Senior Developer Advocate – AI, Open Source

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November 20

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NetApp

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API • Artificial Intelligence • SaaS

NetApp is the intelligent data infrastructure company that provides innovative solutions for businesses to harness the power of their data. They offer a range of services including unified data storage, cloud management, and data protection to simplify and enhance data handling across various platforms. With a focus on modernizing storage environments and enabling efficient data management, NetApp serves various industries by helping organizations optimize their workflows and boost productivity.

10,000+ employees

Founded 1992

🔌 API

🤖 Artificial Intelligence

☁️ SaaS

💰 Venture Round on 1994-01

📋 Description

• 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 • 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 • Work closely with the Sr. Product Manager – AI Market Segment to ensure developer advocacy efforts align with segment strategy and business goals • Validate product hypotheses through hands-on prototyping and developer feedback • Contribute to the "working backwards" product development process by articulating developer perspectives and technical requirements • 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

🎯 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 • Excellent written, verbal, and video communication skills with a portfolio of technical content (blogs, talks, tutorials, open source contributions) • Active participation in open source communities with visible contributions (GitHub profile, conference talks, blog posts) • Background in developer relations, developer advocacy, technical evangelism, solution architecture, or software engineering • Ability to work cross-functionally with product management, engineering, and go-to-market teams with limited supervision • Willingness to travel 20-30% of the time for conferences, conventions, customer meetings, and partner engagements • Bachelor's degree in a technical/engineering field; or additional required experience in place of education requirement

🏖️ Benefits

• Health Insurance • Life Insurance • Retirement or Pension Plans • Paid Time Off (PTO) • Various Leave options • Performance-Based Incentives • Employee stock purchase plan • Restricted stocks (RSU’s)