Director, Product Enablement and Content Strategy

Trintech; Town of Texas (WI); On-site; USD 120,000 - 160,000; Full time

Job summary

Trintech is seeking a senior content strategy leader to build the foundational content layer for the product portfolio. The role focuses on modular, machine-readable content with AI at the center of the workflow, forming a single source of truth that powers documentation, training, and self-serve delivery surfaces.

You will lead content architecture, AI-driven content operations, and SME partnerships, shaping adoption and expansion content, and maintaining a machine-readable product knowledge

Responsibilities

• Content Architecture: Own the content model across the portfolio: modular, task-oriented, metadata-tagged, structured text as the foundation.
• AI-Orchestrated Content Operations: Design and build the operating model where AI carries the heavy lifting of content creation and upkeep.
• Subject Matter Partnership: Sit at the intersection of product/process knowledge and user needs; curate SME knowledge into the content base.
• Adoption & Expansion Content: Own content that drives adoption and expansion across paths and product usage data.
• Machine-Readable Product Knowledge Base: Maintain the factual record of product capabilities, configurations and limitations.
• Delivery Surface Ownership: Own customer-facing and internal delivery surfaces ensuring a single, consistent content base.

Job description

Description

Trintech is looking for a senior content strategy leader to build the foundational content layer for the product portfolio: a single base of product and process knowledge that is modular, machine-readable, and maintained continuously with AI at the center of the workflow, not bolted on after the fact. This content base does two jobs for the business at once. It drives customer adoption and expansion of Trintech's products through documentation, training, and self-serve delivery surfaces. And it serves as the factual, machine-readable foundation that powers Trintech's own AI systems. Both outcomes depend on the same underlying asset: a content model built to be accurate, current, and readable by both humans and machines.

What You'll Do

• Content Architecture: Own the content model across the portfolio: modular, task-oriented, metadata-tagged, structured text as the foundation. Text is the architecture; video and other formats are delivery layers built on top of it, not the primary format. Define the structure, templates, and authoring standards the rest of the strategy depends on.
• AI-Orchestrated Content Operations: Design and build the operating model where AI carries the heavy lifting of content creation and upkeep: structured drafts generated from SME interviews, automated staleness and gap detection, AI-assisted editing. Moving the team to that model is the work, with your team functioning as the editorial and quality-gate layer rather than the sole source of every draft. Done right, content gets easier to keep current as the portfolio grows, not harder.
• Subject Matter Partnership: Sit at the intersection of the people who hold Trintech's product and process knowledge and the people who need it. This role doesn't generate most of its own content: it curates what subject matter experts across the business know into the content base, then pushes it back out through the surfaces it owns.
• Adoption & Expansion Content: Own the content that drives both motions: adoption content that gets customers using what they already have, correlated against product usage data and support ticket deflection so investment follows what actually moves usage; and expansion content that surfaces underused capabilities and cross-product opportunities, organized around customer outcomes rather than a per-product menu, so customers discover the adjacent capabilities that drive cross-sell.
• Machine-Readable Product Knowledge Base: Own the factual record of what Trintech's products do: capabilities, configurations, limitations, distinct from the adoption and training content built on top of it. This is the corpus with the lowest tolerance for error. It feeds Trintech's own AI systems directly, so mistakes here propagate into AI output across the business.
• Delivery Surface Ownership: Own the customer-facing delivery surfaces (help center, AI assistant, partner portal) and the internal-facing ones (support, professional services), ensuring the same content base powers all of them without duplicated or diverging copies.