**About Us**  
  
CRED is an AI Native Command Center for businesses. We centralize internal and external company data and pair it with real-time insights to help leaders make better decisions and anticipate the future. With early traction in sports and entertainment—including partnerships with the PGA, Golden State Warriors, and more—and a fresh $10M+ raise, we're scaling fast.  
  
We operate one of the world’s most comprehensive business datasets—tracking customers, people, companies, and related signals. We train LLM-powered agents on this data to drive meaningful outcomes for our users across customer support, product development, go-to-market, and more.  
  
At CRED, you’ll work on high-impact problems at the intersection of AI, data, and operations. You’ll have ownership, influence, and a direct line to product and leadership. If you thrive in fast-paced environments with tight feedback loops and full-stack thinking, you’ll love it here.

  
**The Role**

  
We’re looking for a Backend Engineer with expertise in Node.js, SQL, and AI-driven architectures to develop fast, scalable backend systems. You’ll work closely with data scientists, machine learning engineers, and cross-functional teams to implement AI-powered features, enhance data processing pipelines, and optimize system performance. This role is ideal for engineers passionate about sports tech, AI, and high-scale applications.  
  
**What You’ll Do**

  
• Build & Optimize: Develop and maintain scalable, high-performance server infrastructure that processes large volumes of data in real-time.  
• AI-Driven Development: Work with AI models and LLMs to build intelligent features, enhance data insights, and improve automation.  
• Feature Development: Collaborate with designers, engineers, and product managers to build new AI-enhanced features that optimize user experiences.  
• Seamless Integration: Work with frontend engineers and data teams to integrate backend services with AI-powered analytics and automation tools.  
• Data & Performance: Utilize dbt, Google BigQuery, and AI-driven optimization techniques to enhance data processing and performance.  
• Problem-Solving: Learn and apply new AI and cloud-based technologies to tackle complex backend challenges.  
• Debug & Maintain: Assist in triaging bugs and troubleshooting production issues.  
• Mentor & Review: Provide mentorship to junior engineers and conduct thorough code reviews to maintain high-quality standards.  
  
**What We’re Looking For**

  
✅ Must-Have Experience:  
• Proficiency in Node.js for backend development  
• Strong knowledge of SQL and PostgreSQL  
• Experience working with GraphQL APIs  
• Expertise in building scalable applications  
• Familiarity with Google Cloud Platform (GCP)  
• Experience with Google BigQuery and dbt for data transformation  
• Understanding of AI-driven architectures and how to integrate LLMs into backend systems  
  
🔹 Nice-to-Have Experience:  
• Experience with LLMs, AI pipelines, or ML-based recommendation systems  
• Knowledge of vector databases and embedding-based search  
• Familiarity with AI-powered sports analytics or predictive modeling  
• Experience in small startup environments