Senior Solutions Engineer

Role Overview

As 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. Senior Solutions Engineers are hands‑on, conducting discovery, building and delivering demonstrations, designing solutions, and leading technical evaluations independently while engaging specialist resources when deeper expertise is needed.

Responsibilities

• Lead Technical Discovery and Sales Strategy: Conduct structured discovery to understand business priorities, workflows, data environments, stakeholders, constraints, and outcomes; translate challenges into use cases, requirements, and success criteria; develop technical strategy with the account team; identify and develop technical champions; communicate effectively across audiences.
• Design and Demonstrate Solutions: Map customer requirements to KNIME capabilities; build and deliver tailored demonstrations, workshops, prototypes, and proofs of concept; define objectives and exit criteria for technical evaluations; translate capabilities into measurable outcomes such as productivity gains, cost reduction, faster insight, improved governance, and reduced risk.
• Guide Enterprise Architecture and Technical Validation: Advise on SaaS vs. self‑managed deployment, cloud architecture, identity & access management, data connectivity, APIs, security, governance, and deployment; help evaluate AI and GenAI use cases, responsible AI, model integration, workflow orchestration, and operationalization; partner with security, architecture, product, and other specialists as needed.
• Grow the Customer Relationship: Identify broader adoption opportunities beyond the initial use case; surface new technical expansion opportunities; help customers envision repeatable, governed enterprise capabilities; ensure strong technical handoffs to Customer Success, Professional Services, and Support; identify technical risk and collaborate to mitigate it.
• Contribute to a High‑Performing Solutions Organization: Maintain accurate technical context, solution strategy, and evaluation status in Salesforce; provide customer, competitive, and market insights to Product, Engineering, Marketing, and leadership; create reusable demos, discovery approaches, architectures, and field assets; share expertise with peers and foster a culture of learning and continuous improvement; stay current on analytics, data engineering, AI, GenAI, cloud architecture, and the broader enterprise data ecosystem.

Requirements

• 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.
• Proven 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 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 staying focused on customer outcomes.
• Comfort operating with autonomy, prioritizing across multiple opportunities, and collaborating across a matrixed organization.

Preferred Experience

• Hands‑on experience with KNIME Analytics Platform or KNIME Business Hub.
• Experience with adjacent data and analytics platforms such as Alteryx, Dataiku, Databricks, Snowflake, or similar enterprise technologies.
• Experience selling or supporting enterprise SaaS, analytics, data, automation, or AI platforms.
• Experience working with cloud environments such as AWS, Azure, or Google Cloud.
• Experience supporting enterprise security, architecture, or AI‑governance conversations.
• Familiarity with structured discovery, qualification, and value‑selling methodologies.
• Experience collaborating closely with Account Executives, Customer Success, Product, and Professional Services teams in a SaaS organization.

What Success Looks Like

Success is measured not only 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

• 401(k) matching to support long‑term financial goals.
• Flexible working hours and a remote‑friendly environment.
• Learning & development support, including training, online resources, and conference opportunities.
• Employee referral program.
• Regular team events and opportunities to connect with colleagues across our international organization.

About KNIME

KNIME is a leading AI platform that enables organisations to make sense of their data through intuitive, scalable, and collaborative data science. We empower data professionals and business users alike to build, deploy, and manage AI and data workflows that drive better decisions. Hundreds of global enterprises—including Citi, Bosch, and P&G—use the KNIME platform. KNIME is an equal‑opportunity employer committed to fostering an inclusive environment where diverse perspectives thrive.