Dfinite B2B AI Solution Sales
Service Overview & Value Proposition
In this role, you will take full ownership of the sales pipeline, prioritizing sales opportunities and leading the entire transaction lifecycle from problem discovery and pitching to validation, negotiation, and contracting. You will analyze clients' actual operations to uncover underlying pain points and root causes, validating hypotheses through rigorous questioning and evidence to establish high-priority solutions together with the client. By deeply understanding target industries and technology, you will connect Dfinite's solution mechanics and application conditions directly to the client's workflows to propose compelling solutions.
To facilitate purchase decisions, you will outline clear PoC (Proof of Concept) objectives and evaluation criteria, navigating approval processes and resolving blockers across cross-functional stakeholders including operations, IT, and budgeting. You will orchestrate viable contracts by aligning internal standards with execution feasibility, carefully adjusting scope, pricing, schedules, and collaboration terms. Furthermore, you will uncover renewal and expansion opportunities based on post-implementation performance and emerging challenges, fostering long-term strategic partnerships.
Ideal candidates bring experience in B2B solution, software, or IT service sales/consulting, along with the ability to structurally interpret client needs and formulate strategic inquiries. You should be capable of rapidly mastering unfamiliar industries or technologies to drive business outcomes, coordinating diverse stakeholder interests, and taking ultimate ownership of commitments and deliverables. Experience in manufacturing domains, enterprise system integrations (ERP, MES), or AI/data solution PoC conversions will serve as a strong plus.
Dfinite fosters a healthy work culture centered on aligning objectives and completion criteria first, transparently sharing uncertainties, and collaborating with mutual respect. The team emphasizes rigorous verification of AI outputs, documentation of learnings in public spaces, and translating feedback into actionable behavioral changes for continuous growth. This is a premier opportunity for sales professionals looking to spearhead the digital transformation of the manufacturing industry and elevate their careers at the forefront of enterprise AI.
1. 💰 Monetization (18/30): The B2B AI solution sales manager position targets high-value business models that proactively block losses in manufacturing cost, inventory, and quality management while optimizing decision-making. This role drives the adoption of advanced AI solutions that can contribute an average of 250 million KRW in annual revenue growth and profit acquisition per client. Given the nature of manufacturing where minor process losses lead to significant deficits, AI-based decision systems provide clear financial value. However, the market already features numerous general data analysis and manufacturing optimization solutions, making it difficult to achieve differentiated revenue through sales headcount expansion alone. Therefore, swiftly supplementing standardized guidelines and templates to diagnose complex internal client systems during the early stages is urgently needed. 2. 📉 Cost Reduction (15/30): Operational resources injected into manual data aggregation and error inspection in manufacturing sites can be drastically reduced, achieving over 35% savings in repetitive internal tasks. Translated into financial terms, this enables approximately 80 million KRW in annual labor and operational cost reductions per client while minimizing human error losses. However, since this position is a sales manager opening, the proportion of human sales manager intervention remains high rather than the automation rate of the AI system itself. Without active adoption of fully autonomous sales agents or lead scoring automation systems, there are fundamental limits to lowering human costs in pipeline management, necessitating additional tech investments. 3. ⚡ 10x Productivity (17/30): By utilizing generative AI and ChatGPT-based internal knowledge bases across the entire sales lifecycle from problem exploration and proposal drafting to PoC review and contract conclusion, draft creation and data verification times can be reduced from five days to a few hours. This provides an innovative impact that accelerates sales reps' work processing speed by 4x to 6x. However, due to manufacturing domain characteristics, ERP and MES systems vary by client, imposing constraints on standardized templates and requiring human expert verification. Achieving true 10x productivity requires advancing multi-agent workflows that automatically refine fragmented manufacturing data and generate customized proposals. 4. 🔍 Search & AI Optimization (8/10): Registered on the GroupBy platform, this job posting adequately includes core keywords frequently searched by job seekers such as B2B sales, solution sales, manufacturing AI, and decision-making AI, yielding good target talent acquisition efficiency. The web page's meta information and detailed job descriptions are structured well for search engine crawlers. However, external general search engines and generative AI answer engines lack detailed external content regarding Definitt's unique technology and differentiated AI architecture, limiting brand awareness expansion. Continuously publishing professional articles detailing manufacturing AI success stories and specific ROI figures through corporate blogs or external tech magazines is necessary to boost visibility and trust. 5. 📊 Overall Assessment: This position contains a very challenging and valuable attempt to solve real business problems by combining traditional manufacturing with cutting-edge AI technology. However, the manufacturing AI solution market is an intense red ocean crowded with numerous tech startups, and a structure relying solely on sales talent competency struggles to build long-term technological moats. Management must combine hiring excellent sales managers with building internal AI agent infrastructure to automate sales processes and perform rapid customized PoCs. Without establishing rigorous data-driven performance metrics and strengthening product differentiation, securing sustainable growth engines amidst fierce market competition will remain difficult.
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