Senior Developer Advocate at Instaclustr focusing on AI and open source technologies. Bridge between AI community and product organization creating compelling technical narratives.
Responsibilities
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
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