Forward Deployed Engineer
HighRadius - Houston, Texas, United States
Posted Apr 24, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
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- 401(k) match
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
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About this role
Forward Deployed Engineer Houston, Texas, United States Summary - About HighRadius: HighRadius guarantees Value Creation for the Office of the CFO with a single Agentic AI platform. The platform integrates 180+ AI agents that orchestrate end-to-end processes across Order-to-Cash, Close & Reconciliation, Consolidation & Reporting, Accounts Payable, B2B Payments, and Treasury. Each agent is tied to measurable KPIs, ensuring real outcomes in just 3-6 months across 1,300+ Global Enterprises. - Location: Houston, TX (HQ) - On-site | Travel: Up to 50% (Client Sites) Target Majors: Industrial Engineering, Computer Science, Data Science, or Management Information Systems (MIS). About the Role - Run Customer Engagements: As a Forward Deployed Engineer (FDE) at HighRadius, you are the bridge between our AI platform and the world's largest enterprise finance departments. You will be "deployed" to solve financial challenges using Autonomous AI Agents. - Deploy Agents: You will own the end-to-end technical lifecycle from analyzing client datasets to configuring proprietary algorithms that automate financial transactions. Your Day-to-Day: The "Build & Deploy" Cycle - Data Intelligence: Use HighRadius's AI agents to process large data sets to uncover hidden patterns in the client's Order-to-Cash (O2C) process and design the future-state architecture. - AI Strategy & Design - Outcome-based Design : Identify and iterate on AI algorithms based on client feedback to reach a final outcome based on a "Value-Driven" design. - KPI Engineering: Define the Key Performance Indicators (KPIs) and target metrics that will prove the ROI of the solution. - Algo Configuration - Platform Configuration: Hands-on
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