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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Solutions Engineering with a strong focus on translating customer challenges into technical requirements and measurable business outcomes. Proficient in modern data and analytics concepts, cloud architecture, and AI technologies, with a proven ability to lead technical evaluations and stakeholder engagement.
Highest-signal resume keywords
Solutions EngineeringData IntegrationKNIME Analytics PlatformCloud ArchitectureAI and GenAI Technologies
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLPythonRETL/ELTMachine LearningData TransformationAnalyticsAutomationAPIsGovernance
Soft Skills
Presentation SkillsStorytellingWorkshop FacilitationExecutive CommunicationCustomer Focus
Tools & Technologies
KNIME Business HubAlteryxDataikuDatabricksSnowflakeAWSAzureGoogle Cloud
Industry Keywords
Enterprise SoftwareSaaSTechnical ConsultingData ConsultingValue-Selling Methodologies
Tech Stack
Tools & technologiesAWSAzureCloudETLPythonSQL
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- 5+ years of experience in Solutions Engineering, Sales Engineering, Pre-Sales, technical consulting, data consulting, or a comparable customer-facing technical role in enterprise software
- Demonstrated ability to lead discovery, design solutions, deliver compelling demonstrations, and guide complex technical evaluations
- Strong understanding of modern data and analytics concepts, including data integration, transformation, ETL/ELT, analytics, automation, machine learning, and AI
- Familiarity with SQL and at least one common analytical or programming environment such as Python or R
- Working knowledge of enterprise SaaS and cloud architecture, including APIs, authentication, SSO/identity, security, governance, and integration patterns
- Growing fluency with modern AI and GenAI architectures, including LLMs, AI providers, retrieval and data access patterns, agents, governance, and responsible AI considerations
- Strong business acumen and ability to connect technology decisions to business outcomes
- Excellent presentation, storytelling, workshop facilitation, and executive communication skills
- Ability to navigate complex, multi-stakeholder enterprise buying processes while remaining focused on customer outcomes
- Comfort operating with autonomy, prioritizing across multiple opportunities, and collaborating across a matrixed organization
- Preferred: hands-on experience with KNIME Analytics Platform or KNIME Business Hub
- Preferred: experience with Alteryx, Dataiku, Databricks, Snowflake, or similar enterprise technologies
- Preferred: experience selling or supporting enterprise SaaS, analytics, data, automation, or AI platforms
- Preferred: experience with AWS, Azure, or Google Cloud
- Preferred: experience supporting enterprise security, architecture, or AI-governance conversations
- Preferred: familiarity with structured discovery, qualification, and value-selling methodologies
- Preferred: experience working closely with Account Executives, Customer Success, Product, and Professional Services teams in a SaaS organization
Benefits
Comp & perks- 401(k) matching to support your long-term financial goals
- Flexible working hours and a remote-friendly working environment
- Learning & development support, including training, online learning resources, and opportunities to attend conferences
- Employee referral program
- Regular team events and opportunities to connect with colleagues across our international organization