Jobs Companies Pigment Product Marketing Manager

Über diese Product Marketing Manager Stelle bei Pigment

Pigment · Remote · San Francisco or New York
Opening from Default - US
Join Pigment: The AI Platform Redefining Business Planning
 
Pigment is the AI-powered business planning and performance management platform built for agility and scale. We connect people, data, and processes in one intuitive, feature-rich solution, empowering every team—from Finance to HR—to build, adapt, and align strategic plans in real time.
 
Founded in 2019, Pigment is one of the fastest-growing SaaS companies globally. Industry leaders like Unilever, Snowflake, Siemens, and DPD use Pigment daily to make more informed decisions and confidently navigate any scenario.
 
With a team of 600+ across Paris, London, New York, Toronto, San Francisco and Austin, we've raised nearly $400M from top-tier investors and were named a Visionary in the 2024 Gartner® Magic Quadrant™ for Financial Planning Software.
 
At Pigment, we take smart risks, celebrate bold ideas, and challenge the status quo—all while working as one team. If you're driven by innovation and ready to make an impact at scale, we’d love to hear from you.

Who You Are:
  • 6+ years as a Product Marketing Manager in a B2B SaaS company.
  • Proven experience owning positioning and messaging for a platform, product, or solution area.
  • Experience shaping narrative for executives, you've written content a senior leader actually delivered on stage.
  • Strong interest in and familiarity with AI-driven products or narratives, with the ability to communicate them credibly.
  • Comfortable holding multiple workstreams at once.
  • Excellent written and verbal communication skills, with confidence engaging senior and executive stakeholders directly.
  • Highly structured and autonomous, comfortable operating in ambiguous, fast-moving environments.
  • Collaborative mindset, able to influence across Product, Marketing, Sales, and Communications without formal authority.
  • Comfortable working with data and using it to support your recommendations.
  • Curious and eager to experiment with AI, and with new ways of working more broadly.
  • Fluent in English.
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