Technical Product Lead - AI Platform

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Technical Product Lead - AI Platform based in United States. This is a senior, hands-on product leadership opportunity at the intersection of patent intelligence, enterprise software, and generative AI. You will own the full product lifecycle of an AI-powered platform serving sophisticated legal and intellectual property teams. The role combines product strategy with deep involvement in LLM workflow design, evaluation, quality, and delivery. You will translate complex patent-domain requirements into scalable AI workflows that engineers can implement and clients can trust. A major focus will be ensuring accuracy, reducing hallucinations, and establishing rigorous evaluation standards for legal AI outputs. You will work directly with engineering teams, attorneys, enterprise clients, and senior stakeholders in a highly autonomous environment. The position is fully remote in the U.S. and offers substantial ownership over product direction, technical decisions, and innovation. Own the product strategy, roadmap, prioritization, and quarterly objectives for an AI-powered patent intelligence platform, balancing client value, competitive opportunities, engineering feasibility, and available resources. Identify underserved customer segments and develop product opportunities that expand the platform's reach across law firms, corporate IP teams, and other professional users. Define API-first and integration strategies and coordinate product dependencies across full-stack, platform, security, and other technical teams. Design LLM workflows by developing system prompts, tool definitions, structured output specifications, and multi-step agent architectures for complex patent-analysis use cases. Establish evaluation frameworks and rubrics for AI workflows, maintain versioned prompt libraries, and continuously improve outputs using evaluation data, expert feedback, and hallucination analysis. Act as the final quality gate for AI-generated patent intelligence, ensuring outputs meet the professional accuracy standards expected by sophisticated legal and corporate IP users. Build and maintain gold-standard evaluation datasets based on attorney-reviewed ground truth and use them to benchmark and improve AI workflows. Investigate and escalate legal accuracy risks, including fabricated citations, incorrect claim interpretation, scope inflation, and jurisdictional inconsistencies. Work directly with clients and legal professionals to gather feedback, demonstrate new capabilities, manage expectations, and translate real-world needs into product and engineering requirements. Lead an async-first, outcome-oriented delivery model focused on shipping high-value capabilities efficiently, while using automation and AI-generated reporting to reduce unnecessary process overhead. Make technical tradeoff decisions involving accuracy, latency, cost, context windows, caching, model selection, and data freshness. Manage relevant budgets, vendors, AI providers, data providers, and product tooling while maintaining disciplined technical and operational practices. Requirements 3–10 years of combined experience across patent-domain work and B2B SaaS product management, with a preference for 5+ years in B2B SaaS product management and at least 2 years in a domain with significant legal or regulatory accuracy requirements. USPTO-registered patent agent status or a JD with substantial patent prosecution or litigation experience. At least 3 years of hands-on experience with claim charts, invalidity contentions, freedom-to-operate analyses, office action responses, or comparable patent-analysis work. Strong knowledge of patent concepts including claim construction, infringement and invalidity analysis, prior art under §§102/103, prosecution history, §112 issues, portfolio strategy, and related IP workflows. Familiarity with patent analytics and r