This role is located in Munich, Germany. TULIP is a hybrid work environment and we are in the office 3+ days/per week.

About TULIP

TULIP is the frontline operations platform that helps manufacturers digitize, connect and continuously improve how they run production, with AI at the core of the product. TULIP was founded out of the MIT Media Lab. It is headquartered in Boston, has offices in Munich, Tokyo, Tel Aviv, Budapest and Singapore, and has customer sites in more than 45 countries.

In January 2026, TULIP closed its $120M Series D, at a valuation of $1.3B. Leading global manufacturers run on TULIP, including VEKA, DMG Mori, Roche, AstraZeneca, Richemont, Saint-Gobain Aerospace and Mitsubishi Electric. We partner with NVIDIA, PwC, McKinsey, BCG and more than 160 technology partners worldwide. TULIP is part of the World Economic Forum's Global Innovator community, and our CEO, Dr. Natan Linder, co-chairs the Forum's Advanced Manufacturing Industry Governors Community. 

The opportunity in DACH for TULIP

DACH is the heart of global manufacturing. Germany is Europe's largest industrial economy and the birthplace of Industrie 4.0. Switzerland is a global centre for pharma, life sciences and precision manufacturing. Austria is a strong base in automotive, machinery, metals and semiconductors. The region is also home to many of the world's "Hidden Champions", mid-sized companies that lead global niche markets. Today, these companies face similar pressures: fewer skilled workers, rising quality and compliance demands, and the need to modernize existing plants without stopping production. TULIP gives their frontline teams an AI-native production system to meet those pressures and accelerate time-to-value.

TULIP GmbH is a full operating entity and Munich is TULIP’s headquarters in Europe. The team covers sales, solutions engineering, pre-sales engineering, customer success, and R&D. Local customers trust our product in regulated, high-precision environments. 

About You:

• You have experience in manufacturing or industrial operations and a deep understanding of the shop floor
• You're energized by complex technical sales: translating operational problems into compelling platform narratives and owning the technical evaluation from discovery to close
• You are always looking at ways to improve systems at scale, implement best practices, and improve our methodology and quality of execution within the team
• You are a natural team player that understands what it is to work in an agile environment
• You operate with commercial awareness: you understand what moves deals, how to engage champions, and how to create urgency around technical decisions
• You speak fluently about SaaS, IIoT, cloud, and AI, and you actively use modern AI-assisted tools to work more effectively
• You live in the Munich Area and can speak, write and comprehend the German language fluently

What skills do I need? 

• 5-10+ years of enterprise SaaS pre sales experience (Solutions Engineer, Solutions Consultant or equivalent)
• Experience in selling to or working with manufacturing companies to help them with their digital transformation journey
• Experience with systems such as MES/MoM, LES/LIMS, WMS, QMS, ERP, SPC, IIoT, etc
• Strong written and verbal communication — comfortable presenting to audiences from the shop floor to the C-suite
• Actively uses AI tools in your daily workflow (RFx drafting, demo building, requirements synthesis, AI coding assistants a plus).
• Detail-oriented individual with the ability to quickly assimilate and apply new concepts, business models, and technologies.
• Travel:  Please note this role will involve some travel between 10-30% depending on demand.
• BS degree in Engineering (Mechanical, Industrial, Computer Science). MS/MBA degree is a plus
• Fluency in English and German is required 

Key Responsibilities:

• Work closely with Account Executives to progress opportunities through the pipeline and secure the technical win — from early discovery through close, with a shared evaluation plan and clear success criteria in place before the evaluation starts
• Perform deep discovery and requirements analysis. Understand the prospect's operational pain points, the business impact of solving them, and what a successful outcome actually looks like for that customer
• Develop, present, and deliver high-impact technical demonstrations tailored to the prospect's environment — demos, technical presentations, architectural discussions, and proof of concept work
• Clearly articulate the value of Tulip to all levels: line of business managers, C-level executives, and IT
• Build Business Value Assessments (BVAs) that connect operational improvements to financial outcomes and give economic buyers something concrete to act on
• Develop proposals and responses to RFx (RFI, RFP, RFQ), technical assessments, and security questionnaires
• Lead scoping and estimation of implementation projects in partnership with Tulip's Professional Services team
• Bring structured feedback back to Product and Engineering — prospect requests, capability gaps, competitive patterns
• Build and improve team assets: playbooks, demo environments, evaluation frameworks, and Tulip’s internal AI tooling

Key Collaborators:

• Pre-Sales Engineering 
• Sales Team: Account Executives, Channel Partner Team
• Post-Sales Teams: Professional Services, Customer Success Managers, Technical Account Managers
• Marketing: Product Marketing, Event Marketing