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Senior Product Marketing Manager

SSpread
Seniority
Senior
Model
Hybrid
Sector
B2B SaaS
Salary
Undisclosed
Contract
Full-Time

Own how SPREAD is positioned, messaged, and understood by engineering leaders at enterprise accounts. You translate a deeply technical product into narratives that win deals, arm Sales with competitive intelligence and enablement assets, and partner with Product and Engineering on go-to-market.

What you'll do

  • Own positioning and messaging for SPREAD's platform, turning engineering intelligence into value propositions that land with top engineering leaders.
  • Build and maintain competitive intelligence across the PLM and engineering data landscape and turn it into battle cards and objection-handling guides that Sales uses daily.
  • Create sales enablement assets that shorten enterprise sales cycles and improve win rates.
  • Partner with Product and Engineering on go-to-market for product releases, connecting every launch to a measurable customer outcome.
  • Develop thought leadership content that builds credibility with deeply technical audiences.
  • Partner with Growth and GTM Ops on campaign messaging and account targeting so demand gen speaks the right language to the right pain points.
  • Represent SPREAD at industry events and customer conversations where engineering leaders expect a peer-level discussion about their domain.

What you'll need

  • 5+ years in B2B product marketing or technical product management for enterprise software or complex technical products, with hands-on ownership of positioning, messaging, and go-to-market.
  • Technical fluency through an engineering or technical degree, or through deep experience managing or marketing highly technical products.
  • Experience building sales enablement for complex enterprise deals (€100K+ ACV, 6-12-month cycles, multi-stakeholder buying committees).
  • Strong competitive intelligence instinct. You track competitors, articulate differentiation in the buyer's language, and prepare sales teams for live objection handling.
  • AI-native working style. You use AI tools daily to scale your output, from content creation to research to workflow automation.
  • Native or near-native English. Working-level German minimum. If German is your native language, strong English is sufficient.
  • Based in Berlin or close enough for regular in-office collaboration, especially during the first months.

What they offer

  • Attractive compensation and annual learning budget
  • Deutschlandticket mobility budget, bike-leasing, and Urban Sports partnership
  • 30 vacation days, workation options, and one paid volunteering day per year
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