Software Engineer, (Full Stack) Product

Clay Labs•New York, NY

1d•$170,000 - $300,000

About The Position

Clay's mission is to help organizations turn any growth idea into reality, viewing growth as a creative practice. The company is experiencing rapid growth, having raised $100M in Series C funding in 2025 and achieving over $100M in revenue. They also announced a second employee tender offer in 2026 at a $5B valuation and launched a community equity round. Clay boasts a large community of over 11,000 customers, 150+ integration partners, 125+ agencies, and 30k Slack members. The company culture values diversity, with team members having varied interests and professions outside of work. All employees have access to world-class coaches specializing in creativity and management. Clay's operating principles, such as negative maintenance and non-attached action, guide their work. The company has been featured in publications like the NYT and Forbes, and employee testimonials are available on their Glassdoor page.

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
Experience with AWS services: Aurora (Postgres), Elasticache (Redis), Elastic Container Registry (ECR), ECS (Fargate), Lambda, OpenSearch
Experience with IaC: Terraform
Experience with deployment tools: CircleCI, Netlify, Playwright
Experience with observability tools: Cloudwatch, Datadog, Mezmo

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.