Key Responsibilities

• Developer Adoption and Enablement: Drive developer adoption of the Brave Search API by making it easy to get started and succeed. Own onboarding resources that reduce friction from first API call to production use.
• Technical Content and Education: Create high-quality technical content including tutorials, sample applications, reference architectures, and interactive notebooks. Demonstrate real-world use cases across LLM, RAG, and agentic workflows.
• Documentation and Developer Experience: Treat documentation as a core product surface. Continuously improve clarity, usability, and completeness to optimize “time to first successful API call” and overall developer experience.
• Ecosystem and Integrations: Expand Brave’s presence across the AI developer ecosystem by building and supporting integrations with key frameworks and platforms (e.g., LangChain, LlamaIndex, Vercel AI SDK). Ensure Brave is a first-class option in developer workflows.
• Community Engagement: Build and engage with the developer community across channels such as GitHub, X, Discord, and forums. Answer questions, surface use cases, and establish Brave as a trusted solution for AI builders.
• Product Feedback and Market Insight: Act as “Customer Zero” by testing new features, identifying gaps, and channeling direct developer feedback to Product and Engineering. Provide insights on developer needs, friction points, and competitive dynamics.
• Launch Support (Technical): Partner with Product Marketing to support launches by delivering the technical assets required for adoption, including demos, code samples, and documentation updates.
• Developer Funnel Optimization: Improve conversion from signup to active usage by identifying friction points in onboarding, SDK usage, and implementation. Use data and feedback to increase activation and retention.

Requirements and Qualifications

• You are T-Shaped: You are likely a former engineer turned marketer, or a PMM who learned to code. You understand that developers hate "marketing," but love solutions.
• Native Fluency in AI/Search: You know what RAG is. You understand the difference between lexical and semantic search. You know why context windows matter.
• Developer Empathy: You’ve wrestled with bad APIs, poor documentation, and rate limits.
• Proven Writing: You can write clear, concise copy for a landing page and technical copy for a whitepaper.
• Technical Chops: You are comfortable reading/writing Python or JavaScript. You can fire up a terminal to test a cURL request.

Bonus Points:

• Experience at "Developer Cult" companies (e.g., Vercel, Supabase, Stripe, HashiCorp, LangChain).
• Experience marketing data products or search infrastructure.
• An existing presence in the AI/LLM builder community.

What We Offer

• Opportunity to drive developer growth for a cutting-edge API product in a high-growth company.
• Remote flexibility with a collaborative, results-oriented culture.
• Competitive salary, benefits, and professional development opportunities.
• Compensation in the United States is $150,000.00 to $200,000.00 DOE.