Pre Sales Engineer
Leads technical presales engagements for manufacturing customers, translating shop-floor challenges into SaaS, IIoT, cloud, and AI solutions. The role requires 5–10+ years of enterprise SaaS presales experience, manufacturing expertise, and fluent German and English.
About the job
Responsibilities
- Work closely with Account Executives to progress opportunities through the pipeline and secure the technical win, from early discovery through close.
- Perform deep discovery and requirements analysis to understand operational pain points, business impact, and successful outcomes.
- Develop and deliver technical demonstrations tailored to prospects, including demos, technical presentations, architectural discussions, and proof-of-concept work.
- Articulate the platform's 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.
- Build and improve playbooks, demo environments, evaluation frameworks, and internal AI tooling.
Requirements
- 5–10+ years of enterprise SaaS presales experience as a Solutions Engineer, Solutions Consultant, or equivalent.
- Experience selling to or working with manufacturing companies on digital transformation.
- Experience with MES/MoM, LES/LIMS, WMS, QMS, ERP, SPC, or IIoT systems.
- Strong written and verbal communication skills, with confidence presenting to audiences from the shop floor to the C-suite.
- Daily use of AI tools; experience with AI coding assistants is a plus.
- Ability to quickly assimilate and apply new concepts, business models, and technologies.
- Bachelor's degree in Engineering, Mechanical Engineering, Industrial Engineering, or Computer Science; an MS or MBA is a plus.
- Fluency in English and German.
- Must live in the Munich Area.
Nice-to-haves
- Experience improving systems at scale, implementing best practices, and improving sales methodology and execution quality.
- Experience with RFx drafting, demo building, requirements synthesis, or AI-assisted workflows.
Compensation and Benefits
- Company equity.
- Competitive benefits package, including commuter benefits, a learning and development stipend, team events, and catered lunches three days per week.
- Flexible work schedule and unlimited vacation policy.
- Travel expected at approximately 10–30%, depending on demand.
Skills
Enterprise Saas, Solutions Engineering, Manufacturing, Digital Transformation, Mes, Wms, Qms, ERP, Iiot, Cloud Computing, Artificial Intelligence, Proof Of Concept, Rfx, Requirements Analysis, Business Value Assessments
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