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.
The launch must promise shared revenue context without weakening the governance story that makes execution credible.
CIOs want interoperability across their AI stack, while RevOps leaders need permissioning and audit trails they can defend.
Who you’d be doing this for
“My CIO keeps asking where the context goes after an agent acts, and I need an answer before our forecast meeting.”
Nwe Setiawan · Chief Revenue Operations Officer · a character in this brief
Owns forecast reliability and the systems revenue teams use to act on deal signals.
What is at stake
Enterprise CIOs are pausing technical validation over incompatible claims about revenue context. You must choose a proof-backed story that can survive security review and still create qualified pipeline.
Why it isn’t already fixed
Every obvious fix costs something else. That’s the part you’d have to decide.
- open revenue context vs governed execution
- pipeline urgency vs claim discipline
- analyst visibility vs buyer proof
- platform narrative vs technical specificity
Why Gong
Gong Revenue Graph sits at the center of the enterprise case for governed revenue context and agentic execution.
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)
- Collaborate with Demand Gen, Content, Product Marketing, and Field Marketing to ensure email programs reflect current GTM priorities, campaigns, and segment narratives
- 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)
- Use the customer’s own language, drawn from win-loss analysis, customer interviews, and sales conversations in Gong, as the raw material for positioning and messaging.
- Own launch narrative, enablement, and execution across every customer touchpoint so new products and capabilities land with the GTM team and drive customer engagement, adoption, and growth.
- Sr. Director of Web Strategy & Experience (opens in a new tab)
- Technical Infrastructure: Partner with web development and IT to ensure optimal CMS architecture, page load speed, AEO technical health, and security standards.
- You will sit at the intersection of brand narrative, product marketing, conversion rate optimization, and web engineering.
- Sr. Revenue Marketing Manager, Commercial & Mid-Market (opens in a new tab)
- Be the connective tissue: Surface and package everything happening across Gong that Corporate sales can take advantage of, like webinars, events, campaigns, and proactively communicate what's happening, what's planned, and how reps can use it.
- You'll design and execute scalable demand generation programs that bring in high-quality, marketing-sourced pipeline so our AEs and SDRs can spend more time closing and less time prospecting.
Reporting read before this brief was written
The pieces closest to the situation in this brief.
ISG's 2026 Buyers Guide for Revenue Intelligence, dated September 18, 2026, ranked Salesforce first, Gong second and Salesloft third among 12 providers.
ISG Buyers Guide Revenue Intelligence 2026 Executive Summary (opens in a new tab) · research.isg-one.com · Sep 18, 2026
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.
Thirty CIO accounts are engaged, but technical reviews keep ending in disqualification.
You must choose whether AI governance or tool consolidation leads the one funded field program.
Forty-one percent of trial workspaces start a Coding Session, but only 9% buy additional AI credits.
You need to weigh conversion urgency against a pricing narrative customers can verify after they commit.
Enterprise interest is high, but administrator concerns are preventing qualified opportunities from advancing.
You must weigh AI-led demand against the governance proof buyers need to commit.
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.
Other problems with a similar purpose
In each of these, as in this one, the aim is to turn a tangle of ecosystem partners into a buying decision a customer can confidently say yes to.
Buyers want AI-agent workflows, but partners cannot yet offer a repeatable path from messy knowledge to a build-ready project.
You have to weigh partner reach against the qualification standard sellers need.
Buyers are rebuilding approved product decisions after every handoff, and bundled suites are becoming the default alternative.
You must weigh a focused partner offer against the proof, approvals, and buyer commitments needed to make it repeatable.
Qualified enterprise opportunities are stalling when buyers cannot connect Marketplace purchasing to rollout support.
You must weigh a fast, focused partner motion against the coverage needed across complex enterprise accounts.