Sales owns the conversation. PMM makes sure the conversation keeps getting better.

I stay close to what sellers are hearing, connect it to product, customer, market, and competitive context, and turn what matters into better support for the next conversation.

  1. Listen. Stay close to what the field is hearing.
  2. Detect. Find the pattern at the right level.
  3. Verify. Test the interpretation before changing the message. Verify → Revise → Remove.
  4. Equip. Turn what matters into useful seller support.
  5. Learn. Watch what happens next and improve the system.
One example, from one run

In a run on Ramp’s Router launch: “customers cut inference costs about 40% on average” is Ramp’s number, relayed by press, with no cohort, window or denominator and no third-party audit. Ruling: not safe as fact. A seller may say “Ramp reports…” and nothing stronger, and the figure never becomes an internal planning number. See the run →

Explore inputs

Calls and transcripts, deal context, seller feedback, customer language, product changes, competitive movement, and usage evidence, for example. Recordings and transcripts are permissioned inputs for improving support, never surveillance or personality scoring.

See what PMM can produce

Whatever the next conversation needs: a talk track, an objection response, a battlecard, a proof point, demo guidance, a briefing, or something else. The artifact is not the system. It is one output the system produces.

How personalization works

Standardize what is true. Flex how it is delivered. The same truth can reach the whole team, one segment, one account, one deal, or one seller's next conversation, in the form that seller will use. The system adapts the support, not the person.

Team boundaries

Sales owns the relationship, the live conversation, and deal judgment. PMM owns keeping the message, proof, market context, and enablement current. That partnership learns from what customers are saying and improves the next conversation.

Modus Create · Founding PMM

Built the enablement that carried the story to enterprise accounts: an honest competitive comparison against native Confluence and the alternatives, ROI cases, battlecards, and an enterprise-security narrative.

Read the case study
Jerry Nettles
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Senior Product Marketing

Product marketing should make the whole company better.

I build the product marketing function and keep it current.

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Make better decisions with the whole picture.

Know what deserves attention.

Six functions

Pick one. Each opens a room.

A short story of how the function runs, then a calm operating view you can stay on.

Jerry OS is how I run product marketing: evidence graded before it’s used, theses tested against each other, every claim verified before it ships, and outside review before anyone sees it. AI is the leverage under it; the judgment is mine. See the whole system run once, in the open →