Strategic-Jobs in Deutschland

SPREAD is a Berlin-based Industrial AI SaaS company pioneering Engineering Intelligence for complex manufacturing industries. We've built the first AI-powered platform that connects fragmented engineering data to create a unified "Product Truth," enabling automotive OEMs, aerospace manufacturers, and defense contractors to trace requirements to field performance, diagnose root causes in minutes (not weeks), and simulate system-level changes before implementation.

We’re looking for a VP Marketing & GTM Strategy to drive SPREAD focus areas, clarify how we win in those segments, and which go‑to‑market motions we scale. You will combine structured problem-solving with hands‑on execution to build a marketing engine that reliably generates and progresses a multi‑million‑euro enterprise pipeline.

This is a senior, business‑critical role working directly with C‑level, owning GTM strategy and the marketing function end‑to‑end.

As VP Marketing & GTM Strategy, you will :

• Define SPREAD’s market narrative, positioning, and target segments .
• Design go‑to‑market strategies for key industries and accounts, in collaboration with Sales and Product.
• Build an integrated marketing engine across thought leadership, ABM, demand, and product marketing.

Lead and develop a multi-disciplinary marketing & BD team with clear priorities, metrics, and operating rhythm.

You’ll report to , SVP Go-to-Market , and work closely with the Founders and Leadership team.

• Develop a clear view of priority segments and buying centers in automotive, aerospace, defense, and related industries.
• Define ideal customer profiles and use cases where SPREAD has a strong right to win.
• Build GTM playbooks per segment : value drivers, key messages, competitive alternatives, and recommended motions.
• Turn strategy into a prioritised portfolio of initiatives with explicit hypotheses, success criteria, and timelines.

Prepare executive‑ready GTM plans and updates that align leadership around focus and trade‑offs.

• Own the Engineering Intelligence narrative : what it is, why it matters now, and how SPREAD differs from PLM / ALM, analytics, and generic AI tools.
• Shape a content strategy using POV pieces, case studies, and talks to reach both technical leaders and business stakeholders.
• Represent SPREAD at selected industry events and roundtables through keynotes and panels.

Build repeatable formats for customer stories and playbooks that commercial teams can use in their engagements.

• With Sales, identify strategic accounts and design account‑specific programs (workshops, executive briefings, co‑innovation formats).
• Structure multi‑step journeys for these accounts, from initial education to pilot, expansion, and long‑term partnership.
• Maintain a structured view of each strategic account : stakeholders, buying process, current state, risks, and opportunities.

Orchestrate field, content, and digital activities required to progress opportunities through long sales cycles.

• Oversee integrated campaigns across content, events, digital, and partnerships that map to your GTM plays.
• Ensure product positioning and messaging are clear and specific for each key persona and industry.
• Align with Product on launch plans for major releases and ensure Sales has effective enablement (decks, stories, ROI cases).

Work with specialists to execute performance and lifecycle marketing while maintaining ownership of priorities and effectiveness.

• Define the core metrics for marketing effectiveness : pipeline contribution, conversion rates, velocity, and coverage in target accounts.
• Collaborate with Revenue Operations to ensure reliable data and dashboards in HubSpot / Salesforce.
• Establish a planning and review cadence : quarterly priorities, monthly reviews, and a manageable pipeline of experiments.
• Hire, coach, and develop a high‑performing team across product marketing, demand / field marketing, and operations.

• 8–12+ years in B2B software or industrial technology , with responsibility for go-to-market and marketing in enterprise environments.
• Experience designing or leading GTM strategy for high‑ACV, multi‑stakeholder deals .
• Proven track record of working closely with Sales and Product on shared pipeline and revenue goals.

Exposure to technical or engineering-driven products (platforms, data / AI, industrial or engineering tools) and the ability to quickly understand complex technical concepts.

• Structured problem‑solver : able to break down ambiguous GTM questions into clear analyses and decision options.
• Strong storytelling and communication skills : you can frame complex topics for executives, engineers, and commercial teams.
• Comfortable with data and metrics : you understand funnels, unit economics, and how to design tests to validate assumptions.
• Able to move between strategy and hands‑on work : from crafting narratives and frameworks to shaping key decks and campaigns.

Skilled at cross‑functional collaboration , aligning stakeholders around a small number of important priorities.

• Proven ability to build and lead teams , set expectations, and create an environment where specialists can do their best work.
• Bias for clarity and focus : you simplify where possible, make decisions, and ensure important work is finished.
• Comfortable in a growth‑stage environment with incomplete information and evolving priorities.
• High sense of ownership for business outcomes , not just marketing activity.

Automotive OEMs, aerospace manufacturers, and defense contractors are drowning in engineering complexity. Software‑defined vehicles have 10x the software they did a decade ago. Engineers lose 40% of their time searching for information across 15+ disconnected systems. Our customers are desperate for a solution!

• AI moment : Industrial AI adoption is accelerating (GenAI, predictive analytics).
• Market tailwinds : Every OEM transitioning to software‑defined products.
• Regulatory pressure : DO‑178C (aerospace), ISO 26262 (automotive) require traceability.
• Budget : Engineering Intelligence is now a C‑level priority (CTO, CDO budgets).

• TAM : €15B+ (PLM + ALM + Engineering Analytics markets).
• Competitive moat : Proprietary Engineering Intelligence Network (EIN) ontology, 3+ years of R&D.
• Land & Expand : Start €300k, expand to €2M+ per account (VW, BMW proof points).

• Ownership : You own the outcomes, not just the activity.
• Impact : Your work directly moves revenue and the company’s trajectory.
• Learning : Weekly exec team strategy sessions, access to top advisors.
• Flexibility : Remote‑friendly, Berlin HQ, work from customer sites when needed.

Dmytro İefymenko

Köpenicker Str. 40c | 10179 Berlin

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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.