VP Marketing

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.

What You'll Do:

1. Market & GTM Strategy:

• 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.
  2. Category Narrative & Thought Leadership:
• 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.
  3. Account-Based & Strategic Marketing:
• 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.
  4. Demand Generation & Product Marketing:
• 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.
  5. Marketing Operations, Metrics & Team Leadership:
• 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.

Experience & Background:

• 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.
  Skills & Working Style:
• 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.
  Leadership & Mindset:
• 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.

The Problem is Real:

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 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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