Product Manager, Documentation Systems

About Versapay 🚀 Versapay turns accounts receivable (AR) into a competitive advantage. Inefficient AR processes slow cash flow and stall growth. Versapay removes friction, unlocks working capital, and accelerates momentum — giving finance leaders the clarity and control they need to drive business forward. Versapay automates accounts receivable, removing barriers to collecting and reconciling B2B payments. Our solutions connect finance teams, customers, and business systems in one ecosystem to ensure cash flow clarity. With over 10,000 customers and 5M+ companies transacting on the platform, Versapay processes over 110M transactions and $257B annually. Think you might be the next Veep to join? Read on!! How you’ll make an impact here – and on your career: Product management at Versapay is a craft that blends strategic thinking, customer empathy, and strong execution. As Product Manager, Documentation Systems, you will own our documentation as a product: the in-product Help our customers rely on, the implementation and support knowledge our internal teams run on, and the systems that produce both. This is a build role. Our AI tooling can draft a help article. It cannot tell us whether that article is true, decide whether it should exist, or get an engineer to explain what shipped. You will own the pipeline that produces our documentation, the standards it runs on, and the judgment calls it cannot make. You will sit on the Product Management team as a peer to the product managers who own our platform and our embedded ERP applications. You will have modern LLM tooling, fully sanctioned and connected to our internal systems, and a mandate to build on it. What you’ll do: Own the Documentation Surface Own our full documentation surface: in-product Help, implementation guides, support runbooks, and release notes across our platform and our embedded applications. Decide what gets documented, what gets rewritten, and what gets retired. Build an information architecture prioritized by what customers search for and get stuck on, rather than by what shipped most recently. Define and own the metrics: documentation shipped with the release, page freshness, Help searches returning no results, and support volume on topics we believed were covered. Build the Documentation Pipeline Design and build an AI-assisted pipeline that drafts documentation from our real sources of truth: tickets, pull requests, release artifacts, and recorded demos. Build the evaluation process that catches the pipeline producing convincing but incorrect content before a customer does. Automate change detection, terminology and style enforcement, screenshot capture, and publishing. Own the toolchain. We author in MadCap Flare today and publish into a repo that our product loads. You will decide what to keep, what to automate around, and what to change. Improve How We Capture Product Knowledge Our tickets today describe what we set out to build, not what we shipped, so documenting a feature currently means reverse engineering it. Change that. Partner with Product and Engineering to establish a definition of done that captures how a feature works: navigation, permissions, configuration, error states, and impact on existing users. Build the terminology and style standards that let both people and models write consistently across four ERP surfaces where the same concept carries four different names. Keep Documentation True ERPs change their interfaces on their own schedule, and our documentation goes stale when they do. Design the detection and revalidation process and own the SLA on it. Learn our products by using them, working out how they behave rather than reading specifications describing how they were intended to. Write the small share of content that requires a person: migration guides, error taxonomies, and integration behaviour, where being wrong costs a customer their month-end close. What you’ll bring to the team: Required Qualifications 5+ years owning an outcome rather than a queue: product management, implementation or solutions consulting, technical program management, support engineering, developer experience, or technical enablement. Demonstrated experience automating your own work. You are comfortable in Git, on a command line, and in a codebase you did not write. You do not need to be a software engineer, but you do need to build. Practical experience shipping something real with an LLM, including how you evaluated its output and caught it being wrong. Direct exposure to customers in difficulty, through implementation, support escalation, solution consulting, professional services, or training. You understand why documentation can be technically correct and still fail the reader. Ability to learn a complex product without a specification, and to remember what confused you while learning it. Proven ability to influence product managers and engineers you do not manage. Comfort saying no. This is one person against a large surface, and prioritization is most of the job. What Will Make You Stand Out (Nice to Have) It would be beneficial to have worked with MadCap Flare before, as it is what we author in today. Deep familiarity with at least one complex enterprise system is preferred, such as an ERP or accounting platform, and an appetite to learn more. Experience with docs-as-code or CI-driven publishing. B2B fintech, payments, or accounts receivable exposure. You have built an internal tool that other people came to depend on. $60 - $70 an hour #LI-Remote We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.