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Summary The Forward Deployed Engineer is a first-class builder who ships production code into Hatch's core codebase, internal tooling, and the integration layer that connects Hatch's products to client systems. The primary focus is Hatch's Voice AI product. "Forward deployed" describes where you work: embedded alongside our most strategic clients to understand their problems firsthand, identify where a client implementation problem points to a change in Hatch's core code, and ship improvements that make Hatch's voice product better for everyone. This is a code-level, hands-on role sitting close to customers. You partner directly with Product to work through implementations for Hatch's most strategic clients, translate what you learn into core product changes, and push those changes into production. You'll be deep in the build, held to production-grade standards, and given a genuine seat at the R&D table. This opportunity requires you to be located in the United States. We’d love to have you apply, even if you don’t feel you meet every single requirement in this posting. At Hatch, we’re looking for great people, not just those who simply check off all the boxes. What you'll do - Partner directly with sales execution to scope complex integration projects. Navigate the gap between a client's business objectives and what their technology ecosystem supports by diving deep into comprehensive developer documentation. - Ship production-quality code. Build features to a first-class bar, even when internal and never exposed to a client. Some of what you build will graduate to an R&D team to own; build it to that standard from the start. - Use and extend Hatch's existing tools and automation services to bring clients to success — writing code in our platform, building integrations and connectors that link Hatch to client systems (direct API integrations, webhook endpoints, event-based triggers), or building on existing automation tooling. - Own technically complex onboardings end-to-end: CRMs with no Hatch connector, multi-system orchestrations, custom business logic, and event-based triggers — all while looking for the reusable pattern underneath. No two implementations are exactly alike. - QA and test all implementations before go-live; own monitoring and iteration post-launch. Know when something you built breaks or degrades before the customer does. - Move fast and push fixes. Work largely unencumbered, pushing PRs into Hatch's codebase without heavy oversight. When you find a change that makes the product better, build it and ship it. - Work alongside Product to turn implementation learnings into the product. Help surface recurring patterns that call for dedicated R&D investment — and where something belongs natively, build the first-class version yourself and hand it off to an R&D team to own. - Act as a primary technical consultant for our clients, including onsite visits to understand their business needs, present architectural solutions, and ensure successful deployment. What it takes to succeed - 1-4 years of software engineering experience, with hands-on experience building or working with Voice AI systems. Consulting or client-facing experience is a plus. - Comfortable in Python and/or Elixir, with Go in scope and experience using and building on existing automation tooling, both internal and external (e.g., n8n), alongside core languages. - Proven ability to navigate a broad technology ecosystem and comprehensive developer documentation. You can tell the difference between a problem that warrants a change to Hatch's core code and one that should live in middleware or automation tooling. - Great communication skills with business and technical audiences. When requirements are ambiguous, you resolve them before building, not after. - Hold yourself to a high bar. Because you ship quickly and with real autonomy, correctness is on you. Implementations should be right, not