROI and data-center optimization metrics, including energy efficiency, space utilization, and performance tuning, is preferred.
About DDN
DDN builds high-performance data storage and data management systems for AI, machine learning, and high-performance computing workloads used by enterprises, research institutions, and governments. It sells appliance hardware and software (including parallel file systems and AI data platforms) along with support and professional services. Founded in 1998 and headquartered in Chatsworth, California, the privately held company reports serving over 11,000 organizations worldwide.