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Maneva AI

Forward Deployed Engineer - Enterprise (USA)

Posted 7 Days Ago
Remote
Hiring Remotely in United States
Mid level
Remote
Hiring Remotely in United States
Mid level
Own the technical relationship with manufacturing customers from discovery through production handover. Scope and implement integrations between edge AI and enterprise IT/OT (ERP, cloud, APIs), build full-stack web tooling, deploy and commission edge vision models (Jetson/industrial PCs), bridge IT/OT teams, write production Python integration code, and support long-term monitoring and retraining.
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We are hiring two Forward Deployed Engineers to anchor our enterprise accounts in the US South and South-Central regions. Responsible for owning the full technical relationship with a set of large manufacturing customers.

The FDE is Maneva's primary technical presence from the first discovery session through long-term production handover. You will scope the integration, design the architecture, write the code, commission the hardware, manage the customer relationship, and define what "done" means.

The enterprise variant of this role sits at a heavier software integration surface than our standard FDE position. The accounts are larger, the stakeholder maps are more complex, and the integration work extends beyond edge hardware into customer IT infrastructure — APIs, cloud platforms, ERP systems, data pipelines, and customer-facing web interfaces. You will build full-stack web tooling as part of customer deployments — dashboards, configuration UIs, monitoring views — and will be expected to hold credible technical conversations at the application architect and IT director level, not just with automation engineers and plant managers.

What You Will Do

Customer Engagement — Discovery Through Handover

  • Run technical discovery workshops with manufacturing customers independently — floor walks, process mapping, inspection point identification, constraint documentation
  • Translate floor observations into structured ROI analyses and architecture recommendations for both technical and non-technical stakeholders
  • Scope and own the integration project from kickoff through production go-live and long-term support handoff
  • Write runbooks, train customer teams, define monitoring thresholds and retraining triggers as part of every handoff

Software Integration

  • Design and implement integrations between Maneva's edge AI platform and customer IT/OT infrastructure — APIs, ERP systems (SAP, Oracle), cloud platforms (AWS, Azure, GCP), and data pipelines
  • Architect solutions that bridge the OT/IT boundary: edge compute, industrial networking, cloud connectivity, and data flow from line to enterprise systems
  • Build and deploy full-stack web applications as part of customer deployments — operational dashboards, monitoring interfaces, configuration tooling — using modern frameworks (React, Next.js, or equivalent); own front-end and back-end
  • Own the full software stack at the customer site — inference pipeline, data ingestion, integration layer, web interface, monitoring
  • Build customer-specific integration code in Python that is production-grade, documented, and maintainable without you in the room

Edge ML and Vision Deployment

  • Deploy Maneva's computer vision models on edge hardware (NVIDIA Jetson, industrial PCs) at customer sites
  • Participate in camera and lighting specification; work with the solutions team on optical integration decisions
  • Commission and validate vision systems on the factory floor under real production conditions
  • Monitor deployed systems, define drift thresholds, and manage retraining cycles

OT Engagement

  • Hold productive technical conversations with customer automation teams on PLC architecture, OPC-UA tag structures, and industrial network constraints — without needing an OT specialist in the room
  • Bridge the IT/OT gap for the customer: help their automation team understand what Maneva needs from the OT layer, and help their IT team understand what the floor environment requires
  • You do not need to write ladder logic. You do need to understand why the PLC scan cycle matters and what questions to ask

Requirements
  • 4+ years of production software engineering experience — you have shipped systems to customer or production infrastructure, not just internal tools
  • Full-stack web development fluency — you have built and deployed production web applications end-to-end
  • Demonstrated customer-facing engineering experience: you have owned a technical engagement with an external customer, not just delivered a pre-scoped task
  • Fluency in production software practices: Linux, Docker, Git, CI/CD in real deployments; you own your stack through go-live
  • Enterprise systems integration experience: you have integrated software systems across organizational boundaries — APIs, cloud platforms, ERP, or data pipelines — in a production context
  • Enough manufacturing or industrial environment exposure to hold a credible floor conversation
  • Eligible to work in the United States
  • Comfort with 50%+ regional travel to manufacturing customer sites in the US South and South-Central

Strong Positive Signals

  • Experience deploying ML inference on edge hardware (Jetson, industrial PC)
  • Hands-on involvement in industrial vision system integration — camera selection, lighting, on-site commissioning
  • OPC-UA, Modbus TCP, or SCADA integration experience
  • ERP integration at the application layer (SAP, Oracle Manufacturing Cloud)
  • Cloud IoT or MLOps experience (AWS IoT Greengrass, Azure IoT Hub, SageMaker, or equivalent)
  • Prior FDE, solutions engineer, or field application engineer experience in a manufacturing or industrial context
  • Experience at an industrial AI, machine vision, or IIoT company

Benefits
  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)

Maneva is an equal opportunity employer. We evaluate candidates based on demonstrated ability, not credentials or pedigree.

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