The setting
offers , a cloud platform that captures customer conversations and data from customer relationship software. Sales reps, managers and revenue leaders use it for sales insights, forecasting, coaching and workflow automation.
A campaign audience can be relevant on its own and still collide with an active program.
The pilot must protect message relevance for RevOps leaders while preserving a clean view of which campaign generated demand.
Who you’d be doing this for
“I got two different messages this week, and both claimed they were built for my priorities.”
Sarita Pandey · Vice President of Revenue Operations · a character in this brief
A corporate revenue leader receiving campaigns while assessing how governed AI fits into an existing revenue stack.
What is at stake
RevOps leaders are appearing in two active corporate campaigns. You must decide whether AI proposes segments only, or also recommends which active campaign yields.
Why it isn’t already fixed
Every obvious fix costs something else. That’s the part you’d have to decide.
- audience precision vs. reachable pipeline volume
- shared buyer context vs. differentiated campaign narratives
- overlap prevention vs. launch speed
- enrichment breadth vs. explainable targeting
Why Gong
Gong Revenue Graph context and Gong Engage flows meet at the point where corporate campaigns turn buyer signals into pipeline.
Written with these in mind
Not your kind of problem? 21 more at Gong, or browse every organization.
Where the organization context comes fromThe postings this brief was written from, and the reporting read before it.
The organization context comes from public information. The situation and characters are written for the brief.
Job postings it was written from
Public descriptions of the work at Gong. They are listed as sources, not as openings. The lines under a posting are its own words, where it meets this brief.
- Principal Product Marketing Manager (opens in a new tab)
- Own the technical buyer narrative — define positioning and messaging that earns credibility with CIOs and RevOps leaders evaluating enterprise AI infrastructure for revenue.
- 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.
- Email Marketing Manager (opens in a new tab)
- Partner closely with the Senior GTM Automation & Systems Manager to translate audience strategy and segmentation into messaging that matches the moment, the signal, and the buyer's stage
- Lead and execute email programs across the full lifecycle, from 1:many brand and nurture programs to 1:few segment campaigns to 1:1 sales-style outreach that drives MQL conversion, ensuring every send has a clear audience, purpose, and next action
- Vice President, Product Marketing (opens in a new tab)
- Work with the Content team to deliver high-impact materials that engage buyers from awareness through decision, plus speaking opportunities that reinforce Gong’s position as the leader in Revenue AI.
- Immerse yourself in the customer’s world, including pain points, buying journey, and decision criteria, and translate Gong’s product value proposition into quantifiable customer value and business outcomes.
- Sr. Director of Web Strategy & Experience (opens in a new tab)
- Director of Web Strategy & Experience to own the strategy, design, and performance of our flagship corporate website ( gong.io ).
- Vision & Strategy: Define and execute the roadmap for gong.io, ensuring seamless alignment with corporate messaging, brand identity, and GTM strategy.
- Sr. Revenue Marketing Manager, Commercial & Mid-Market (opens in a new tab)
- Lead with AI and automation: Use tools like Clay, Claude, and AI agents to build enrichment, targeting, personalization, and orchestration workflows that let a lean team operate at scale.
- Own the number: Drive to quarterly sourced pipeline targets for the Corporate segments, with a focus on volume, quality, and conversion.
This is the setup. The work is inside.
Running it puts you in the room: the full situation and its constraints, stakeholders who push back in their own words, and the decisions that are yours to make. What you produce becomes a Day One Plan — work you can show someone instead of describing.
Where similar work appears
Other live briefs connected to this one, and what connects them.
Similar problems at other organizations
Like this one, each of these is about betting growth on an outside partner or launch.
A proposed home promotion shares 38% of its sampled audience with an electronics campaign.
You decide whether the prototype drops shoppers already in the electronics campaign itself or leaves each shared shopper for a strategist to keep or exclude.
Approved briefs are waiting because strategists rebuild audience rationale from Salesforce and prior campaign pages.
You must decide whether the AI drafts the audience hypothesis from the Salesforce records or only gathers them for strategists to read and write from.
Commercial briefs are being reopened because campaign results and buyer discussions point to different next moves.
You have to decide what AI can recommend, what evidence it must show, and where strategist judgment stays final.
The same setting, from another role
Each is set around Gong’s Gong Revenue AI OS, written for a different role. They’re separate briefs, not the same scenario.
Sales managers spend 40 minutes checking proposed CRM changes in each evaluation.
You must choose what to prototype and prove customers can operate it themselves.
A customer will delete 60,000 interactions tonight, with consent unresolved for 3,200.
You must weigh permanent evidence loss against irreversible disclosure.
A customer rehearsal has 8 broken inspections out of 20.
You must weigh a reusable handoff change against a fixed dataset that preserves today's session.