Principal Product Lead, eDiscovery

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🗣️🇺🇸🇬🇧 Englisch erforderlich

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Logo of Casepoint

Casepoint

501 - 1000 Mitarbeiter

Gegründet 2008

☁️ SaaS

🏛️ Regierung

📋 Compliance

SaaS • Government • Compliance

Casepoint ist eine KI-gestützte, cloudbasierte eDiscovery- und juristische Datenentdeckungsplattform, die Organisationen hilft, juristische, regulatorische und compliancebezogene Daten unternehmensweit zu identifizieren, zu sammeln, zu bewahren und zu analysieren. Die Plattform bietet Funktionen wie Legal Hold, FOIA-Management, sichere Cloud-Sammlungen und -Verarbeitung, integrierte Connectoren und offene APIs sowie KI-gesteuerte Überprüfung und Analytik (CaseAssist), um Ermittlungen, Rechtsstreitigkeiten und Compliance-Workflows zu beschleunigen. Casepoint legt großen Wert auf Sicherheitsstandards in Militärqualität und Zertifizierungen (einschließlich FedRAMP und DoD IL Levels), um Regierungsbehörden, Unternehmen und Anwaltskanzleien zu bedienen, die sichere Datenentdeckungs- und Compliance-Lösungen benötigen, die rechtlich einwandfrei und sicher sind.

Beschreibung

• Own the eDiscovery product roadmap across the full EDRM lifecycle, making crisp sequencing decisions and communicating tradeoffs clearly as new data emerges. • Stay close to customers (law firms, corporate legal, and government) to map real workflows and validate direction early, before major investment. • Move fast from idea to artifact: use AI-assisted development tools and rapid prototyping techniques (including vibe coding) to create working demos that accelerate learning, alignment, and decision-making. • Lead lean, cross-functional product squads (Engineering, Design, QA) to ship high-quality releases with momentum, with clear outcomes, measurable success criteria, and strong day-to-day execution. • Partner tightly with Sales and Customer Success to sharpen positioning, support critical pre-sales moments, unblock escalations, and turn market feedback into practical product actions. • Define success metrics, instrument learning, and run the post-launch loop, measure impact, diagnose gaps, and refine the product based on evidence. • Evaluate build, buy, and partner options across the legal tech ecosystem, making pragmatic recommendations and taking bold bets when they materially improve customer outcomes and durable differentiation.

🎯 Anforderungen

• Demonstrated experience in eDiscovery, legal technology, or a closely related domain, with a strong working knowledge of EDRM workflows and the needs of legal and compliance users. • A track record of delivering enterprise B2B SaaS products with engineering teams, translating ambiguity into clear requirements, defining acceptance criteria, and driving work through release. • A builder mindset: you take initiative, move with urgency, and find pragmatic paths forward without waiting for perfect conditions. • Comfort using AI tools, vibe coding environments, and low-code platforms to build working prototypes and demos that accelerate alignment and decisions. • High energy and a positive, solutions-oriented attitude, bringing momentum to cross-functional teams and raising the bar for execution. • Clear, concise communicator who can synthesize product concepts and learnings for customers, leadership, and cross-functional partners. • Impact-driven and analytical: you test bold ideas, measure results, and focus effort on what materially improves customer outcomes. • Sound judgment in prioritization, with a consistent ability to make and defend sequencing decisions based on evidence rather than pressure or opinion. • Highly coachable: you seek feedback early and adjust quickly. • Experience working across Sales, Customer Success, and Engineering to align teams on shared goals and translate market and customer signals into actionable product decisions. • A collaborative, accountable approach to cross-functional work, with a focus on outcomes rather than activity and a habit of following through on commitments. • Comfort operating in ambiguity, making reasonable decisions with incomplete information, learning fast, and adjusting course as technology, market dynamics, and customer expectations evolve.

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