REQUIREMENTS
- Hands-on experience with AI Agents and automation tools (e.g., Claude Cowork, or similar) - not just using LLMs for search, but demonstrable experience automating personal or business tasks with AI
- Strong understanding of at least one enterprise process group (e.g., Lead-to-Cash, Design-to-Operate, Procure-to-Pay, etc.)
- Proven experience with project scoping, effort estimation and delivery planning
- Excellent communication and presentation skills with the ability to articulate complex technical concepts to business audiences
- Strong negotiation skills for client engagements and stakeholder management
- Advanced English proficiency (written and verbal)
- Critical thinking and structured problem-solving mindset must
- Ability to work effectively as a liaison between technical and non-technical teams
NICE TO HAVE
- Experience working with large enterprise clients in consulting roles
- Background in business process optimization or digital transformation
- Understanding of AI/ML concepts
RESPONSIBILITIES
AI Discovery & Client Advisory
- Lead AI Discovery Workshops for large enterprise clients to assess their business readiness for AI implementation
- Evaluate organizational AI maturity and identify automation opportunities aligned with client pain points and strategic priorities
- Identify areas where AI can be scaled across the organization for maximum business impact
- Consult clients on various AI tools and technologies, providing clear recommendations on optimal solutions with supporting rationale
- Deliver compelling demonstrations of AI capabilities and use cases to stakeholders
AI Project Implementation
- Act as a bridge between technical teams and business stakeholders during AI project delivery
- Translate business requirements into clear technical specifications for development teams
- Present project results and outcomes to clients, articulating business value and technical achievements
- Create project scopes, effort estimations, and delivery timelines
Product Development Contribution
- Participate in
Graip.AI - AI Solutions for Document Processing product roadmap discussions and sprint planning sessions
- Bring client feedback, market insights and feature requests gathered from pre-sales meetings and active projects
- Contribute ideas for product improvements based on real-world enterprise use cases
What We Do
We specialize in transforming Revenue Operations through advanced technological integration, combining AI, analytics, and strategic workflow automation. Our core competency lies in developing comprehensive revenue optimization strategies that unify critical business functions including marketing, sales, billing, enterprise resource planning, and revenue recognition. Leveraging SAP and other vendors' enterprise technologies we deliver sophisticated solutions that enable organizations to: - Develop strategic outcome-based business models - Implement enterprise-wide digital transformation - Optimize complex revenue management processes - Minimize implementation risks and operational costs Our approach is distinguished by: 1. Comprehensive industry expertise 2. Advanced technological architecture 3. Proven deployment methodologies 4. Balanced focus on long-term strategic planning and immediate operational improvements We collaborate with clients to design precision-engineered revenue ecosystems that align technological capabilities with strategic business objectives, ensuring sustainable growth and operational efficiency. Expertise Areas: 1. Intelligent Revenue Operations (iRevOps) 2. Enterprise Technology Integration 3. Strategic Digital Monetization 4. AI-Enhanced Business Process Optimization Our methodological framework transforms complex business requirements into streamlined, data-driven operational strategies.
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