Software Engineer, (Full Stack) Product

About Clay

Our mission is to help organizations turn any growth idea into reality. We see growth as a creative practice, not a formula. Finding and reaching your best-fit customers takes unique ideas and constant iteration. As AI makes execution faster and tactics easier to copy, creativity is the only lasting advantage. We're already helping thousands of customers — including Anthropic, Notion, Google, and Ramp — go to market with unique data, signals, and AI research.

In 2025, we raised a $100M Series C backed by world-class investors including Sequoia, CapitalG, and First Round — and crossed $100M in revenue. In 2026, we announced our second employee tender offer in 9 months at a new $5B valuation. We also launched a community equity round, for our customers, agency partners, and club members.

About Us

• Our community includes 11,000+ customers, 150+ integration partners, 125+ agencies, 50+ Clay clubs, and 30k members on Slack.
• Our culture is 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 for free 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!

Responsibilities

• Perform 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.

Requirements

• 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.

Nice To Haves

• 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