NetApp is looking to solve the problem of effectively bridging the gap between the AI developer community and their product organization, specifically focusing on the intersection of AI and their open-source technologies. They aim to position Instaclustr's managed services as essential infrastructure for modern AI applications and build trust in NetApp Instaclustr as the best place to run data infrastructure for AI.
Requirements
- Production experience with AI technologies and frameworks (eg LangChain/LangGraph), vector databases and embeddings
- Hands-on experience building agentic AI applications, RAG (Retrieval-Augmented Generation) systems, or LLM-powered applications
- Understanding and experience with AI data pipelines and MLOps practices
- Knowledge of streaming architectures and event-driven systems for AI applications
- Strong experience with open source data platforms such as Apache Kafka, Apache Cassandra, PostgreSQL, Cadence, OpenSearch, ClickHouse, or similar technologies
- Active participation in open source communities with visible contributions (GitHub profile, conference talks, blog posts)
Responsibilities
- Develop high-quality technical content (tutorials, demos, code samples, blog posts, videos) that demonstrates how to build AI applications using Instaclustr's managed platform, in close collaboration with our Sr. Product Manager to translate product vision and market narratives into content that resonates with developers.
- Create reference architectures and solution patterns for common agentic AI use cases (RAG pipelines, vector search, real-time AI inference, AI data pipelines)
- Produce compelling demonstrations that showcase the integration of Instaclustr portfolio with popular AI tools and frameworks
- Serve as a subject matter expert on AI infrastructure requirements, including data pipelines, vector databases, streaming platforms, and operational data stores for AI applications
- Stay current with emerging AI technologies, frameworks, and architectural patterns, providing insights to product and engineering teams
- Troubleshoot technical challenges faced by developers using Instaclustr for AI workloads and escalate product gaps or opportunities to product management
- Collaborate with engineering teams to improve developer experience, API design, and integration patterns
Other
- Build and nurture relationships with AI developers, ML engineers, and architects working on agentic AI applications and data-intensive AI workloads
- Serve as the voice of AI developers within Instaclustr, providing product management with continuous feedback on developer needs, pain points, and emerging use cases
- Engage with open source AI communities around key technologies including Apache Kafka, Apache Cassandra, Cadence, PostgreSQL, OpenSearch, and ClickHouse at industry conferences, meetups, webinars, and online communities
- Excellent written, verbal, and video communication skills with a portfolio of technical content (blogs, talks, tutorials, open source contributions)
- Background in developer relations, developer advocacy, technical evangelism, solution architecture, or software engineering
