{"id":1016255,"url":"https://alion.io/job/knime-senior-solutions-engineer","title":"Senior Solutions Engineer","company":{"id":63271,"name":"KNIME","domain":"knime.com","url":"https://alion.io/company/knime","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Personio","truth_index":{"grade":"B","score":80,"open_postings":5,"ghost_share":0,"stale_share":0.8,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Solutions","role_family":"Solutions","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":123000,"max_usd":230000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":447},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ETL/ELT","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Alteryx","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Databricks","optional":true},{"name":"GCP","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-09-17T17:49:37Z","employer_posted_date":"2026-09-17","last_verified_at":"2026-10-16T16:15:21Z","board_verified":true,"closed_at":null,"days_open":29,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":29},"description":"Role Overview\nAs a Senior Solutions Engineer at KNIME, you are a strategic technical partner to prospects and customers throughout the sales lifecycle. You combine curiosity, technical depth, business acumen, and strong communication skills to help organizations understand how KNIME can solve meaningful data, analytics, automation, and AI challenges.Working closely with the sales team, you own the technical strategy for assigned opportunities and accounts - from discovery and solution design through demonstration, technical validation, and expansion. You are expected to understand the customer’s business problem before proposing a solution, translate complex requirements into a compelling KNIME architecture, and build confidence across business, data, IT, security, and executive stakeholders.\nSenior Solutions Engineers are hands-on. You should be comfortable conducting discovery, building and delivering demonstrations, designing solutions, and leading technical evaluations independently. You will also engage specialist resources when deeper product, architecture, or domain expertise can accelerate or strengthen the opportunity.\nResponsibilities\nLead Technical Discovery and Sales Strategy\nLead thoughtful, structured discovery to understand business priorities, current workflows, data environments, stakeholders, constraints, and desired outcomes.\nTranslate customer challenges into clearly defined use cases, technical requirements, and measurable success criteria.\nDevelop the technical strategy for opportunities in partnership with the account team, including stakeholder engagement, competitive differentiation, evaluation strategy, and technical win criteria.\nIdentify and develop technical champions while building trusted relationships with data, analytics, AI, IT, security, and business stakeholders.\nCommunicate effectively across audiences, from hands-on practitioners to senior executives.\nDesign and Demonstrate Solutions\nMap customer requirements to KNIME capabilities across data access, transformation, analytics, automation, AI, application delivery, governance, and deployment.\nBuild and deliver compelling demonstrations that reflect the customer’s environment, priorities, and business outcomes rather than relying on generic feature presentations.\nUse workshops, solution design sessions, prototypes, and proofs of concept when they are the best way to advance customer confidence and decision-making.\nDefine clear objectives and exit criteria for technical evaluations and keep evaluations focused on the capabilities required to make a buying decision.\nTranslate technical capabilities into measurable outcomes such as productivity gains, reduced operational cost, faster time to insight, improved governance, and reduced risk.\nGuide Enterprise Architecture and Technical Validation\nHelp customers determine how KNIME fits into their broader data, analytics, and AI architecture.\nAdvise customers on SaaS and self-managed deployment models based on security, governance, scale, integration, and operational requirements.\nNavigate enterprise technical topics including cloud architecture, identity and access management, data connectivity, APIs, authentication, security, governance, and deployment.\nHelp customers evaluate modern AI and GenAI use cases, including responsible AI adoption, model and provider integration, workflow orchestration, governance, and operationalization.\nPartner with security, architecture, product, and other specialists when deeper expertise is required.\nGrow the Customer Relationship\nLook beyond the initial use case to identify opportunities for broader adoption across teams, departments, workflows, and business processes.\nSurface new use cases and technical expansion opportunities to the account and customer success teams.\nHelp customers envision how successful individual workflows can evolve into repeatable, governed enterprise capabilities.\nEnsure strong technical handoffs following a sale so Customer Success, Professional Services, Support, and other teams understand the customer’s objectives, architecture, success criteria, and commitments.\nIdentify technical risk that could affect adoption, expansion, or renewal and partner with the appropriate teams to address it.\nContribute to a High-Performing Solutions Organization\nMaintain accurate technical context, solution strategy, evaluation status, and technical win criteria in Salesforce.\nBring customer, competitive, and market insights back to Product, Engineering, Marketing, and Solutions leadership.\nCreate reusable demonstrations, discovery approaches, architectures, workflows, and field assets that increase the effectiveness of the broader team.\nShare expertise with peers and contribute to a culture of learning, experimentation, and continuous improvement.\nStay current on developments in analytics, data engineering, AI, GenAI, cloud architecture, and the broader enterprise data ecosystem.\nRequirements\n5+ years of experience in Solutions Engineering, Sales Engineering, Pre-Sales, technical consulting, data consulting, or a comparable customer-facing technical role in enterprise software.\nDemonstrated ability to lead discovery, design solutions, deliver compelling demonstrations, and guide complex technical evaluations.\nStrong understanding of modern data and analytics concepts, including data integration, transformation, ETL/ELT, analytics, automation, machine learning, and AI.\nFamiliarity with SQL and at least one common analytical or programming environment such as Python or R.\nWorking knowledge of enterprise SaaS and cloud architecture, including APIs, authentication, SSO/identity, security, governance, and integration patterns.\nGrowing fluency with modern AI and GenAI architectures, including LLMs, AI providers, retrieval and data access patterns, agents, governance, and responsible AI considerations.\nStrong business acumen and the ability to connect technology decisions to business outcomes.\nExcellent presentation, storytelling, workshop facilitation, and executive communication skills.\nAbility to navigate complex, multi-stakeholder enterprise buying processes while remaining focused on the customer’s desired outcomes.\nComfort operating with autonomy, prioritizing across multiple opportunities, and collaborating across a matrixed organization.\nPreferred Experience\nHands-on experience with KNIME Analytics Platform or KNIME Business Hub.\nExperience with adjacent data and analytics platforms such as Alteryx, Dataiku, Databricks, Snowflake, or similar enterprise technologies.\nExperience selling or supporting enterprise SaaS, analytics, data, automation, or AI platforms.\nExperience working with cloud environments such as AWS, Azure, or Google Cloud.\nExperience supporting enterprise security, architecture, or AI-governance conversations.\nFamiliarity with structured discovery, qualification, and value-selling methodologies.\nExperience working closely with Account Executives, Customer Success, Product, and Professional Services teams in a SaaS organization.\nWhat Success Looks Like\nSuccess in this role is measured not simply by technical activity, but by your ability to create customer confidence, establish clear technical value, remove risk from the buying process, and contribute to sustainable revenue growth.What we offer\n 401(k) matching to support your long-term financial goals\nFlexible working hours and a remote-friendly working environment\nLearning & development support, including training, online learning resources, and opportunities to attend conferences\nEmployee referral program\n Regular team events and opportunities to connect with colleagues across our international 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