Twenty years inside B2B and FinTech marketing — now redesigning marketing operating models with AI so teams ship faster, lift output quality, and grow pipeline without growing headcount.
Most AI marketing failures aren't technology problems — they're workflow and accountability problems. We start with how your team actually ships work and where the leverage points are. Tools come after the design.
Cycle-time reduction, MQL quality, content output per FTE, sales enablement coverage. Real numbers your CFO already tracks — not vanity metrics about AI adoption.
I'm an operator, not a vendor. Engagements are designed so your people own the capability when I leave. That's the only way the gains stick.
I've spent my career building product marketing, integrated campaigns, and demand engines for payments, fintech, and enterprise SaaS — most recently as Head of Global Marketing for Confluence's Investment Insights & Data division, and before that as VP of Marketing at Broadridge across wealth management, capital markets, and governance.
Along the way I've architected omnichannel campaigns that delivered 200%+ pipeline growth, led marketing for a $300M acquisition, and built marketing engines from scratch at venture-backed companies. The throughline is the same: translating complex products into messaging that lands and campaigns that convert.
What I'm doing now is pulling those reps forward. Marketing teams are being asked to ship more in the same calendar — without the headcount that used to come with it. AI is the way through, but only if the operating model around it is designed properly. That's the work.
The best engagements start with a 30-minute call. No deck, no pitch — just a real conversation about what you're trying to ship and where you're stuck. If I'm the right fit, we'll talk through it. If I'm not, I'll tell you who is.
valeriehjones@gmail.com