Senior Developer Advocate, Partner Ecosystem

Requisitos y responsabilidades

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What You’ll Do

Ship Partner Integration Recipes: Architect and open-source complete, runnable examples that demonstrate Deepgram within partner stacks like Pipecat, Livekit, and AWS. Each recipe includes working code, a guide written for that partner's developers, and coordination to get it referenced in partner docs.
Audit & Map the Partner DX: Walk each partner integration as a developer would — discovery, docs, setup, first API call. Document every friction point. Produce gap analyses that categorize what's working, what's broken or stale, and what's missing. Use these to drive prioritization.
Own Partner Relationships: Build and maintain ongoing relationships with partner engineering and DevRel teams. Establish regular check-in cadences, understand their roadmaps, and negotiate co-documentation and joint content opportunities.
Be the "Zero-Index" Sensor for Partners: Act as the first customer for every partner integration. When something's broken, confusing, or missing — you find it first and route it to the right internal team, whether that's Product, Engineering, or Docs.
Synthesize Cross-Functional Intel: Gather signals from Field Engineering, GTM, Product, and partner contacts. Maintain living partner context docs that capture relationship status, workstreams, commitments, gaps, and next steps.
Show Up in Partner Communities: Be a known, helpful presence in partner community spaces (Discord, Slack, forums). Answer Deepgram-related questions, share your work, and listen — this is your primary signal source.
Code-First Content: Produce deep-dives, video walkthroughs, and "build-in-public" documentation that showcases how to orchestrate Deepgram with partner platforms, frameworks, and real-time protocols.
Raise the Bar for Partner Work: Document repeatable playbooks for partner engagement so the team can scale this work beyond one person. Mentor teammates on partner integration patterns and cross-ecosystem thinking.
Frame Impact Around Developer Outcomes: Track partner integration health through Activation → Adoption. Connect your work to measurable results, incl. trial conversions from partner channels, integration completion rates, etc.
Strategic Travel & Outreach: Spend ~25% of your time leading workshops, co-presenting at partner events (e.g., partner conferences, co-hosted meetups), and speaking at AI conferences to build in-person relationships across ecosystems

What We’re Looking For

Experience: 3-5 years of experience in Software Engineering or Developer Relations.
Tech Stack: Solid foundation in JavaScript, Python, .NET, or Go tech stacks. You are comfortable working across the full stack from building APIs to creating simple, clean frontends to showcase your work.
AI-First Mindset: You use AI tools in your daily workflow — for coding, content, research, automation. You're not just building AI demos; you're building with AI.
Partner & Ecosystem Thinking: Experience working across organizational boundaries — coordinating with external teams, navigating shared roadmaps, and earning trust with developers who aren't "your" audience first.
Educator Mindset: A portfolio of technical writing, blog posts, or video content that demonstrates your ability to make complex topics simple.
Community Engagement: Experience participating in or managing developer communities. You know how to engage with empathy and technical accuracy.
Technical Communicator: Ability to simplify complex AI orchestration through clear writing, documentation, and high-quality code samples.
Location: Remote-friendly. Ability to collaborate across global time zones is essential.

Preferred/Nice to Have

Partner DevRel Experience: You've been the bridge between two developer ecosystems before - in a partner-facing advocacy or solutions engineering role.
Deep AI Stack Proficiency: Hands-on experience with the broader "AI Agent" stack, including LLM orchestration frameworks (LangChain, LlamaIndex), Vector Databases (Pinecone, Weaviate), and RAG architecture.
Media & Real-time Protocols: Experience working with WebSockets, WebRTC, or gRPC. If you understand how audio bytes move across the wire in real-time, you are a top-tier candidate.
Engineering Influence: A history of collaborating directly with Product and Engineering teams to shape an API roadmap based on developer friction.
Industry Recognition: A digital presence which could include a popular technical YouTube or Twitch channel, a widely-read developer newsletter, or a history of speaking at Tier-1 conferences (e.g., re:Invent, Google I/O, SIGNAL).
Open Source Leadership: Experience as a maintainer or major contributor to a well-known open-source project, with a focus on community governance and developer onboarding.
Automation Mindset: You don't just build demos; you build the "Engine." Experience with AI-assisted coding tools or building custom CLI utilities to automate your own advocacy workflow.