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Clay is a creative tool for growth. Our mission is to help businesses grow — without huge investments in tooling or manual labor. We’re already helping over 100,000 people grow their business with Clay. From local pizza shops to enterprises like Anthropic and Notion, our tool lets you instantly translate any idea that you have for growing your company into reality.
We believe that modern GTM teams win by finding GTM alpha—a unique competitive edge powered by data, experimentation, and automation. Clay is the platform they use to uncover hidden signals, build custom plays, and launch faster than their competitors. We’re looking for sharp, low-ego people to help teams find their GTM alpha.
Why is Clay the best place to work?
Customers love the product (100K+ users and growing)
We’re growing a lot (6x YoY last year, and 10x YoY the two years before that)
Incredible culture (our customers keep applying to work here)
Well-resourced - We raised a $100M Series C in 2025 at a $3.1B valuation and are backed by world-class investors like Capital G (Google), Sequoia and Meritech
Read more about why people love working at Clay here and explore our wall of love to learn more about the product.
Software Engineering, Backend @ ClayGiven our rapid growth over the past couple of years, we often have to solve pressing scaling problems to accommodate the increased load. As a Software Engineer on the Performance team, you'll be responsible for identifying these problems and then developing systems that optimize the throughput and reliability of our core systems. Strong candidates here will have a track record of solving large-scale systems problems and laying the foundation for performance observability.
What You'll DoPerform comprehensive analyses of our systems to identify and address performance bottlenecks.
Create and monitor meaningful performance metrics for various components of our services
Advise other teams within engineering on scalable and performant feature design and implementation
Address critical scalability challenges such as sharding Postgres and Redis, splitting ECS tasks into multiple services to scale independently, and addressing Node event loop blockages.
A results-oriented mindset and a bias toward impact
Experience in API latency optimization
Experience with SQL and related technologies, preferably Postgres
Experience in a role with a focus on performance aspects
Experience in query optimization and schema design for relational databases and distributed search engines
Expertise in any of the following: Redis, Postgres, ElasticSearch, or Opensearch
Diversity of perspectives and interests. We hope to build a team that is curious, and open-minded.
Experience working with systems & data at scale. May be building large-scale high-performance data pipelines, event ingestion systems, or generally working with larger production systems
Advanced proficiency in optimizing serverless workloads on AWS
Experience with our current tech stack:
React, Typescript, Python
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
