Drimva

Gong

Principal Product Marketing Manager

$174K–$250K

Austin +5 · Principal · Full-time · Posted May 29, 2026

Location
Austin
Chicago
New York City
Salt Lake City
San Francisco
San Francisco, California, United States
Experience
8+ years of B2B product marketing; at least four years owning the full PMM lifecycle for a qualifying enterprise SaaS product.

About the job

Owns positioning, narrative, and go-to-market strategy for Gong’s agentic AI execution platform, aimed at enterprise technical buyers.

What you'll do

  • Develop technical-buyer messaging and content on AI infrastructure, governance, orchestration, data flows, and integrations.
  • Shape packaging, monetization, product planning, and go-to-market strategy using buyer, competitive, and analyst insights.
  • Partner across teams to drive product launches from planning through execution.

What they ask for

  • 8+ years of B2B product marketing experience, including at least four years owning the full PMM lifecycle for an AI platform, agentic infrastructure, or complex workflow product at an enterprise SaaS company, with demonstrated success marketing to technical buyers.
  • Working knowledge of agentic workflows, including triggers, actions, plays, next-best-action, human-in-the-loop governance, MCP integrations, AI governance, and data residency.
  • Experience marketing to RevOps, Sales Operations, or revenue leadership personas.
  • Strong communication skills and experience translating complex systems for enterprise buyers; evidence-based positioning and comfort operating amid ambiguity are also required.

Nice to have

  • Experience with analyst relations, including Gartner or Forrester briefings or evaluations.
  • Experience with category-defining products and quantitative analysis of win/loss, pipeline influence, adoption, or consumption/credit pricing.

Pay

$174,000 - $250,000 USD (annual salary; base compensation)

Tools

MCP integrations, Gong Revenue Graph

AI focus

Market agentic AI for revenue, including governed execution, orchestration, data foundations, agent coordination, and enterprise AI infrastructure.

Model-written summary · the original posting is authoritative

First seen Oct 27, 2026 · Last verified Nov 6, 2026 (UTC)