Principal Product Marketing Manager

Gong.io•Salt Lake City, UT

17h•$174,000 - $250,000•Remote

About The Position

Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world’s most successful revenue teams. Powered by the Gong Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, Gong helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort. At Gong, you will join a company built on innovative products, ambitious goals, and passionate people. We are shaping the future of revenue intelligence and we want people who are excited to build what comes next. You will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. Here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact. If you want to grow, stretch, and do work that truly matters, Gong is the place to do the best work of your career. We are looking for a Principal PMM to own the narrative, strategy, and GTM for the fastest-moving surface in our platform – the agentic execution layer that turns everything Gong knows about a revenue organization into action. This is where the vision for the Gong Revenue AI OS becomes real for the market. This is not a role for someone who wants to market features. This is a category-defining role for a technical buyer audience. You will shape how enterprise IT and revenue operations leaders think about agentic AI for revenue: what governed execution actually looks like, how organizations move from agent sprawl to a coordinated operating model, and why the data foundation underneath agents is what determines whether they deliver compounding value or plateau. You will partner closely with Product, GTM, and executive leadership to turn a genuinely new architectural concept into a narrative that earns trust with buyers who evaluate infrastructure, not just software.

Requirements

8+ years of B2B product marketing experience, with 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 workflow concepts: triggers, actions, plays, next-best-action, human-in-the-loop governance, MCP integrations, and how enterprises think about AI governance and data residency.
Exceptional written and verbal communication skills. You write with precision, distill architectural concepts into narratives that earn trust, and can adapt your message to a variety of audiences across business and technical audiences.
A bias toward evidence and action — you test positioning with customers, validate it in win/loss data, and iterate based on what actually moves technical buyers.
Comfort operating in ambiguity and at pace. Gong ships fast. You will make good decisions with incomplete information and adapt as the product and market evolve.
Experience marketing to RevOps, Sales Operations, or Revenue Leadership (CRO, VP Sales) personas.
A track record of making complex, multi-layered systems feel coherent and inevitable to skeptical enterprise buyers. You have had to explain governance models, data permissioning, orchestration logic, or agent lifecycle management and made it land.
Prior experience working on a product that was actively defining or expanding a market category, not just competing in an established one.
Experience with analyst relations (Gartner, Forrester) — you have presented at briefings, shaped Magic Quadrant narratives, or contributed to Wave evaluations.
Comfort with quantitative analysis: win/loss data, pipeline influence metrics, adoption curves, and consumption/credit pricing models.

Responsibilities

Own the technical buyer narrative — define positioning and messaging that earns credibility with CIOs and RevOps leaders evaluating enterprise AI infrastructure for revenue. Go beyond outcomes: make governance models, orchestration architecture, data permissioning, and agent lifecycle management feel purpose-built and immediately trustworthy.
Build the infrastructure conversation — develop the content, frameworks, and tools that help CIOs and RevOps architects understand how Gong fits into their AI stack. This means data flows, governance controls, agent coordination, MCP integrations, audit trails, and the role of the Gong Revenue Graph as the grounding layer that makes autonomous execution reliable at enterprise scale.
Unify AI and execution into a single story — intelligence and execution are one product. Your job is to make the integrated picture feel inevitable to a technical buyer who has spent the past 18 months evaluating fragmented point solutions and wondering why none of them hold up in production.
Take a portfolio view — make and defend recommendations about how AI execution capabilities are packaged and monetized across the platform.
Shape product and GTM strategy — bring structured buyer, competitive, and analyst insights into product planning; develop a deep POV on how enterprise IT and revenue operations teams evaluate, adopt, and govern agentic AI; be the team’s expert on how this market is evolving and how enterprises are making platform decisions.
Drive high-impact launches — partner with the broader PMM team, PM, Enablement, sales, post-sales, comms, and ops to drive launches from brief to execution.