Forward Deployed Engineer (EMEA)

smartcatplatforminc; United States; Remote; USD 120,000 - 160,000; Full time

Benefits offered by this job

Remote-friendly

Global organization

AI-powered culture

High growth

Job summary

SmartCat Platform Inc is seeking an engineer to join a customer-facing team that shapes how enterprises automate multilingual content workflows across learning, websites, and marketing. You will blend hands-on coding with technical discovery, integration delivery, and enablement to embed AI-powered translation and localization in complex stacks.

You will work closely with enterprise users from scoping to renewal, own production readiness, and help drive adoption through enablement and measurable

Qualifications

• Track record shipping software, integrations, or automation for enterprise customers.
• Hands-on coding skills spanning APIs, authentication, webhooks, data transformation, version control, testing, and debugging.
• Experience building AI workflows and evaluating them across quality, reliability, latency, cost, failure handling, and human review.
• Clear communication with technical and business stakeholders, plus the judgment to scope ambiguous requests, explain tradeoffs, and manage expectations.
• Ownership mindset covering deployment, documentation, enablement, and adoption.
• Practical use of AI in your own engineering work, with localization or translation technology experience valued and domain curiosity essential.

Responsibilities

• Translate customer objectives into technical plans with clear dependencies, acceptance criteria, and measurable outcomes.
• Build AI-driven localization workflows that combine prompts, glossaries, translation memories, and human review to satisfy terminology, brand, and quality standards.
• Develop and deploy integrations with content, asset, product, learning, and commerce systems while preserving structure, metadata, and context.
• Own production readiness, including secure data access, testing, error handling, monitoring, quality evaluation, and review routing, then document solutions and agree on long-term ownership.
• Partner with Account teams to drive enablement and adoption, measure impact against baselines, and surface follow-on workflow opportunities.
• Convert field work into reusable connectors, evaluation suites, and deployment patterns that inform product and engineering priorities.

Skills

Shipping software

API coding

AI workflows

Stakeholder comms

Ownership mindset

AI in engineering

Travel readiness

Tools

Git

CI/CD

Webhooks

Job description

Role overview

Join a customer-facing engineering team shaping how enterprises automate multilingual content workflows across learning, websites, and marketing. You will combine hands-on coding with technical discovery, integration delivery, and ongoing enablement to embed AI-powered translation and localization into complex enterprise stacks. The position carries significant customer responsibility from scoping through renewal and is structured for engineers who enjoy working shoulder-to-shoulder with enterprise users.

Responsibilities

• Translate customer objectives into technical plans with clear dependencies, acceptance criteria, and measurable outcomes.
• Build AI-driven localization workflows that combine prompts, glossaries, translation memories, and human review to satisfy terminology, brand, and quality standards.
• Develop and deploy integrations with content, asset, product, learning, and commerce systems while preserving structure, metadata, and context.
• Own production readiness, including secure data access, testing, error handling, monitoring, quality evaluation, and review routing, then document solutions and agree on long-term ownership.
• Partner with Account teams to drive enablement and adoption, measure impact against baselines, and surface follow-on workflow opportunities.
• Convert field work into reusable connectors, evaluation suites, and deployment patterns that inform product and engineering priorities.

Requirements

• Track record of shipping software, integrations, or automation for enterprise customers, with demonstrated ability valued over formal credentials.
• Hands-on coding skills spanning APIs, authentication, webhooks, data transformation, version control, testing, and debugging.
• Experience building AI workflows and evaluating them across quality, reliability, latency, cost, failure handling, and human review.
• Clear communication with technical and business stakeholders, plus the judgment to scope ambiguous requests, explain tradeoffs, and manage expectations.
• Ownership mindset covering deployment, documentation, enablement, and adoption.
• Practical use of AI in your own engineering work, with localization or translation technology experience valued and domain curiosity essential.
• Willingness to travel up to 40% across the EMEA region.

Nice to have

• Prior exposure to learning management systems, digital asset management, or marketing technology stacks.
• Familiarity with enterprise content operations, brand voice enforcement, or multilingual review workflows.

Benefits and work setup

• Remote-friendly arrangement within a globally distributed organization spanning 30+ countries and several regional hubs.
• Customer-facing teams are prioritized around proximity to enterprise customers.
• AI-native operating culture that encourages every team member to build and manage their own AI agents.
• High-growth environment within the multilingual content technology space, reporting consistently strong year-over-year revenue expansion.