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Celonis

Process intelligence platform for end-to-end efficiency

Lead Value Engineer

Pre-Sales Solution Engineering +1Posted on Nov 9
Full-timeSeoul, South Korea

About the Job

Requirements

  • Experience leading a consultative sales process, including discovering customer needs, qualifying opportunities, building business cases or value assessments, and running Proof of Value projects.
  • Ability to demonstrate and sell based on value, such as return on investment or strategic impact, rather than product features.
  • Strong understanding of software-as-a-service platforms or complex IT solutions sufficient to hold technical discussions with customer IT teams.
  • Hands-on experience building technical demonstrations, such as dashboards, simple applications, or automated workflows.
  • Experience in a post-sales role, such as Customer Success or Implementation Consultant, focused on helping customers achieve business results with a product.
  • Track record of driving user adoption, training users, helping establish an operating model such as a Center of Excellence, and securing renewals or expansions.
  • Ability to manage multiple complex projects simultaneously, especially IT-related projects, controlling scope, timeline, and stakeholder expectations.
  • Experience coordinating internal teams and external partners, such as consulting firms, to deliver projects successfully.
  • Proven experience preparing materials for and presenting results to senior leaders, including C-level executives and vice presidents, externally and internally.
  • Comfort communicating, negotiating, and managing expectations at an executive level.
  • Deep knowledge or practical experience in specific business functions, such as Finance or Supply Chain.
  • Experience with large-scale transformation initiatives, such as Shared Services or ERP system migrations.
  • Strong understanding of trends, challenges, and strategic opportunities within a specific industry, such as Manufacturing, Banking, or Retail.
  • Experience tailoring proposals and roadmaps to address the specific C-suite agenda of an industry.

Responsibilities

  • Discover customers’ strategic goals and translate them into specific use cases where Celonis can have a high impact.
  • Create product demonstrations and business cases, often using industry benchmarks, to show prospective customers expected value such as cost savings and efficiency gains.
  • Run small-scale Proof of Value projects using customer data and present results, identified value opportunities, and strategic roadmaps to C-level executives.
  • Lead customer workshops and use the Celonis platform to analyze business data and identify process-improvement opportunities.
  • Develop concrete improvement measures and work with customers to launch internal change initiatives addressing identified problems.
  • Present realized results and value to customer senior management.
  • Manage the full customer journey, from initial adoption through expansion into new departments, effective use, and contract renewal.
  • Work with customers to create long-term roadmaps for embedding Celonis as a core business-transformation platform.
  • Share customer insights and new use cases with product development teams to improve the platform and its applications.
  • Partner with Celonis Sales Teams, partners, and Celonis Services to drive measurable business impact and accelerate platform adoption.

Desired Qualifications

  • Data analysis and value discovery using artificial intelligence, machine learning, and Python.
  • Experience as a data scientist.
  • 10 to 15 years of pre-sales experience.
  • Fluent Korean and business English communication skills.

About the Company

Celonis

Process intelligence platform for end-to-end efficiency

Celonis builds a Process Intelligence platform that creates a digital twin of an organization's end-to-end processes by collecting data from multiple systems to map how work actually flows. Users from different departments can see bottlenecks, inefficiencies, and improvement opportunities in a system-agnostic view, enabling cross-functional collaboration. Its business model charges customers for platform usage and aims to help organizations accelerate digital transformation and achieve cost savings. Its goal is to help organizations streamline operations and realize measurable efficiency gains through data-driven process improvements.

Company size
1,001-5,000
Company stage
Series D
Total funding
$2.4B
Headquarters
Munich, Germany
Founded
2011

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