SWE Backend
Profound
Location
New York City
Employment Type
Full time
Location Type
On-site
Department
Engineering
About Profound
Profound is an NYC-based AI startup helping brands measure and improve their visibility in AI platforms such as ChatGPT. We partner with some of the biggest brands and marketing agencies, including companies like MongoDB, Indeed, Mercury, DocuSign, Zapier, Ramp, Rho, Golin, Workable, Mejuri, Eight Sleep, G2, US Bank, Chime, and Clay.
We recently raised a $20 million Series A led by Kleiner Perkins with participation from NVIDIA, Khosla Ventures, Saga Ventures, South Park Commons, and SV Angel, as well as angel investors including Guillermo Rauch (Vercel) and Andrew Karam (Applovin).
Learn more at tryprofound.com.
Profound is on a mission to help companies understand and control their AI presence. As a Backend Engineer, you’ll build and optimize the infrastructure that powers our AI-driven insights. You’ll design scalable APIs, process large datasets efficiently, and ensure high-performance systems that help businesses take control of their AI presence.
What You’ll Do
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.
Who You Are
A strong portfolio or GitHub showcasing backend development expertise.
Proficient in Node.js, Python, or Go, with experience in scalable backend architecture.
Deep understanding of databases (PostgreSQL, MySQL, or NoSQL alternatives) and query optimization.
Experience designing efficient data pipelines and working with distributed systems.
Familiarity with cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
Strong grasp of security best practices, API authentication, and performance tuning.
Comfortable in a fast-moving, high-performance startup environment.
This is an on-site role in our Union Square office—designed for builders who thrive on speed, iteration, and impact.