
Job Overview
Location
Remote - North America
Job Type
Full-time
Category
Marketing
Date Posted
April 24, 2026
Full Job Description
đź“‹ Description
- • As a Demand Generation Manager at DeepJudge, you will own and scale pipeline creation across channels and campaigns, directly contributing to revenue growth by translating marketing and product initiatives into measurable pipeline impact for a fast-growing AI-powered legal tech company.
- • You will drive end-to-end demand generation efforts, including planning and executing integrated campaigns across ABM, events, webinars, content, and partner programs, while optimizing full-funnel performance from acquisition to conversion using data-driven experimentation and CRO.
- • DeepJudge is a Switzerland-headquartered AI company founded by former Google search engineers with PhDs from ETH Zurich, trusted by top global law firms to unlock institutional knowledge through enterprise search and AI infrastructure, with recent $42.2M Series A funding and strong momentum in North America and Europe.
- • In this role, you will develop expertise in B2B SaaS demand generation at scale, build repeatable campaign frameworks, gain deep visibility into funnel performance, and align closely with sales, product, and content teams to drive measurable pipeline and revenue outcomes.
Skills & Technologies
About Deepjudge Inc.
Deepjudge Inc. is an artificial intelligence company specializing in legal technology. They offer a platform designed to assist legal professionals by automating time-consuming tasks and enhancing legal research. Their AI-powered solutions analyze legal documents, predict case outcomes, and identify relevant legal precedents, enabling lawyers to work more efficiently and effectively. Deepjudge aims to democratize access to advanced legal analytics, making sophisticated AI tools accessible to a wider range of legal practitioners. The company focuses on improving decision-making, reducing costs, and ultimately transforming the practice of law through intelligent automation and data-driven insights.
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