About the role
Role summary
We are hiring a Product Manager to own a virtual data room’s (VDR), end to end product strategy: roadmap, requirements, release quality and client outcomes.
You will collaborate with stakeholders, client-facing teams; combining their input with market insight, data and your own judgment to set a clear product direction.
What you will do
Strategy and roadmap
* Own the product vision and roadmap, aligned with TechOps and company goals.
* Track the VDR market, competitors and emerging technology (especially AI), and turn insight into prioritized bets.
* Build business cases with cost, revenue and timeline impact, make clear trade-offs, and explain prioritization and scope changes to stakeholders before they ask.
Discovery and requirements
* Run discovery with clients, deal teams, sales and support to understand real workflows and pain points.
* Write features and PBIs in Azure DevOps with clear business rules, scope and testable acceptance criteria.
* Partner with UX design on user-centered solutions for admins, deal managers and external bidders.
Delivery and release
* Work with product, engineering and QA to plan sprints, unblock work and keep releases moving.
* Be the first point of contact for product questions from engineering, QA and UX.
* Own release readiness, UAT and release notes for every release, including hotfixes.
* Triage escalations and client-reported issues, and agree priorities with Support.
Measurement and clients
* Define and track product metrics (adoption, time to set up a room, retention, NPS, incident and defect trends), and use product analytics to judge feature performance and guide prioritization.
* Present to key clients and partners, and support sales on high-value deals.
Requirements
What you bring
* Hands-on virtual data room experience as a product manager, product owner, VDR administrator or heavy deal-side user.
* 3+ years as a Product Manager, Product Owner or similar role on B2B SaaS.
* A track record of writing clear requirements and acceptance criteria that engineering and QA can build and test from.
* Experience running agile delivery with Azure DevOps, Jira, Confluence or similar, including release planning and UAT.
* Working understanding of security and compliance requirements in enterprise software.
* Data-driven decision making, with experience using product analytics to measure what works.
* Strong written and spoken English; you explain technical topics clearly to business stakeholders.
* Bachelor's degree or equivalent experience.
Nice to have
* Background in M&A, investment banking, legal or corporate development.
* Experience shipping AI features such as document classification, search, summarization or automated redaction.
* Experience working in a distributed team across time zones.
* Familiarity with web technologies and APIs.
* Experience with multilingual products or localization.
* Additional languages.