Join us at Brex, the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. As a Support Specialist, you will play a crucial role in making our customers happy and productive, working collaboratively with Sales, Product, and Engineering teams.
\nAt Brex, we deeply value high-quality customer experience and view it as necessary to our success. Your goal will be to effectively resolve customer inquiries in a considerate and timely manner via email, phone, and chat, utilizing AI-powered tools to optimize quality and efficiency.
\nResponsibilities:
\nRequirements:
\nBonus points:
\nCompensation: The expected pay range for this role is $23-$25 per hour. However, the starting hourly pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity.
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\nBrex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly.
\nAs Commercial Counsel at Brex, you will be a key member of the Legal team, supporting and negotiating revenue-generating agreements that enable Brex’s sales, partnerships, and go-to-market teams. You will also negotiate and advise on inbound vendor and procurement agreements, helping teams across the company operate efficiently and securely.
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\nYou will manage a high volume of commercial transactions, driving deal velocity while thoughtfully allocating risk in a complex fintech environment. You'll provide clear, pragmatic guidance on legal issues arising in commercial transactions, and collaborate closely with sales, deal desk, partnerships, privacy, procurement, security, product, and engineering.
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\nLLM & AI Pipeline Engineering - Design, build, and maintain production-grade LLM integration pipelines , including retrieval-augmented generation (RAG), prompt engineering, output parsing, and chain orchestration.
\nDevelop and operate AI features within Jeeves's core financial products: spend categorization, document extraction, anomaly detection, financial Q&A, and automated reconciliation.
\nImplement structured output validation, fallback handling, and confidence scoring to ensure AI decisions meet reliability standards for financial use cases.
\nEvaluate and integrate AI frameworks and tools (LangChain, LlamaIndex, OpenAI API, Anthropic API, HuggingFace, vector databases) and advocate for the right tool for the job.
\nEstablish prompt versioning and evaluation practices to ensure AI outputs remain accurate and consistent as models and data evolve.
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\nBuild document ingestion and chunking pipelines for Jeeves's financial data , processing invoices, receipts, policy documents, and transaction records.
\nOptimize retrieval quality through embedding model selection, chunk strategy, metadata filtering, and re-ranking techniques.
\nML Model Serving & Operations - Collaborate with data scientists to take trained ML models from experimental notebooks to production serving infrastructure.
\nBuild and maintain model serving endpoints with appropriate latency SLOs, input validation, and output monitoring.
\nImplement model performance monitoring and data drift detection to ensure production models remain accurate over time.
\nSupport model retraining workflows by designing clean data pipelines and feature engineering that can be continuously updated.
\nBackend Integration & Reliability - Integrate AI services cleanly with Jeeves's backend microservices , designing clear API contracts, circuit breakers, and graceful degradation patterns.
\nWrite high-quality, testable backend code in Python or Go/Node.js to power AI-integrated features.
\nInstrument AI components with structured logging, distributed tracing, latency dashboards, and alerting to ensure operational visibility.
\nBuild human-in-the-loop review workflows for AI decisions that require oversight , particularly for high-value financial actions.
\nCollaboration & Growth - Partner with Product, Backend Engineering, and Data Science to define the AI roadmap and translate requirements into reliable systems.
\nContribute to a culture of quality by writing design docs, reviewing peers' AI system designs, and sharing learnings openly.
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\nThe ideal candidate will have 6+ years' experience in B2B SaaS sales or business development, with a proven track record of consistently meeting or exceeding sales targets. They will be fluent in English, highly motivated and results-oriented, with a drive to succeed. The candidate will also have an existing network of transferable B2B relationships, preferably with mid- to large-sized businesses, enterprises, and later-stage venture-backed startups.
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