Software Engineer, (Full Stack) Product
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