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Senior Solutions Engineer, New Business

🔥 5 minutes ago

🇩🇪 Germany – Remote

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

Where this job comes from

Posted on Redwood Software's careers page, not through a job board

First seen by Remote Rocketship 5 minutes ago

Logo of Redwood Software

Redwood Software

501 - 1000 employees

Founded 1993

☁️ SaaS

🏢 Enterprise

🤝 B2B

SaaS • Enterprise • B2B

Redwood Software is a cloud-native enterprise software company that provides workload automation and service orchestration platforms (RunMyJobs) to automate and orchestrate business processes across SAP, ERP, cloud and on-premises systems. Its SaaS offerings include job scheduling, managed file transfer, finance/record-to-report automation, DevOps and data orchestration, with low-code tooling, deep SAP integrations, and enterprise-grade security and support.

📋 Description

• Present and position Redwood's capabilities across IT workload automation, IT workflow orchestration, data orchestration, citizen/self-service automation, and DevOps automation. • Deliver technical presentations and live product overviews connecting AI capabilities to operational outcomes. • Use LLM-based research, prompt-driven workflows, and AI productivity tools for demo preparation, account research, competitive analysis, and technical documentation. • Develop understanding of the SOAP competitive landscape, articulate differentiation, handle objections, and analyze wins and losses. • Lead hands-on proof-of-concept work, including light scripting with REST APIs, Python, or bash. • Provide technical insight, SOAP market context, and prospect feedback to Account Executives. • Deepen knowledge of the SOAP and AI landscape and apply it in prospect conversations. • Represent Redwood professionally and uphold high ethical standards in customer-facing work.

🎯 Requirements

• 3+ years in a pre-sales, solutions engineering, or adjacent technical role in enterprise software — Process Automation, ERP, Data Integration, Business Intelligence, ESB, or similar. • Working knowledge of REST APIs and comfort with light scripting (Python, bash, or equivalent). • Demonstrated, hands-on use of AI tools in a professional context — LLMs, prompt-based workflows, AI-assisted research, AI productivity tooling. • Familiarity with agentic AI and AI orchestration concepts, including multi-agent systems and LLMs embedded into enterprise workflows. • High-level ERP literacy across Financials, Procure to Pay, Plan to Build, Quote to Cash, Reporting, and Data Quality. • Ability to bridge technical depth and business value and communicate with enterprise architects and executive stakeholders. • Bachelor's degree from an accredited college or university. • Resourceful, competitive, goal-oriented, detail-oriented, adaptable, and able to communicate clearly. • Prior exposure to workload automation, job scheduling, enterprise orchestration platforms, SAP environments, data orchestration, DevOps toolchains, Customer Success, Technical Support, or Professional Services is a head start, not a hard filter.

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