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описание
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.
задачи
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.
требования
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.
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.
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.
