Character AI-posted 3 months ago
Redwood City, CA
51-100 employees
Professional, Scientific, and Technical Services

Character.ai is looking for a talented and motivated Backend Engineer to be a founding member of our Monetization team. You will be responsible for building and maintaining scalable, high-performance backend systems that power our monetization infrastructure, including payments, subscriptions, and revenue optimization. Collaborating with designers, data science, and ML researchers, you'll play a key role in conceptualizing, designing, and delivering groundbreaking AI experiences that drive our monetization efforts.

  • Design, develop, and maintain scalable backend services for our monetization platforms, including payments, subscription management, and advertising.
  • Implement secure and efficient APIs to support frontend applications and third-party integrations.
  • Optimize and enhance revenue-related workflows, including billing, invoicing, and fraud detection.
  • Work closely with product managers, data analysts, and frontend engineers to design monetization strategies that align with business goals.
  • Ensure high availability and reliability of payment processing systems.
  • Monitor system performance, troubleshoot issues, and implement improvements to optimize efficiency and scalability.
  • Maintain security best practices to protect user data and prevent fraud.
  • Stay up to date with industry trends and emerging technologies in fintech, payments, and monetization.
  • 3+ years of experience in backend development, with a focus on monetization, payments, or related domains.
  • Strong proficiency in programming languages such as Python, Java, or Go. Python and Go are preferred.
  • Experience with database technologies such as PostgreSQL, MySQL, or NoSQL solutions.
  • Familiarity with payment gateways (e.g., Stripe, PayPal, Adyen) and subscription management platforms.
  • Understanding of security standards and compliance frameworks like PCI-DSS and GDPR.
  • Experience with cloud services (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Strong problem-solving skills and the ability to optimize system performance and reliability.
  • Excellent communication skills and the ability to work effectively in a collaborative environment.
  • Experience with Large Language Models (LLMs) and their application in monetization strategies.
  • Experience with A/B testing and revenue optimization strategies.
  • Knowledge of event-driven architectures and messaging systems (Kafka, RabbitMQ, etc.).
  • Previous experience working on large-scale, high-traffic applications.
  • Exposure to machine learning or data-driven monetization strategies.
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