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Profound

AI answer-engine visibility analytics for brands

Member of Technical Staff - Backend

Backend EngineeringConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • At least 4 years of experience.
  • A strong portfolio or GitHub showcasing backend development expertise.
  • Proficiency in Node.js, Python, or Rust, with experience in scalable backend architecture.
  • Deep understanding of databases including PostgreSQL, MySQL, or OLAP databases, and query optimization.
  • Experience designing efficient data pipelines and working with distributed systems.
  • Familiarity with cloud infrastructure such as AWS, GCP, or Azure and containerization including Docker and Kubernetes.
  • Strong grasp of security best practices, API authentication, and performance tuning.
  • Comfort working in a fast-moving, high-performance startup environment.

Responsibilities

  • Architect and develop high-performance backend systems that support AI-driven analytics.
  • Build and maintain scalable APIs to power real-time insights and data retrieval.
  • Optimize data processing pipelines to handle large-scale structured and unstructured data.
  • Ensure system security, performance, and reliability at every level of the stack.
  • Work closely with front-end engineers and data scientists to deliver seamless, high-impact features.
  • Own key technical decisions, balancing speed with long-term maintainability.

About the Company

Profound

AI answer-engine visibility analytics for brands

Profound helps brands understand and improve how they appear in AI answer engines like ChatGPT, Perplexity, and Google AI Overviews. Its product started as an analytics layer for AI search visibility and now includes research and marketing workflows to track competitors, shape content plans, and measure how AI systems recommend products. The platform analyzes AI-generated results and provides workflows that teams use to plan content and assess impact, rather than just traditional SEO tools. Its goal is to help large enterprises own and improve visibility in AI-generated answers, differentiating itself with a focused AEO/GEO approach and a large, growing customer base.

Company size
201-500
Company stage
Series D
Total funding
$334.5M
Headquarters
New York City, New York
Founded
2024

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