Value Engineer

The Value Engineer at Tungsten Automation plays a pivotal role in supporting the Sales team by quantifying and articulating the business value of Tungsten’s intelligent automation solutions for enterprise customers. This is a strategic, customer-facing role that engages directly with clients to uncover business needs, deliver tailored value propositions, and guide decision-making through consultative expertise. The position is responsible for developing compelling value propositions, ROI analyses, and business cases that demonstrate how Tungsten’s TotalAgility platform and related offerings address specific customer challenges and deliver measurable business outcomes. The Value Engineer collaborates closely with Sales, Product Management, Strategy, and Marketing to ensure that value messaging is tailored to industry needs and resonates with both technical and business stakeholders. By acting as a trusted advisor, the Value Engineer helps drive customer confidence, accelerate sales cycles, and position Tungsten Automation as a leader in intelligent workflow automation.

Key Responsibilities

• Partner with Sales to identify, qualify, and advance opportunities where Tungsten’s solutions can deliver significant business value to customers.
• Develop and present tailored value propositions, business cases, and ROI/TCO analyses that clearly articulate the financial and operational benefits of Tungsten’s automation solutions.
• Participate in customer meetings, workshops and executive presentations to communicate the business impact of Tungsten’s solutions and facilitate value-driven discussions with stakeholders at all levels.
• Lead discovery sessions and value workshops with customers to uncover pain points, assess current processes and ap solution capabilities to desired business outcomes
• Build trusted relationships with customer executives and decision-makers, serving as a subject matter expert on value realization and digital transformation.
• Collaborate with Product Management and Marketing to create use case-specific messaging, content, and tools that highlight the unique value of Tungsten’s offerings.
• Support the sales cycle by participating in customer meetings, executive briefings, and presentations, providing expert insights and addressing both technical and business-related questions.
• Conduct industry and account-specific research to inform value messaging and ensure alignment with market trends, regulatory requirements, and competitive dynamics.
• Build and maintain strong relationships with key customer stakeholders, acting as a trusted advisor throughout the sales process and beyond.
• Enable internal teams and partners by delivering training sessions and workshops on value engineering methodologies, business case development, and the benefits of Tungsten’s solutions.
• Continuously refine and enhance value engineering frameworks, tools, and best practices based on feedback, market evolution, and customer needs.
• Utilizes AI-enabled tools (e.g., chatbots, document automation, analytics assistants) to improve efficiency, accuracy, and streamline routine tasks while following company AI governance and data privacy standards.
  
  
  

• Bachelor’s degree in business, engineering, finance, or a related field; advanced degree (MBA, MS) preferred.
• Proven experience (typically 5+ years) in value engineering, pre-sales, solution consulting, or management consulting within the enterprise software industry.
• Demonstrated ability to develop and present business cases, ROI models, and financial analyses for complex software solutions.
• Strong understanding of enterprise software, digital transformation, and process automation technologies.
• Experience engaging with both technical and business stakeholders, including C-level executives, to drive consensus and decision-making.
• Familiarity with industry-specific challenges and regulatory environments in sectors such as banking, financial services, supply chain, or manufacturing is highly desirable.
• Working knowledge of AI-driven automation platforms and the ability to translate AI capabilities into measurable business outcomes.
• Skills in prompting AI systems and assessing output quality.
  
  
  

• Exceptional analytical and financial modeling skills, with the ability to translate technical features into quantifiable business outcomes.
• Excellent verbal and written communication skills, including the ability to deliver compelling presentations and facilitate workshops.
• Strong consultative and relationship-building abilities, with a customer-centric mindset.
• Strategic thinker with the ability to synthesize complex information and develop actionable recommendations.
• Proficiency in value engineering methodologies, business case development, and sales enablement best practices.
• Ability to work collaboratively across cross-functional teams and manage multiple projects in a fast-paced environment.
• High degree of adaptability, continuous learning, and a passion for driving business impact through technology.