Cynthia is in direct contact with the company and can answer any questions you may have. Email
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