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Index/Marketing/Product Marketing Adventures
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Enable salespeople with AI like an Optiversal PMM

Product Marketing Adventures · 2026-03-17 · 51 min

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Topics in this episode

PositioningMessagingproduct marketing

Episode notes

Sales enablement only looks like a messaging problem from a distance. Up close, it’s usually a systems problem. No clear strategy, no feedback loop, and training that happens once, then disappears. In this episode, Michele Nieberding, currently head of product marketing at Optiversal, breaks down how she transformed sales enablement during her time at Treasure Data by starting with diagnosis, not deliverables. She shares how to spot the early signals, like stage-specific drop-offs and objection patterns, then use real rep conversations to build clear hypotheses about what’s actually breaking in the sales cycle. From there, Michele walks through how she rebuilt enablement through purposeful experimentation. Not one big rollout, but repeatable reinforcement that actually changes behaviour. We cover why one-off trainings don’t work, how to make learning stick through repetition and feedback loops, and why measuring even small improvements in cycle time or stage conversion is what earns enablement trust.

Related episodes across the Index

Other episodes covering the same guests and topics, from across The B2B Podcast Index.

  • 25 Years of (Product-Led) Growth: Actionable B2B Lessons From Leah TharinEveryone Hates Marketers · on Positioning96 / 100
  • Event ROI for Early-Stage Startups: Lessons Learned the Hard WayA Go-To-Market Perspective · on product marketing88 / 100
  • Clear Expectations and Skill Capacity: A Sales Leader's Balancing Act with Chris OrlobPillar Talk · on product marketing88 / 100
  • B2B SaaS Marketing: No progress after Series A without product marketing (episode #148)How I Made it in Marketing · on product marketing88 / 100
  • Why Some SaaS CMOs Flourish in PE-Backed Orgs, and Others Flame OutThe Get · on product marketing86 / 100
  • EPISODE 11: Michele Nieberding Shares Her Top Use Cases and Future Predictions for AI in Product MarketingThe Last Word on Product Marketing · on product marketing84 / 100

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