Sr. Solutions Engineer

Key Responsibilities

• Support technical sales conversations: Join customer and partner calls, help with technical discovery, answer product questions, and explain how Brave Search API can fit into different products and AI workflows.
• Run demos and build proof-of-concepts: Create demos, small apps, notebooks, and examples that show how to use Brave Search API for search, RAG, LLM apps, agents, and other use cases customers care about.
• Help customers get started: Work with prospects and customers as they move from first API call to a working integration. Identify where they get stuck and help remove those blockers.
• Improve sales and onboarding materials: Create and maintain technical guides, demo scripts, sample code, integration notes, FAQs, and comparison materials that help customers evaluate the product.
• Work with Product and Engineering: Bring back clear feedback from customers, including missing features, confusing docs, common implementation issues, pricing questions, and competitive gaps.
• Improve the developer experience: Help make the docs, examples, API onboarding, and setup flow easier to use. The goal is to make it simple for a developer to test Brave Search API and understand what they can build with it.
• Support integrations: Help Brave show up well in the tools AI developers already use, such as LangChain, LlamaIndex, Vercel AI SDK, and similar frameworks.
• Support launches: Work with Product Marketing when needed, mostly by providing the technical pieces: demos, docs, examples, and clear explanations of what changed.

Requirements

• Technical sales experience: Worked with prospects, customers, partners, or technical buyers. Able to ask good questions, understand what someone is trying to build, and explain whether the product can help.
• Hands-on technical ability: Can read and write basic Python or JavaScript, test an API with cURL or Postman, and build simple examples without needing an engineer.
• AI and search knowledge: Understands RAG, LLMs, agents, context windows, search APIs, and the difference between lexical and semantic search.
• Developer credibility: Knows what makes APIs frustrating to use. Cares about docs, rate limits, examples, error messages, and time to first successful API call.
• Clear communication: Can explain technical ideas in plain language. Can write docs, customer notes, demo scripts, and short technical explainers.
• Good internal follow-through: Can take customer feedback and turn it into useful input for Product, Engineering, Sales, and Marketing.

Nice-to-Haves

• Experience in sales engineering, solutions engineering, developer platforms, API products, search infrastructure, AI tools, or data products.
• Experience working at or with developer-focused companies such as Vercel, Supabase, Stripe, HashiCorp, LangChain, or similar.
• Existing familiarity with the AI builder ecosystem.
• Experience helping customers move from evaluation to production.