Short Description
At SPREAD, we help engineering teams at companies like Mercedes-Benz, Volkswagen, BMW, Bosch, and Rheinmetall manage the complexity of software-defined vehicles and products.
Our software specializes in contextualizing complex engineering and software data, turning it into actionable Engineering Intelligence. With preconfigured apps and AI agents, teams can access and apply critical product knowledge more effectively — enabling them to bring complex products to market up to 10x faster, at half the cost, and with higher quality.
SPREAD has been recognized for its innovation with awards like the 2024 SPARK AI Innovation Prize (by Handelsblatt & McKinsey), is part of the EU AI Champions Initiative, and ranked among LinkedIn’s Top 20 Startups in DACH.
Your Mission
* Own the sales process: You’ll drive the full sales funnel — from lead generation to closing high-impact deals.
* Build strategic account plans: You’ll craft and execute tailored strategies to ensure long-term customer success and retention.
* Grow customer relationships: You’ll maximize Customer Lifetime Value through proactive account management and upselling.
* Develop a powerful network: You’ll build strong relationships with C-level decision-makers and position SPREAD as a trusted advisor.
* Tailor compelling presentations: You’ll create high-impact, customer-centric presentations that address real needs.
* Lead value-driven negotiations: You’ll negotiate contracts with confidence and fairness, securing win-win outcomes.
* Drive innovation: You’ll bring new ideas to the table and navigate challenges with strategic finesse.
* Deliver accurate forecasting: You’ll own your pipeline, provide precise sales forecasts, and keep everything well-documented in Salesforce.
Your Experience
* You thrive on identifying and pursuing new opportunities, building a robust pipeline, and achieving sales targets.
* 4+ years of full-cycle SaaS sales experience, preferably in Automotive, Aerospace, Defense, Machinery, or related industries, covering the Italian market.
* Skilled in account planning, opportunity identification, and applying frameworks such as SPIN or MEDDIC.
* Demonstrated ability to confidently connect with and sell to C-level executives.
* Experience managing complex sales cycles and co-creating tailored, high-value solutions for clients.
* Adept at presenting to diverse stakeholders and closing enterprise deals.
* Structured and organized with the ability to prioritize effectively across multiple sales opportunities.
* Native/Fluent in the Italian language.
Why us?
* Category Creators: Our Agentic Engineering Intelligence platform connects fragmented hardware and software data into dynamic Product Twins. AI agents operate on this foundation to automate compliance checks, dependency analysis, and spec generation — enabling 10× faster time-to-market and 50% lower lifecycle costs for OEMs like Volkswagen, Mercedes-Benz, and Rheinmetall.
* Industry-Relevant Impact: Traditional PLM systems hit their limits with software-defined products. At SPREAD, you'll guide leading manufacturers into the AI-driven era of engineering — unlocking millions in savings.
* High Growth & Ownership: We’ve grown double digits every year since 2019 — and there’s a greenfield ahead in untapped industries and regions, ready for you to shape.
* Competitive Package: Attractive OTE with uncapped commission, company car or mobility budget (e.g. Deutschlandticket), Urban Sports Club membership, 30 vacation days, workation options, a volunteering day, and a €1,000 learning budget.
* Security & Flexibility: ISO 27001 and TISAX certified, fully GDPR-compliant, with flexible deployments (cloud or on-prem) and a hybrid work model designed to fit your life.
Contact
Dmytro Iefymenko
SPREAD GmbH
Prinzessinnenstraße 8-14
10969 Berlin
Our Engineering Intelligence Graph, analytics hub & low-code collaboration environment form an intelligent layer on top of your existing engineering software stack.
Our EI Graph database represents how mechatronic systems work. Together with our analytics hub, it connects all product data and puts it into logical context. This makes it easy for engineers across all domains to consider critical dependencies in their flow of work.
This means they can save time, make fact-based decisions efficiently, and spend their time on complex engineering tasks.