New York law requires most employers to post a pay range.
At a glanceSummarised by Seekless from the posting.
Must have7
You're currently pursuing a degree in Computer Science or a related field
You have some hands-on experience building software — through 2 previous internships, coursework, personal projects, or hackathons
AI enthusiast: You have built or prototyped features with AI technologies (LLMs, embeddings, ML) and are interested in learning more at an AI forward company
Thoughtful problem-solving: For you, problem-solving starts with a clear and accurate understanding of the context. You can decompose tricky problems and work towards a clean solution, by yourself or with teammates. You're comfortable asking for help when you get stuck
You love to collaborate with others to ship high quality, thoughtful features. You're curious about talking to customers, thinking through different approaches, and working with teammates to find the right solution
Diversity of perspectives and interests. We hope to build a team that is curious, and open-minded
You're familiar with some of our tech stack, or excited to learn quickly. Our current tech stack is: React, Typescript, Python, Node.js, AWS services: Aurora (Postgres), Elasticache (Redis), Elastic Container Registry (ECR), ECS (Fargate), Lambda, OpenSearch, IaC: Terraform, Deployment tools: CircleCI, Netlify, Playwright, Observability tools: Cloudwatch, Datadog, Mezmo
Skills
Python
React
Typescript
Node.js
AWS
Aurora
Postgres
Elasticache
Redis
ECR
ECS
Fargate
Lambda
OpenSearch
Terraform
CircleCI
Netlify
Playwright
Cloudwatch
Datadog
Mezmo
LLMs
embeddings
ML
About Clay
AI is unleashing the biggest wave of company creation in history. Clay’s mission is to be the engine those companies use to grow to their full potential.
Clay predicts the next best action for your business and then helps you take it. We started by aggregating the best data for B2B companies. Then, we built the infrastructure to run any personalized campaign on top of it, including emails, ads, landing pages, and workflows that make reps more productive. Now, we’re building agents that can help grow your company for you. We’re already helping thousands of customers — including Anthropic, OpenAI, Google, and Visa — go to market with unique data, signals, and AI research.
In 2026, we raised a $115M Series D at $7.1B Valuation led by Wellington — and are on track to cross $200M in revenue this quarter. We also launched a $1M Scholarship fund for GTME Education.
Some things to know about us:
•
Our community includes 17,000+ customers, 200+ integration partners, 125+ agencies, 50+ Clay clubs, and 30k members on Slack.
•
Our cultureis unique inside and outside of work. Our team members are also DJs, activists, writers, clowns, marathoners, skydivers, psychedelic therapists, social workers, and more.
•
All employees can work with world-class coaches who specialize in creativity, management, and more.
•
Our operating principles — including negative maintenance and non-attached action — guide our work. Read more about them here.
•
Read about us in the NYT, Forbes, First Round Review, and more.
Hear from our employees directly on our Glassdoor page!
Qualifications
•
You’re currently pursuing a degree in Computer Science or a related field
•
You have some hands-on experience building software — through 2 previous internships, coursework, personal projects, or hackathons.
•
AI enthusiast: You have built or prototyped features with AI technologies (LLMs, embeddings, ML) and are interested in learning more at an AI forward company!
•
Thoughtful problem-solving: For you, problem-solving starts with a clear and accurate understanding of the context. You can decompose tricky problems and work towards a clean solution, by yourself or with teammates. You’re comfortable asking for help when you get stuck.
•
You love to collaborate with others to ship high quality, thoughtful features. You’re curious about talking to customers, thinking through different approaches, and working with teammates to find the right solution.
•
Diversity of perspectives and interests. We hope to build a team that is curious, and open-minded.
•
You’re familiar with some of our tech stack, or excited to learn quickly. Our current tech stack is: