Developer Advocate
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Role details
Tech stack
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Job description
We’re looking for a dynamic Developer Advocate to serve as a bridge between technical teams and the user community. In this role, you’ll champion our technologies through workshops, content, and events, helping customers and prospects understand how VAST Data and our API-first platform can transform data and AI initiatives., Community Building
- Represent VAST Data at industry conferences, meetups, and events as a speaker
- Design and deliver compelling technical workshops
- Build relationships with developer communities, AI practitioners, and data engineers
- Be a part of and nurture our active Cosmos community of customers and partners
Content Creation
- Develop high-quality technical content including tutorials, blog posts, videos, and documentation
- Create comprehensive workshop materials for both in-person and virtual delivery
- Build applications, reference architectures, and proof-of-concepts
- Design and implement hands-on labs for data pipelines and AI workflows
Technical Expertise
- Demonstrating best practices for data platform implementations
- Build and showcase integration with popular frameworks
- Serve as a technical advisor to SEs and customers
- Collaborate with product teams to translate customer feedback into product improvements and product adoption
AI Agent and Workflow Development & Showcasing
- Develop proof-of-concept AI agents and data pipelines using VAST Data
- Create educational content explaining how VAST Data enhances AI development workflows
- Collaborate with partners to showcase pipelines used by their AI agents
- Stay current on emerging AI technologies and frameworks to identify integration opportunities, Who We Are Notion is the collaborative AI workspace where teams and agents . We’re building one place where your knowledge, projects, meetings, and AI tools live side by side, so…
- 2 months ago +
Requirements
- Public speaking with proven experience presenting technical content
- Strong technical writing skills with a portfolio of blog posts, documentation, technical content
- Experience creating and delivering technical workshops or training programs
- Ability to translate complex technical concepts into clear, compelling narratives
- Experience with modern AI frameworks and data processing technologies
- Familiarity with distributed computing concepts and technologies
- Software development experience in languages and tools used in data engineering (Python, SQL, vector databases, etc.)
N ice-to-Have Qualifications
- Understanding of modern advanced storage and compute architectures, particularly open-source, and their impact on data pipeline performance
- Knowledge of containerization, orchestration, and cloud-native technologies
- Understanding of modern database technologies
- Experience with VAST Data products or similar data platform technologies
- Experience building and deploying data pipelines in production environments
- Active social media presence in relevant technical communities
- Previous experience working with enterprise customers in the data infrastructure space, * Comfortable speaking in front of audiences with an engaging presentation style
- Self-motivated with the ability to work independently while collaborating across teams
- Creative problem-solver who can develop innovative demos and content
- Passionate about technology education and knowledge sharing
- Empathetic communicator who can understand and address customer pain points
- Adaptable to changing priorities and emerging technologies
Benefits & conditions
- Opportunity to work with cutting-edge data infrastructure technologies
- Collaborative environment focused on innovation and technical excellence
- Competitive compensation package including equity
- Professional development opportunities and conference attendance
- Flexible work arrangements as a “remote-first” company
About the company
VAST Data is revolutionizing the data infrastructure landscape with its innovative approach to data platforms, AI acceleration, and storage architecture. Our mission is to simplify data infrastructure while enabling organizations to extract maximum value from their data assets in the age of AI.
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