Wilson Sonsini is the premier legal advisor to technology, life sciences, and other growth enterprises worldwide. We represent companies at every stage of development, from entrepreneurial start-ups to multibillion-dollar global corporations, as well as the venture firms, private equity firms, and investment banks that finance and advise them. The firm has approximately 1,100 attorneys in 17 offices: 13 in the U.S., two in China, and two in Europe. Our broad spectrum of practices and entrepreneurial spirit allow exceptional opportunities for professional achievement and career growth.

The AI Systems Manager (ASM) will help lead the firm’s enterprise artificial intelligence platform function, with direct responsibility for the administration, adoption and governance of the firm’s AI systems at enterprise scale. The ASM oversees the full range of firm-wide AI tools, including chat-based, agentic and developer-facing products, and is accountable for ensuring these platforms remain secure, well-governed, cost-effective and broadly adopted throughout the enterprise.

The ASM has deep experience managing enterprise software platforms at scale and leading technical, analytical and support professionals through the full lifecycle of platform administration, from provisioning and licensing to usage monitoring, spend management and end-user support. The ASM will lead the AI Systems team, comprised of analytics, intake and user support functions, to ensure the firm’s AI investment translates into measurable adoption, productivity and business value. This leadership role is self-directed, people-oriented and comfortable supporting the AI and technology needs of the organization, clients, attorneys, practice groups and administrative teams.

The ASM will work closely with IT Operations, Security, Risk, Change Management, Program Management, Project Management, Applications, Data Operations, Data Science and Innovation teams to enforce AI-related policies, procedures and controls, ensuring that platform growth and adoption remain aligned with the firm’s governance, security and risk-management obligations.

Essential Duties and Responsibilities:

AI Platform Administration & Enterprise Management

Administer and maintain the firm’s enterprise AI platforms, ensuring reliable, secure and scalable access at enterprise scale, firm-wide.
Manage user provisioning, licensing, roles and permissions across all AI platform surfaces, including chat-based, agentic and developer-facing tools.
Own the platform roadmap for enterprise AI tools, coordinating upgrades, feature rollouts, integrations and configuration changes with minimal disruption to end users.
Serve as an IT point of contact and account owner for AI platform vendors, managing vendor relationships, contract renewals, support escalations and service-level commitments.
Triage technical and support issues related to AI platform access, performance and functionality, working with vendor support teams and internal IT groups to troubleshoot, resolve and document issue resolution.

User Enablement, Training & Adoption

Enable and support the Program Management and Project Management teams with onboarding, training and adoption programs tailored to the firm’s distinct AI user populations, including business professionals, cross-functional teams and developers and engineers using the firm’s AI platforms.
Create and maintain documentation, playbooks and best-practice guidance to further the firm’s AI systems and platforms.
Partner with practice groups, administrative departments and firm leadership to identify high-value AI use cases and drive adoption of the firm’s AI platforms across the enterprise.
Establish feedback channels and user-support processes to continuously improve the AI user experience and address emerging needs.

Spend, Usage & Analytics Management

Own and manage the AI platform budget, tracking licensing costs and usage-based spend, and report on budget performance, variances and forecasts to IT and firm leadership.
Develop and maintain usage analytics and reporting dashboards that provide visibility into adoption, utilization, cost-per-user and return on investment across all AI platforms and user groups.
Analyze usage trends to identify underutilized licenses, optimization opportunities and areas for expanded investment, and make data-driven recommendations on platform scaling.
Partner with the budget teams and firm leadership to develop cost-allocation models and support annual budgeting and forecasting for the firm’s AI technology investments.

Governance, Policy & Cross-Functional Compliance

Work closely with IT Security and Risk teams to enforce AI usage policies, data-hand

AI Systems Manager at Wilson Sonsini Goodrich & Rosati