Senior Solutions Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead structured technical discovery to grasp business priorities, workflows, data environments, stakeholders, constraints, and desired outcomes.

• Convert customer challenges into use cases, technical requirements, and measurable success criteria.

• Formulate technical strategies for opportunities with account teams, encompassing stakeholder engagement, competitive differentiation, evaluation strategy, and technical win criteria.

• Establish trusted relationships with stakeholders in data, analytics, AI, IT, security, business, and executive roles.

• Align customer requirements with KNIME capabilities across data access, transformation, analytics, automation, AI, application delivery, governance, and deployment.

• Create and present customer-specific demonstrations, workshops, solution design sessions, prototypes, and proofs of concept.

• Set objectives and exit criteria for technical evaluations and assist in guiding customer decision-making.

• Transform technical capabilities into quantifiable business outcomes.

• Provide guidance on KNIME SaaS and self-managed deployment models, cloud architecture, identity and access management, connectivity, APIs, authentication, security, governance, and deployment.

• Support customers in assessing AI and GenAI use cases, including responsible AI, model and provider integration, workflow orchestration, governance, and operationalization.

• Collaborate with security, architecture, product, and specialized resources as necessary.

• Identify opportunities for broader adoption, new use cases, and technical expansion.

• Ensure effective technical handoffs to Customer Success, Professional Services, Support, and other teams.

• Recognize and mitigate technical risks impacting adoption, expansion, or renewal.

• Maintain technical context, solution strategy, evaluation status, and technical win criteria in Salesforce.

• Share insights on customers, competitors, and market trends with Product, Engineering, Marketing, and Solutions leadership.

• Develop reusable demonstrations, discovery methodologies, architectures, workflows, and field assets.

• Share expertise with peers and stay updated on analytics, data engineering, AI, GenAI, cloud architecture, and enterprise data advancements.

⛳️ Requirements

• 5+ years of experience in Solutions Engineering, Sales Engineering, Pre-Sales, technical consulting, data consulting, or a similar customer-facing technical role in enterprise software.

• Proven ability to lead discovery, design solutions, deliver engaging demonstrations, and guide intricate technical evaluations.

• Solid understanding of contemporary data and analytics concepts, including data integration, transformation, ETL/ELT, analytics, automation, machine learning, and AI.

• Familiarity with SQL and at least one prevalent analytical or programming environment such as Python or R.

• Working knowledge of enterprise SaaS and cloud architecture, covering APIs, authentication, SSO/identity, security, governance, and integration patterns.

• Increasing 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 with the ability to link technology decisions to business outcomes.

• Exceptional presentation, storytelling, workshop facilitation, and executive communication skills.

• Ability to navigate complex, multi-stakeholder enterprise purchasing processes while maintaining a focus on customer outcomes.

• Comfort working independently, prioritizing across multiple opportunities, and collaborating within 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 in selling or supporting enterprise SaaS, analytics, data, automation, or AI platforms.

• Preferred: experience with AWS, Azure, or Google Cloud.

• Preferred: experience in supporting enterprise security, architecture, or AI-governance discussions.

• Preferred: familiarity with structured discovery, qualification, and value-selling methodologies.

• Preferred: experience collaborating closely with Account Executives, Customer Success, Product, and Professional Services teams in a SaaS environment.

🏝️ Benefits

• 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.