Location: Hybrid in San Francisco or London — open to exceptional candidates anywhere
Team: Engineering
Experience: 5+ years
Compensation: Competitive salary + Metrics-Based Bonus + Equity
Other perks: Unlimited holiday
Visit our site →
CRED is redefining how companies access and act on intelligence. We centralize internal and external data, enrich it with insights, and power AI agents that drive better business decisions. From predictive GTM tooling to real-time data enrichment, our platform is built for speed, scale, and adaptability.
We’ve just raised a $10M+ seed round, are working with iconic partners like the PGA and Golden State Warriors, and are scaling up our technical team.
As a Backend Engineer, you’ll architect and scale the systems that fuel our AI products — powering everything from LLM agents to customer intelligence dashboards. You’ll work with large datasets, high-velocity event pipelines, and a modern stack including GraphQL, BigQuery, JavaScript, and Python.
Design, build, and optimize GraphQL APIs that power real-time, data-rich interfaces
Work across our data platform — ingesting, transforming, and querying massive datasets (primarily in BigQuery)
Develop backend systems in JavaScript/TypeScript (Node.js) with Python components as needed
Partner closely with frontend, AI, and product teams to support weekly sprint cycles and deliver new features quickly
Build infrastructure for data ingestion, enrichment, and delivery across internal and customer-facing tools
Optimize performance and scalability of our backend systems as the platform evolves
Collaborate on architectural decisions and shape our engineering best practices
We run on weekly sprints, short feedback loops, and a tight-knit, collaborative culture. You’ll ship quickly, iterate constantly, and work across the stack to unblock teams and deliver outcomes. Autonomy, speed, and clarity are core to how we operate.
5+ years of backend development experience, ideally in fast-paced product environments
Proficiency in GraphQL, BigQuery, and JavaScript/TypeScript (Node.js)
Comfortable working with structured and unstructured data — you know how to make data useful and fast
Experience building APIs and services that are performant, secure, and scalable
Familiarity with Python — especially for data manipulation or integration tasks
Strong collaboration skills and a bias for shipping
Startup mindset — proactive, resourceful, and thrives in ambiguity
Experience integrating with LLM or agent-based systems
Built systems for sales intelligence, customer data platforms, or internal tools
Familiarity with cloud infra (GCP/AWS), observability tools, and CI/CD workflows
Comfort owning data pipelines end-to-end, from ingestion to query optimization
Open-source contributions or personal backend/data projects
You’ll help define the backend that powers one of the world’s most ambitious AI business platforms. You’ll work with large, complex datasets, modern tooling, and a team that’s focused on solving meaningful problems. If you want to build infrastructure that makes real-time intelligence possible — and do it with autonomy, speed, and impact — we’d love to hear from you.
Apply now or reach out to [email protected] with questions.
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