GTM Engineering: The Technical Bits — Everett Berry, Clay
AI Engineer World's Fair 2026 · 19:04
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AI-powered go-to-market infrastructure
Clay
Clay builds go-to-market infrastructure for sales, marketing and operations teams. Its marketplace connects more than 200 data and AI providers, while Claygents research accounts, score leads and draft personalized outreach. Audiences brings internal and external data together; Workflows, introduced in open beta in 2026, routes records through enrichment, agents and conditional logic, then writes results back to Audiences. Teams can use these capabilities to refresh CRM records, qualify inbound leads and trigger email or advertising campaigns.
Founded in 2017, Clay initially combined spreadsheet interfaces, data ingestion and functional programming to help business users automate operations. CEO Kareem Amin and co-founder Varun Anand, who joined in 2021, subsequently focused the company on go-to-market work. Its enrichment waterfalls query providers in a configured sequence to avoid duplicate tasks and unnecessary credit spending. Claygent Builder lets teams create agents conversationally, test them on production data and reuse research methodologies as shared skills.
In September 2026, Clay reported more than 17,000 customers, including Anthropic, OpenAI, Stripe, Visa, Siemens and UPS. The company reached $100 million in annual recurring revenue in December 2025 and raised $115 million in Series D funding at a $7.1 billion valuation in 2026. Its platform connects CRM history, product usage and campaign engagement with external signals such as hiring activity and job changes, giving teams context they can reuse across growth workflows.
Explore the recordings
Clay’s supplied recording archive contains one talk, with several useful paths through it: GTM data infrastructure, persistent agents, and execution constraints. This guide describes what the recording presents; it does not establish Clay’s current capabilities or product status.
Start with the data and orchestration foundations
For the infrastructure path, watch GTM Engineering: The Technical Bits — Everett Berry, Clay. Berry frames GTM engineering around removing constraints on iteration, then examines combining first- and third-party data, refreshing fields, resolving entities, and evaluating provider coverage and accuracy. Follow this into his discussion of synchronization across CRMs, warehouses, and outreach tools, and his description of Clay’s graph-based orchestration approach at the time of the recording.
Explore agents across a long deal cycle
For an agent-design path through the same talk, focus on Berry’s proposal for a persistent agent per account: dormant between triggers, able to ingest context, accept feedback, and retain state over weeks or months. He identifies continual learning and next-best-action selection as unresolved areas in the recording. Use this discussion to explore the design questions; it is not evidence that those problems are solved today.
Connect automation to execution and human oversight
For rollout considerations, follow Berry’s execution discussion and Q&A. He discusses cold-email performance, sender and domain reputation, reply routing from alternate domains, and coordination across calling, email, and lifecycle marketing. His Q&A highlights the human-agent interface as a rollout challenge and extends the GTM engineering framing to inbound work. These are recorded observations and arguments, rather than verified present-day market conditions.
1 talk
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