RFP Manager – Centre of Excellence

About the role

DDN is hiring an RFP Manager for its Global Centre of Excellence, a strategic pre-sales function whose mission is to help field teams win complex, high-value opportunities. The role focuses on building an AI-driven function to drive strategic RFPs and RFIs, working with Account Teams, Product and other partners to turn complex customer needs into differentiated proposals. It is a chance to re-architect the RFP process from the ground up, making it smarter, faster and more scalable through automation and AI.

Key responsibilities

• Own and orchestrate high-priority RFPs and RFIs from kickoff through submission, setting the response strategy, managing timelines and closing gaps.
• Develop a deep understanding of DDN's products and competitive advantages, turning technical capabilities into clear value propositions.
• Help shape the overall response strategy, including win themes, executive messaging, competitive positioning and customer-specific proof points.
• Bring together contributors from Sales, Solution Engineering, Product, Marketing and other teams, keeping stakeholders aligned.
• Identify repetitive parts of the RFP process and use AI and automation to speed content discovery, response generation, knowledge retrieval and proposal reviews.
• Turn lessons from individual RFPs into reusable assets, templates, knowledge and self-service tools.
• Analyse proposal outcomes and feedback to continuously improve the RFP process and competitive positioning.

Required profile

• 3+ years of experience in solution engineering, proposal management, technical pre-sales, management consulting or a related role in a fast-paced technology environment.
• Experience managing or responding to complex technical RFPs or RFIs in enterprise technology or B2B software/hardware.
• Excellent written and verbal communication, able to turn complex technical information into clear, persuasive customer-facing content.
• Nice to have: basic knowledge of SQL, Python, APIs or similar technologies; experience with Make, n8n, Zapier or similar automation tools; familiarity with RAG, enterprise knowledge bases or grounding AI agents in company data; experience building a side project or internal tool.