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# Industry Solutions Engineer

- **Company:** Cisco Systems, Inc.
- **Location:** Austin, TX, United States
- **Experience:** Expert
- **Salary:** $266,100.0 - $342,900.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cyber Security, Fraud Prevention and Detection, Supervisory Control and Data Acquisition (SCADA), Network Monitoring, SAP (Applications), Security Information and Event Management, Retrieval-Augmented Generation, Large Language Models, Generative AI, SAP Business Technology Platform, Agentic-AI, SAP S/4HANA, Splunk
- **Published:** October 10, 2026
- **Apply:** https://dejobs.org/x/x/D10910519953414FB1A6635BEFD4E933/job/

## About the Role

* 5+ years of experience in a pre-sales, solutions engineering, or technical consulting role, with significant time spent supporting manufacturing or industrial customers.
 * Experience with OT/ICS environments (SCADA, PLCs, MES) and the IT/OT convergence security and monitoring challenges they create.
 * Experience with security operations (SIEM/SOAR), observability, or industrial monitoring platforms, with a foundation in data modeling and pipelines.
 * Experience integrating enterprise systems, specifically SAP ecosystems (SAP S/4HANA, SAP Integration Suite, or SAP BTP), with back-office and operational workflows.

Preferred Qualifications

 * Prior experience working inside a manufacturing company, industrial OEM, or OT security vendor, with familiarity in supply chain risk, product lifecycle, and industrial safety practices.
 * Ability to build trust with senior technical and operational stakeholders, using excellent presentation and whiteboarding skills to communicate complex technical details and executive-level business narratives.
 * Relevant industry certifications (e.g., GICSP, CISSP, Splunk Core Certified Power User/Architect) and familiarity with frameworks like IEC 62443 and NIST 800-82.
 * Experience with asset discovery and network monitoring tools purpose-built for OT environments, alongside Industrial IoT (IIoT) technologies.
 * Success in driving AI adoption, utilizing Agentic AI, LLMs, and Retrieval-Augmented Generation (RAG) to build internal tooling and automate business processes.
 * A background in Forward Deployed Engineering (FDE) and change management to ensure successful implementation and adoption of complex technical solutions.

## Description

Splunk's Industry Solutions Engineering organization is building deep, vertical-specific technical expertise into our go-to-market motion! As an Industry Solutions Engineer for Manufacturing, you will be the technical authority on how Splunk's AI-powered security and observability platform addresses the specific IT/OT convergence, production resiliency, supply chain, and industrial security challenges facing discrete and process manufacturers. Partner with account teams, industry sales leaders, and customers to translate manufacturing-specific operational and security requirements into differentiated technical solutions and win strategies. This is a high-visibility, individual-contributor role reporting into the Industry Solutions Engineering organization, working closely with core Solutions Engineering, industry go-to-market leadership, and product teams.

Your Impact

 * Serve as the lead technical expert on Manufacturing use cases, including OT/ICS security, production line uptime, supply chain visibility, quality/safety incident response, and IT/OT convergence.
 * Design and deliver tailored demonstrations, proofs of value (POVs), and reference architectures that map Splunk's platform to manufacturing environments, including SCADA, PLC, MES, and industrial IoT data sources.
 * Drive AI adoption and internal tooling initiatives to automate and optimize order processing, invoicing, sourcing, fraud detection, product ordering, and warehousing.
 * Architect and demonstrate seamless SAP integration (including SAP S/4HANA, SAP Integration Suite, and SAP BTP) to connect plant-floor operations with back-office systems.
 * Act as the voice of the Manufacturing vertical back into product management, influencing the roadmap based on customer, safety, and regulatory trends (e.g., NIST 800-82, IEC 62443) while leveraging Agentic AI, LLMs, and RAG for predictive maintenance and supply chain resilience.