Principal Product Lead, AI

🕒 April 13

🌵 Arizona, California, +23 more states – Remote

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💵 $155k - $185k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 14%

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Logo of Casepoint

Casepoint

501 - 1000 employees

Founded 2008

💼 Consulting

⚖️ Legal

📦 Logistics

Consulting • Legal • Logistics

Casepoint is an AI-powered, cloud-based eDiscovery and legal data discovery platform that helps organizations identify, collect, preserve, and analyze legal, regulatory, and compliance-related data at enterprise scale. The platform provides legal hold, FOIA management, secure cloud collections and processing, built-in connectors and open APIs, and AI-driven review and analytics (CaseAssist) to accelerate investigations, litigation, and compliance workflows. Casepoint emphasizes military-grade security and certifications (including FedRAMP and DoD IL levels) to serve government agencies, corporations, and law firms that require defensible, secure data discovery and compliance solutions.

📋 Description

• Define and maintain the AI product roadmap across Casepoint's full product portfolio • Use AI-assisted development tools, LLMs, and vibe coding techniques to prototype solutions • Lead AI feature delivery from discovery through launch • Engage with customers directly to validate AI concepts • Work with Sales and Customer Success to articulate AI capabilities • Act as an AI product authority across the portfolio • Define AI-specific performance metrics and use post-launch data for improvement

🎯 Requirements

• A background shipping AI or ML-powered features in enterprise B2B SaaS products • Working knowledge of modern LLM patterns and tradeoffs (e.g., retrieval-augmented generation, embeddings/vector search, tool/function calling) • Experience building and operating AI features responsibly in regulated environments • Hands-on experience with LLMs, AI coding assistants, and prototyping tools • The ability to explain AI capabilities, their limitations, and how they work in accessible terms • Experience or exposure to legal technology, eDiscovery, or regulated industry software • Strong cross-functional collaboration skills • Experience mentoring and coaching colleagues • Comfort operating in conditions of ambiguity

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Professional development opportunities

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