Software Engineer, Data Products & Platform
Claylabs · New York
About this role
**ABOUT CLAY AI** Clay is building the engine that helps companies grow to their full potential. Clay predicts the next best action for your business and helps you take it—starting with aggregating the best B2B data, then building infrastructure for personalized campaigns (emails, ads, landing pages, and workflows), and now building agents to help companies grow. Clay already supports thousands of customers (including Anthropic, OpenAI, Google, and Visa) with unique data, signals, and AI research. In 2026, Clay raised a **$115M Series D** (led by Wellington) and is on track to cross **$200M in revenue** this quarter. Clay also launched a **$1M Scholarship fund** for GTME Education. **THE ROLE** Clay’s **Data Platform** team doesn’t sit behind the product. You’ll build **data products customers use directly**, along with the shared systems that make each new one faster to build. The team’s first major product is a **live map of the working world**—companies, people, jobs, and how they connect. Because the world changes (jobs, mergers, renames, and stale facts), customers rely on you to turn fragmented, conflicting data into **reliable information** they can search, enrich, and use in workflows at scale. This map is still evolving: there are gaps in coverage, relationships, and uneven representation. Each gap can become a new data product—and anything the team ships lands in front of thousands of customers the week it launches. --- ## What you’ll work on - **Decide what the data means**: evaluate sources, resolve conflicts, and model entities and relationships the product can trust. - **Explore and build new data products**: start from a customer problem, prototype, test against real usage, and take it through to a product experience. - **Build the shared foundation**: define how data lands, gets modeled and versioned, how releases are evaluated, and how data reaches customers. - **Own how the data is served**: support interactive search, enrichment lookups, large result sets, and alerts when tracked companies or people change—with predictable performance. - **Build with models (not just around them)**: decide when model-based approaches beat deterministic pipelines, prove correctness, and make it economical across millions of records. - **Make quality a product decision**: measure coverage, correctness, freshness, and traceability back to sources; build the harness that determines whether answers are good enough to ship. --- ## What success looks like - Customers can ask Clay new kinds of questions and act on answers **without double-checking elsewhere**. - New data ideas can become product experiences **without rebuilding the foundation**. - Quality is measured against **real customer use**, not just whether a pipeline completed. - The team can change how datasets are built **without breaking** downstream products. --- ## What you’ll bring - **8+ years** of hands-on engineering experience building products customers rely on. - You enjoy being a **product-minded engineer**—driving and owning products end to end. - You’ve led ambiguous, cross-functional technical work from **problem framing through delivery**, creating clarity and scope for others. - You’re an empathetic communicator who can express nuanced ideas clearly for different audiences. - You love collaborating to ship high-quality features: talk to customers, consider multiple approaches, and care about craft (clear, maintainable code; reusable patterns). - You value d
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