Product Marketing Director

USA (Remote)

Salary Not AvailableDirector/Executive6+ years expFull time

Posted 2 months ago

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Job Summary

Own AI-enabled category strategy and continuous voice-of-customer to shape positioning, pricing, and launches, while building scalable, AI-driven enablement and competitive intelligence that keep reps effective at scale.

  • AI-powered enablement: scale sales motion with retrieval-based workspaces and living win/loss synthesis.
  • Voice-of-customer & competitive intelligence: translate raw signals into evolving positioning and assets.
  • Pricing, launches, and executive buyer motion: align packaging with market signals and product priorities.

Job Description

  • Own positioning, narrative, and category strategy for a category being rewritten by AI in real time.
  • Build dynamic, AI-powered enablement systems (such as shared sales workspaces with retrieval and automated win/loss synthesis) rather than static one-off assets.
  • Decide what stays human and what becomes an agent. Architect the prompts, retrieval, and automation that let the team operate at a scope a traditional PMM org can't match.
  • Run voice of customer as a continuous function. Work directly from raw inputs (sales calls, customer interviews, product demos, win/loss conversations) and turn unstructured signal into positioning and enablement. Output is a living view of why we win, why we lose, and what's changing.
  • Operate competitive intelligence as an always-on monitoring system that updates downstream assets as competitor inputs change.
  • Partner with the VP of Product on pricing and packaging for the up-market and executive buyer motion. Test changes against deal size and win rate.
  • Build sales enablement with reps in their selling motion. Measure on usage and revenue impact, kill what doesn't get used.
  • Work directly with the CEO to capture and systematize his product and market expertise into usable internal frameworks and external positioning.
  • Partner with the VP of Product on launches: position capabilities before they ship, then close the loop from market reception back to product priorities.
  • Run experiments with hypotheses, success criteria, and kill criteria. Report results, including the ones that didn't work.