Maneva

Account Executive

• Proactively generate pipeline through cold outbound, including calls, emails, and LinkedIn-based sequencing.
• Build and execute a territory plan targeting manufacturing plants and multi-site manufacturers aligned with Maneva’s ICP.
• Leverage tools such as Apollo, Salesforce, and LinkedIn Sales Navigator to run disciplined, repeatable outbound campaigns.
• Maintain high daily outbound activity and consistently create new opportunities without reliance on inbound leads.
• Engage directly with manufacturing stakeholders, including engineering, operations, plant leadership, quality, and IT.
• Conduct discovery conversations that uncover real operational pain on the factory floor.
• Translate technical capabilities into clear business and ROI-driven value propositions.
• Confidently discuss AI, vision systems, data, and operational workflows with technical buyers.
• Own the sales process end-to-end: prospecting, discovery, demos, business case development, negotiation, and close.
• Manage sales cycles typically ranging from 60–150 days, with discipline around qualification and deal velocity.
• Navigate multi-stakeholder buying committees and maintain momentum through procurement and approval processes.
• Partner closely with product, engineering, and leadership to refine messaging and sales strategy.
• Provide structured feedback from the field to inform product roadmap and go-to-market evolution.
• Help evolve Maneva’s sales playbook as the company scales.

Strategic Enterprise Account Executive

Engineer

• 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
• 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
• 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
• 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

Forward Deployed Engineer – Enterprise

• Own the end-to-end lifecycle of AI deployment for manufacturing clients, from scoping and integration to production hardening and handover.
• Embed with customer operations and IT teams, serving as the main technical advisor and point of contact.
• Integrate AI vision systems with OT/IT/cloud stacks, including OPC-UA/Modbus/PLCs, NVIDIA Jetson edge inference, ERP, and customer cloud platforms.
• Build and iterate data pipelines and customer-side data flywheels, covering edge-to-cloud capture, model deployment, monitoring, and feedback loops.
• Troubleshoot software, networking, and integration issues in live production environments.
• Document architectures and configurations, producing formal handover artifacts for long-term support.
• Train customer operators and engineers in both French and English to ensure successful adoption and operation of deployed systems.
• Participate in pre-sales scoping calls and contribute field learnings to the product and engineering roadmap, helping shape reusable deployment patterns and internal tooling.
• Support on-site data collection and annotation as needed.

Strategic Enterprise Account Executive

Forward Deployed Engineer – Enterprise

Forward Deployed Engineer, United States