Principal Product Manager , Legal

Workday•Pleasanton, CA

2d•Hybrid

About The Position

Workday is seeking a Principal Product Manager for Legal Business Technology. This role is pivotal in defining and driving the AI-first strategy for the legal application ecosystem. The objective is to understand the unique needs of legal and compliance stakeholders and deliver innovative solutions that drive impactful business outcomes. The team believes the future of the legal function is intelligent and autonomous, fostering empowered, diverse teams with the freedom to experiment, celebrate learning, and drive AI-powered innovation. The Product Manager will be part of Business Technology under Product & Technology, responsible for defining the product roadmap and designing digital and agentic legal experiences leveraging AI, agentic and core technologies.

Requirements

12+ years of experience in product management, with a significant focus on shipping enterprise-level, technology-powered products in a B2B or SaaS environment.
Deep domain expertise in core legal operations processes (such as contract lifecycle management, matter management, compliance, e-discovery, and intellectual property) with best practices and a vision for how AI can fundamentally transform them.
Define and manage the legal operations and compliance roadmap through strategic collaboration with business stakeholders and Product & Technology (P&T) teams.
Mastery in leading cross-team collaboration, effectively working with and influencing P&T, and partnering across all Business Technology towers (e.g., Finance BT, HR BT, Sales/Marketing BT, IT/Infrastructure, Data & Analytics) — not just legal-adjacent teams — to align on shared platform standards, avoid duplicative solutions, and drive complex, cross-functional product strategies and initiatives.
Demonstrated executive presence and the confidence to respectfully challenge senior executives and legal leadership in high-stakes settings, defending product decisions with data and sound reasoning rather than simply deferring to seniority.
Consistent record of successfully integrating legal and contract management systems (preferably Workday) with other enterprise applications and data platforms.

Nice To Haves

Familiarity with AI technology stack along with other technology market players supporting legal business, CLM or Legal-related certification(s) are a plus.

Responsibilities

Architect and champion a long-term product roadmap for our Legal Business ecosystem, centered on AI and Machine Learning.
Lead the end-to-end product lifecycle for initiatives in legal operations, from ideation and business case development to defining requirements and measuring ROI.
Lead, mentor, and grow a high-performing team of product managers.
Foster an AI-centric approach, encouraging continuous learning, rapid experimentation, and a deep understanding of how to responsibly build and deploy intelligent systems.
Serve as the lead advisor to legal and business leadership on the art of the possible with AI in the legal function.
Bring the executive presence and conviction to constructively challenge, negotiate with, and when necessary push back on senior executives (including General Counsel, CLO, and C-suite stakeholders) when product trade-offs, timelines, or scope are at odds with sound strategy.
Translate sophisticated legal and compliance challenges into solvable problems and articulate a clear vision that secures consensus and drives cross-functional alignment.
Partner closely with Workday's product teams to influence the future legal product roadmap.
Proactively lead release cycles to not only adopt new features but to be a leading voice in their creation and application.
Evaluate and lead a portfolio of legal technology partners and vendors (e.g., contract lifecycle management, e-discovery, IP management), ensuring our ecosystem is composed of best-in-class solutions that align with our strategic goals.
Build strong working relationships across all Business Technology towers to ensure the legal platform strategy is coherent with enterprise-wide technology standards, data models, and roadmaps — proactively surfacing dependencies and shared opportunities rather than operating in a legal silo.