Principal Product Marketing Manager - Segments

The role

This senior product marketing role sits within Fin's go-to-market team and focuses on how the AI agent is positioned for specific industries and customer segments, with Enterprise as the lead segment. The person turns audience research into ready-to-use materials for sales and demand generation while keeping the broader platform story coherent across buyer groups.

What you would do

• Convert audience cohort research into industry-specific messaging and the supporting materials for priority verticals, such as landing pages, demos, decks, plays, and campaign copy.
• Lead positioning for the Enterprise segment, including the trust-oriented narrative enterprise buyers expect, across sales collateral and web content.
• Work with sales to capture enterprise customer requirements and route them back to product and R&D teams.
• Define audience targeting and co-build campaign journeys with demand generation and integrated marketing, owning the message while those teams run channels and execution.
• Build reusable frameworks that help reps navigate multi-stakeholder deals across industries, segments, and personas without diluting the platform narrative.
• Measure messaging effectiveness through field input, conversion data, and rep confidence, and revise quickly based on results.

What they asked for

• Six or more years in product, solutions, or segment marketing at a B2B SaaS company.
• Track record building industry or vertical messaging and the assets behind it, with the ability to explain what resonated in market and why.
• Hands-on ownership of enterprise or segment marketing, including the security and trust topics enterprise buyers raise.
• History of partnering closely with demand generation to ship campaigns that converted.
• Experience moving quickly when product releases outpace messaging, without sacrificing quality.
• Precise writing that works for both executives and frontline sales reps, with strong editorial judgment and a habit of pushing for specificity.
• Technically fluent: reads documentation, uses the product, and understands AI differentiation across model, application, and infrastructure layers, with a point of view on the AI customer service market.
• Routinely uses AI tools in daily work to move faster and sharpen thinking.