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TulipTulip

Technical Sales Engineer

Leads technical sales evaluations for an industrial SaaS platform, translating manufacturing challenges into demonstrations, business cases, and implementation plans. Requires 5+ years of enterprise SaaS pre-sales experience, manufacturing expertise, and fluent German and English.

About the job

Responsibilities

  • Partner with Account Executives to advance opportunities from discovery through close and secure the technical win.
  • Conduct discovery and requirements analysis to understand operational pain points, business impact, and success criteria.
  • Create and deliver tailored technical demonstrations, presentations, architecture discussions, and proof-of-concept work.
  • Communicate platform value to line-of-business managers, C-level executives, and IT stakeholders.
  • Build Business Value Assessments connecting operational improvements to financial outcomes.
  • Develop proposals and responses to RFIs, RFPs, RFQs, technical assessments, and security questionnaires.
  • Lead implementation-project scoping and estimation with Professional Services.
  • Provide structured feedback to Product and Engineering on prospect requests, capability gaps, and competitive patterns.
  • Improve team playbooks, demo environments, evaluation frameworks, and internal AI tooling.
  • Travel approximately 10–30% depending on demand.

Requirements

  • 5–10+ years of enterprise SaaS pre-sales experience as a Solutions Engineer, Solutions Consultant, or equivalent.
  • Experience selling to or working with manufacturing companies on digital transformation.
  • Experience with manufacturing and industrial systems such as MES/MoM, LES/LIMS, WMS, QMS, ERP, SPC, or IIoT.
  • Manufacturing or industrial operations experience and a strong understanding of the shop floor.
  • Strong written and verbal communication skills, including presenting to audiences from the shop floor to the C-suite.
  • Fluency in German and English, with the ability to speak, write, and comprehend German fluently.
  • Bachelor of Science degree in Engineering, such as Mechanical, Industrial, or Computer Science.
  • Ability to quickly assimilate and apply new concepts, business models, and technologies.

Nice-to-haves

  • Master's degree or MBA.
  • Experience using AI tools for RFx drafting, demo building, requirements synthesis, or coding assistance.
  • Knowledge of SaaS, IIoT, cloud, and AI.

Benefits

  • Company equity.
  • Competitive benefits package, including commuter benefits and a learning and development stipend.
  • Flexible work schedule and unlimited vacation policy.
  • Team events and catered lunches three days per week.

Skills

Enterprise Saas, Pre-Sales, Manufacturing Operations, Digital Transformation, Mes, Wms, Qms, ERP, Spc, Iiot, Cloud Computing, Artificial Intelligence, Technical Demonstrations, Rfx Responses, Business Value Assessments

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