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Sr Product Manager, Agentic AI Platform

Project Management San Francisco, California, United States

Job details

Not specified Salary
San Francisco, California, United States Eligibility
Senior Experience
Not specified Employment

About this role

Role overview

The Senior Product Manager will define the strategy and roadmap for a foundational AI platform that supports intelligent agreement products and experiences. The role focuses on creating shared capabilities for trusted AI assistants, autonomous agents, intelligent workflows, administration, observability, knowledge integration, multi-model infrastructure, and international expansion. It is a highly cross-functional individual contributor position with broad influence across product, engineering, applied AI, design, data science, and leadership teams.

Responsibilities

- Establish the long-term vision, product strategy, roadmap, and priorities for an enterprise AI platform. - Lead shared platform initiatives that allow multiple product groups to adopt AI capabilities while reducing duplicated engineering work. - Translate emerging needs from enterprise customers and internal stakeholders into scalable, reliable platform capabilities. - Shape administrative experiences for AI assistants and autonomous agents, including controls, observability, and knowledge integration. - Drive platform support for global AI expansion and enterprise-ready experiences across international markets. - Influence senior leaders and cross-functional teams through clear product direction, strategic planning, and measurable outcomes.

Requirements

- At least eight years of product management experience. - At least five years working with enterprise SaaS, AI platforms, or document intelligence products. - Bachelor’s or master’s degree in computer science, engineering, or a related technical field; an MBA is preferred. - Experience building enterprise-grade AI experiences and AI agent products. - Experience defining metrics and leading platform products. - Demonstrated ability to collaborate across product, engineering, design, and data teams using qualitative and quantitative feedback.

Nice to have

- Direct experience in AI platform product management. - Familiarity with agreement lifecycle management, legal technology, document platforms, or document management systems. - A record of taking product strategy from initial vision through successful execution.

Benefits and work setup

- Hybrid arrangement with regular office access; the source indicates a minimum expectation of two in-office days per week, subject to team and business needs.

Skills detected in the listing

Stakeholder Management
Detected Sep 20, 2026
Last verified Sep 20, 2026

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