NetApp

Senior Developer Advocate – AI and Open Source

NetApp

full-time

Posted on:

Location Type: Office

Location: 🇺🇸 United States

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Salary

💰 $190,000 - $250,000 per year

Job Level

Senior

Tech Stack

ApacheCassandraKafkaOpen SourcePostgres

About the role

  • 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
  • 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, supporting the PM's customer discovery and experimentation efforts
  • 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)

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
AI technologiesagentic AI applicationsRAG systemsLLM-powered applicationsAI data pipelinesMLOps practicesstreaming architecturesevent-driven systemsvector databasesembeddings
Soft skills
written communicationverbal communicationvideo communicationdeveloper relationsdeveloper advocacytechnical evangelismsolution architecturecross-functional collaborationself-managementpublic speaking