> Markdown version of [/jobs/ext/4622684-senior-product-manager-legal-technology](https://www.wearedevelopers.com/jobs/ext/4622684-senior-product-manager-legal-technology). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Product Manager - Legal Technology - **Company:** The D. E. Shaw Group - **Location:** New York, NY, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Automated Storage and Retrieval Systems, Law Practice Management Software, Document Management Systems, Information Retrieval, Metadata, Search Technologies - **Published:** November 7, 2026 - **Apply:** https://www.juju.com/job/28_25303_8be24d1f432e1993c8aa5772997f7c4f ## About the Role * A bachelor's degree or higher and five to ten years of relevant product management experience. * Experience working on platform, infrastructure, data, search, content management, or document-centric products is strongly preferred. * Familiarity with storage systems, information architecture, metadata modeling, retrieval systems, or related technical areas is a plus. * Experience partnering closely with software developers on technically complex products. * Exposure to AI-enabled product capabilities, including semantic search, knowledge retrieval, or document processing pipelines, is helpful but not required. * Excellent written and verbal communication skills, sound judgment, and the ability to solve open-ended problems. ## Description * Define and drive the infrastructure product roadmap for Legal Technology, with a focus on document storage, metadata architecture, and scalable information access across the department. * Partner with legal, product, and engineering clients to identify pain points, clarify priorities, and translate business needs into infrastructure requirements. * Design infrastructure that supports the retrieval patterns attorneys require-semantic search, deterministic clause retrieval, and relational metadata-and work closely with AI engineers to evaluate where each approach is best suited. * Drive initiatives through the full product lifecycle, from discovery and prioritization through launch and iteration. * Bring structure to complex, cross-functional efforts by defining scope, dependencies, and success metrics.