KNIME

Solutions Engineer

• Lead structured technical discovery to understand business priorities, workflows, data environments, stakeholders, constraints, and desired outcomes
• Translate customer challenges into use cases, technical requirements, and measurable success criteria
• Develop technical strategies for opportunities with account teams, including stakeholder engagement, competitive differentiation, evaluation strategy, and technical win criteria
• Build trusted relationships with data, analytics, AI, IT, security, business, and executive stakeholders
• Map customer requirements to KNIME capabilities across data access, transformation, analytics, automation, AI, application delivery, governance, and deployment
• Build and deliver customer-specific demonstrations, workshops, solution design sessions, prototypes, and proofs of concept
• Define objectives and exit criteria for technical evaluations and guide customer decision-making
• Translate technical capabilities into measurable business outcomes
• Advise on KNIME SaaS and self-managed deployment models, cloud architecture, identity and access management, connectivity, APIs, authentication, security, governance, and deployment
• Help customers evaluate AI and GenAI use cases, including responsible AI, model and provider integration, workflow orchestration, governance, and operationalization
• Partner with security, architecture, product, and specialist resources as needed
• Identify broader adoption, new use cases, and technical expansion opportunities
• Ensure strong technical handoffs to Customer Success, Professional Services, Support, and other teams
• Identify and address technical risks affecting adoption, expansion, or renewal
• Maintain technical context, solution strategy, evaluation status, and technical win criteria in Salesforce
• Share customer, competitive, and market insights with Product, Engineering, Marketing, and Solutions leadership
• Create reusable demonstrations, discovery approaches, architectures, workflows, and field assets
• Share expertise with peers and stay current on analytics, data engineering, AI, GenAI, cloud architecture, and enterprise data developments

Senior Solutions Engineer