Werkstudent:in Marketing & GTM Operations (f/m/d)

Berlin (Hybrid)

Teilzeit

Werkstudierende

Kurzbeschreibung

SPREAD is building Engineering Intelligence software that helps the world's leading industrial OEMs understand and optimize their most complex products. Customers, including BMW, Mercedes-Benz, Volkswagen, Bosch, and Rheinmetall, rely on SPREAD to accelerate development cycles and cut inefficiencies at scale. Backed by $30M in Series B funding, SPREAD is a LinkedIn Top Startup DACH and SPARK AI Innovation Award winner.
You'll join SPREAD's GTM team as the operational backbone of marketing execution. You own event logistics, keep the sales enablement library current and ship-ready, and run AI-assisted research for account-based marketing.
This is a working student role at 16 to 20 hours per week, with real ownership from day one. On-site presence in Berlin is expected, particularly around events.

Deine Verantwortung

Plan and execute logistics end-to-end for SPREAD events, including conferences, satellite dinners, bootcamps, and the Industrial AI Summit, covering invitations, target-list coordination with Sales, materials, on-site support, and post-event follow-up tracking.
Own the event asset checklist in collaboration with Design, ensuring booth materials, dinner collateral, and demo stations are ready and on-brand ahead of every event.
Maintain and version the sales enablement library (decks, one-pagers, case studies, battle cards) so the field always has current, findable materials without having to ask.
Take raw inputs such as call notes, win stories, and product updates, and produce first-draft collateral using our AI toolchain, shipping review-ready assets to the senior team on a defined cadence.
Run AI-assisted account research for executive outreach, producing briefings, competitive snippets, and event target lists using structured prompts and our internal toolchain.
Manage light content operations: schedule posts, format LinkedIn carousels, and track engagement metrics so the team acts on signal rather than instinct.

Deine Erfahrung

Must-have:

Currently enrolled in a Bachelor's or Master's program in business, communications, engineering, or a related field; available at least 16 hours per week from September 2026.
Demonstrably AI-native: you already use LLM tools such as Claude, Cursor, or equivalent to produce real work, so bring something you have built or automated rather than a CV line about it.
Comfortable picking up new tools without hand-holding, including Salesforce, CMS platforms, design handoff tools, and Markdown.
Organized and deadline-driven by default; events work means "closed loops by Thursday", not open threads waiting on input.
Fluent in English; German at a professional working level for DACH events and customer-facing materials.

Strong plus:

Prior exposure to B2B SaaS, enterprise sales, or event execution contexts, including student-level roles.
Hands-on experience with Salesforce, HubSpot, or a comparable CRM as an active user.
Interest in automotive, industrial, or engineering sectors, with genuine curiosity about how complex products are built.
Familiarity with Canva, Figma handoffs, or slide master management.

Warum SPREAD?

A front-row seat in an AI-native GTM org: you will see how modern B2B marketing runs at a company with OEM relationships at BMW, Mercedes-Benz, and Volkswagen, working alongside a senior team that owns real enterprise deals.
Real ownership of live workstreams across events, enablement, and ABM research, not shadowing and not busywork.
The full AI toolchain and an explicit mandate to use it; nobody here will ask you to do manually what a well-prompted model can draft.
Deutschlandticket mobility budget and Urban Sports Club partnership.
Lunch provided three times per week at our Berlin office.

Ansprechpartner

Dmytro İefymenko
recruiting@spread.ai

SPREAD AI
Köpenicker Str. 40c | 10179 Berlin

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Über uns

SPREAD ist das Unternehmen für Agentic Engineering Intelligence. Unsere Low‑Code‑Plattform verwandelt verstreute Hardware‑ und Software‑Produktdaten in lebendige Product Twins und schafft damit eine KI‑fähige Wissensbasis, die Entscheidungen und Automatisierung entlang des gesamten Produktlebenszyklus ermöglicht.
Herzstück der Lösung ist das weltweit erste universelle Engineering‑Informationsmodell (EIN): ein semantisches Schema, das alle Domänen‑ und Lebenszyklusdaten in einem föderierten Engineering Intelligence Graph verknüpft und kontinuierlich weiterentwickelt. Auf dieser Basis orchestrieren spezialisierte KI‑Agenten Aufgaben wie Compliance‑Checks, Abhängigkeitsanalysen oder Spezifikationsgenerierung – direkt in der gewohnten Arbeitsumgebung der Ingenieure.
Der Nutzen ist messbar: Unternehmen verkürzen ihre Time‑to‑Market um das Zehnfache, senken Lifecycle‑Kosten um 50 % und steigern gleichzeitig die Produktqualität.
Weltmarktführer wie Volkswagen, Mercedes‑Benz, BMW, Audi, Rheinmetall und viele weitere vertrauen bereits auf SPREAD, um die nächste Generation software‑definierter Produkte zu entwickeln.
Mit Hauptsitz in Berlin liefert SPREAD Enterprise‑Grade‑Security (ISO 27001 & TISAX), volle DSGVO‑Konformität sowie flexible Deployment‑Optionen in der Cloud oder On‑Premise.

Unsere Vision:
Die Zukunft des Engineerings ist datengetrieben und agentisch: Wir machen Produktdaten zur zugänglichsten, intuitivsten und wirkungsvollsten Ressource, damit Ingenieur*innen ihre Kreativität voll entfalten und Innovation in großem Maßstab freisetzen können.