Technical Win Pursuits / Sales Execution
Lead from the front in qualified, high-impact AI pursuits by applying solution, AI portfolio, and industry depth, tailoring demonstrations and delivering proof-of-value engagements that drive customer confidence. Set the quality bar and avoid scope creep. This role has a key emphasis on this activity: Ensuring technical win pursuit excellence across the pipeline.
AI Portfolio Depth & Domain Translation
Act as the connective tissue between the AI portfolio and your domain (ERP, EAM, and/or FSM). Translate AI capabilities into credible, domain-specific outcomes and architectures, and ensure solutions are technically sound and implementable.
Trusted Advisor Across the Business
Provide insight-based guidance to shape marketing campaigns, sales plays, messaging, roadmap priorities, and competitive positioning for the AI portfolio within your domain.
Presales Performance Elevation
Strengthen presales execution through key content creation, storytelling, reusable asset development, mentoring, and setting the example in delivery excellence.
Drive evolution in our AI go-to-market model through cross-functional collaboration, industry-specific sales plays, and field innovation. The emphasis will always be on strategic deal execution, but the balance between these focus areas may vary depending on individual expertise and evolving business needs.
The AI Solution Architect carries deep domain expertise in one or more of the following, paired with strong command of the IFS AI portfolio:
• ERP-centric: Deep understanding of enterprise resource planning processes, market dynamics, and the competitive landscape.
• EAM-centric: Deep understanding of enterprise asset management (EAM), APM, and AIP market dynamics.
• FSM-centric: Deep understanding of field service software market dynamics, including products, competitors, customers, and partners.
• Multi-domain: Several architects will operate credibly across two or more of these disciplines.
• Contribution to AI portfolio revenue targets in partnership with sales leadership.
• Measurable improvement in presales readiness and win rates on qualified opportunities.
• Quality and reuse of solution assets, demonstrations, and proof-of-value engagements.
• Field-sensed product feedback that fuels future AI portfolio innovation.