Product Manager - London

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.

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.

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