• Ship Reference Apps & Demos: Architect and open-source sample apps that solve real-world challenges — building real-time voice agents, orchestrating multiple voice AI models, streaming audio intelligence pipelines. Every demo should be runnable, well-documented, and designed for developers to learn from and build on. • Code-First Content: Produce deep-dives, video walkthroughs, and "build-in-public" documentation that moves developers from idea to working prototype in minutes. You write and build for developers. • Be the "Zero-Index" Sensor: Act as the first customer for every new feature and API change. Turn feedback from your own builds and from the developer community into Friction Reports that influence Product and Engineering priorities. • Own Technical Narrative: Author high-quality technical content across blogs, social media, and video platforms that establishes Deepgram as the default choice for voice AI. • Community Engagement: Engage where developers live (GitHub, Reddit, X, Discord, Hacker News) to represent Deepgram, answer questions, and earn community trust through consistent technical presence. • In-Person Advocacy: Serve as Deepgram's on-the-ground presence primarily in the US. Lead workshops, speak at meetups and AI conferences, and build relationships with the developer community. Expect ~25% travel. • Cross-Pillar Contributions: Contribute to the Developer Experience pillar - building integration recipes, improving SDK documentation, or building demo tooling. • Multiply the Team: Document your processes and playbooks. Mentor teammates on content strategy, demo architecture, and community engagement patterns • Connect Work to Outcomes: Frame your impact in terms of developer outcomes — sign-ups, activations, content-to-trial conversion, community growth. Articulate the business case and impact for your work.

• Ship Partner Integration Recipes: Architect and open-source complete, runnable examples. • Audit & Map the Partner DX: Document every friction point. • Own Partner Relationships: Build and maintain ongoing relationships with partner engineering. • Be the "Zero-Index" Sensor for Partners: Act as the first customer for every partner integration. • Synthesize Cross-Functional Intel: Maintain living partner context docs. • Show Up in Partner Communities: Be a known, helpful presence in partner community spaces. • Code-First Content: Produce deep-dives, video walkthroughs, and documentation. • Raise the Bar for Partner Work: Document repeatable playbooks for team scaling. • Frame Impact Around Developer Outcomes: Track partner integration health. • Strategic Travel & Outreach: Spend ~25% of your time leading workshops and co-presenting.

• Empower developers to build sophisticated AI applications using Qdrant • Develop and maintain open-source 'showcase' applications • Conduct research into emerging AI patterns • Produce educational resources and tutorials • Lead Qdrant’s presence at hackathons and workshops • Deliver compelling presentations at conferences

• Define and roll out AI-assisted development practices within existing SDLC and delivery frameworks • Coordinate with IT, Security and other teams to ensure development tool usage aligns with Enterprise guidelines • Create and maintain starter kits, repo templates, and reference implementations for common AI delivery patterns with documentation and onboarding paths • Establish safe-by-default configurations and usage standards for AI coding assistants and agent tooling • Define instrumentation and reporting for AI-assisted delivery • Identify workflow friction points specifically related to AI tooling adoption • Drive adoption through hands-on enablement: playbooks, office hours, training sessions, and curated workflow patterns • Partner with delivery, security, and platform stakeholders to iterate on policies and paved-road patterns • Stay current on emerging AI-assisted engineering and AgentOps capabilities