Forward Deployed Engineer

TradeEngage, Inc.
United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$125,000.0 - $200,000.0
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Customer Data Management Data Migration Cursor Software Debugging Github Python (Programming Language) Software Engineering SQL Databases Large Language Models Claude Code
+3 more
Backend Front End Software Development Api Management

Requirements

  • 3+ years of software engineering, including customer-facing delivery as a forward-deployed, solutions, or implementation engineer \n

  • Strong production coding skills in Python and SQL, and comfortable across backend and frontend \n

  • Built and maintained third-party API integrations in production \n

  • Led customer data migrations \n

  • Customer-facing and technically exceptional. You’re equally comfortable in a stakeholder call and a stack trace \n

  • Bias to unblock. When a customer is stuck, you own it until they’re not, whether the fix is in our code, their configuration, or a third-party integration, * Excellent communicator. You can explain a technical tradeoff to a non-technical customer and write a clear handoff for the product team

Benefits & conditions

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  • Lead the technical side of enterprise deployments from kickoff through go-live \n

  • Scope requirements and integrations directly with customer IT, operations, and executive stakeholders \n

  • Build and harden integrations with ServiceTitan, Housecall Pro, Jobber, and other field service platforms against live customer data \n

  • Write data migration and onboarding tooling that sets up hundreds of locations, users, and service areas at once \n

  • Build custom workflows and reporting for enterprise accounts \n

  • Support security reviews and vendor IT questionnaires during enterprise procurement \n

  • Debug production issues in real customer data: auth, pagination, rate limits, and unreliable upstream systems \n

  • Turn repeated customer work into shared tooling and core product with the product and engineering team \n

  • Travel to customer sites as needed \n

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