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A Forward Deployed Engineer (FDE) doesn’t just implement—you build. You don’t just visit customers—you embed with them. And you don’t measure success in features shipped—you measure it in outcomes delivered. You’ll sit side-by-side with our customers’ HR and payroll teams, understand their real-world problems, and build the workflows, integrations, and AI-driven automations that create measurable value. Think of yourself as a technical co-founder for each customer’s automation journey: write production code, wire up AI workflows, and own the result until it genuinely works in production. It’s also a flywheel. What you learn with one customer becomes a pattern we can generalize into the product for the next hundred, so your work compounds far beyond a single account.
Job Responsibility
Embed with customers: work directly with HR, payroll, and operations stakeholders, from analysts to executives, to understand their environment and problems deeply
Build, don’t just configure: develop custom integrations, data pipelines, scripts, and end-to-end workflows
take them to production and make them stick
Make AI actually work: design, deploy, and tune AI-driven HR and payroll automations for each customer’s specific reality. AI rarely works out of the box, and you’re the one who makes it deliver
Own outcomes: define success by the customer’s business metrics, such as time saved, errors eliminated, and adoption, not technical milestones, and drive to them
Close the loop with product: feed real customer patterns back to our product and engineering teams so one-off solutions become platform capabilities
Move fast across the stack: diagnose, prototype, and ship in tight cycles, often in ambiguous and evolving situations
Requirements
Strong engineering ability: a capable coder in Python, JavaScript/TypeScript, or similar, and comfortable with HTTP and RESTful services
Hands-on experience with AI tooling: building, integrating, or deploying AI/LLM-powered workflows, with the instinct for what it takes to make them reliable in the real world
Excellent communication with both technical and non-technical stakeholders: you can talk schema with an engineer and ROI with a CHRO in the same meeting
A bias for ownership and outcomes
comfort with ambiguity and a high tolerance for messy customer environments
Willingness to spend meaningful time embedded with customers, both on-site and remote
Nice to have
Experience in solutions, forward-deployed, professional-services, or technical co-founder-style roles
Familiarity with HR, payroll, or other data- and compliance-heavy domains
Experience with data integrations, ETL, and cloud platforms such as AWS
Bachelor’s degree in Computer Engineering or a related technical field