Forward Deployed Engineer (US)

About the role

About Smartcat

Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world’s leading enterprises.

We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one.

Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale.

Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us.

Join us in unlocking global potential, one human and agent team at a time.

THE ROLE

You’ll build and deploy customer translation and localization workflows, lead technical discovery and demos, guide onboarding, and support renewals by demonstrating value and resolving technical blockers. This is a hands-on engineering role with substantial customer-facing responsibility. You’ll focus on enterprise workflows in learning and development (L&D), websites, and marketing.

WHAT YOU’LL DO

- Scope customer needs into technical plans with clear dependencies, acceptance criteria, and measurable outcomes.

- Build AI workflows using prompts, glossaries, translation memories, and human review to meet customer terminology, brand, and quality requirements.

- Write and deploy integrations with CMS, DAM, PIM, LMS, and commerce systems, preserving content structure, metadata, and context.

- Own production readiness: secure data access, testing, error handling, monitoring, quality evaluation, and review routing. Document the solution and agree ongoing ownership.

- Support customer enablement and adoption with Account teams, measure results against the baseline, and identify valuable follow-on workflows.

- Turn customer work into reusable connectors, evaluation suites, and deployment patterns, and inform Product and Engineering priorities.

EXAMPLE PROJECTS

- L&D workflows: automate localization of courses, training materials, and learning content, from source files through review and delivery into the customer’s LMS.

- Website workflows: connect the CMS to translation, review, and publishing so new and updated pages stay current across languages.

- Marketing workflows: localize campaign assets, emails, and product content, applying brand voice and terminology with market-specific review and approval.