Senior Product Marketing Director - Finance Solutions

Responsibilities

• Lead go-to-market strategy and launch planning for source-to-pay (invoice processing, procurement, and supplier communications) and order-to-cash (collections and cash application), working with the field marketing and sales teams that bring it to market.
• Define positioning and messaging for the full CFO buying center, from AP, AR, and procurement leaders to controllers and the CFO, presenting UiPath as the layer that orchestrates work across their existing systems rather than replacing them.
• Build the sales story and the tools to tell it: pitch decks, battlecards, ROI calculators, demo narratives, objection handling, and sales training.
• Recruit customer advocates and turn their results into proof points tied to finance KPIs such as DSO, cost per invoice, and on-contract spend.
• Run buyer research, including personas, buying journeys, and win/loss analysis, and share what you learn with product management to shape the roadmap.
• Develop the messaging, content, and audience insight behind campaigns across demand generation, field, and partner channels, and support analyst relations.

Requirements

• 10+ years in B2B marketing, consulting, or product development, ideally including SaaS product marketing for finance, procurement, or order-to-cash software.
• Deep knowledge of source-to-pay and order-to-cash processes and the finance leaders who own them. Experience in finance operations, shared services, or finance advisory is a strong plus.
• Working knowledge of enterprise SaaS, GenAI, agentic AI, and automation, including how they integrate with ERP and other systems of record, and the ability to explain them in terms of business outcomes.
• A track record of successful launches built on sharp positioning, messaging, and sales collateral.
• Clear, persuasive communication with every audience, from AP specialists to the CFO, in writing, in meetings, and on stage.
• Experience partnering closely with marketing, sales, partners, product management, and engineering.
• Hands-on use of AI tools in your day-to-day work, such as research, content development, and analysis, is a plus.
• A degree in business, finance, accounting, engineering, or a related field, or equivalent experience.