Principal, Product Manager

Workday•San Francisco, CA

1d•$167,200 - $294,000•Hybrid

About The Position

Workday is seeking a Principal, Product Manager to join the Evisort AI team, which powers Document Intelligence AI and Workday’s CLM and Contract Intelligence offerings. The mission is to change the way business deals get done by building groundbreaking AI technology that can read and understand contract language to make every part of the deal-making process faster, better, and with reduced risks. This role involves orchestrating the vision, strategy, and roadmap execution within the suite of Contract Intelligence & Analytics features, delivering best-in-class AI at scale to transform how major companies optimize and streamline key business processes related to negotiating and handling their contracts. The role requires creating and implementing a comprehensive product vision and strategy, establishing strong relationships with various teams, partnering with data science to develop new AI models, and collaborating with domain experts and technology teams. Responsibilities include ideation, design, and implementation of new AI products and features, defining product requirements, and articulating monetization strategies. The role also requires staying informed about advancements in AI, machine learning, and the legal tech landscape.

Requirements

12+ years experience in product management, envisioning, defining, and delivering impactful SaaS and/or cloud-based enterprise software products at scale.
Bachelor’s degree in a relevant discipline such as Business, Computer Science, or a related discipline; a Master's degree preferred or equivalent practical experience.
Drives strategic alignment and buy-in across the organization and with external partners on major product initiatives, from shaping market perception to forging key partnerships.
Leads and influences Engineering, Design, Marketing, and executive stakeholders to define and deliver complex, cross-functional product strategies.
Champions a customer-obsessed culture by anticipating customer needs and embedding them into product strategy, defining CX principles and shaping product vision around unmet needs.
Identifies root-cause customer pain points and translates them into transformative product strategies and innovative experiences through deep qualitative and behavioral analysis.
Applies advanced analytics and experimentation frameworks to surface insights that shape strategy, guide organizational prioritization, and define long-term KPIs.
Balances user needs, business goals, and technical feasibility using structured decision frameworks (e.g., RICE, weighted scoring), communicating rationale with clear organizational impact.
Maintains deep expertise in market trends, competitive landscape, user behavior, emerging technology, and regulatory dynamics relevant to the industry.
Defines research strategy to uncover disruptive opportunities and deep user insight, leveraging advanced qualitative, quantitative, and generative research methods.
Communicates with, influences, and manages expectations across executive leadership and external strategic partners.
Shapes long-term vision for a product portfolio or business unit, identifying disruptive opportunities through new market strategies and strategic partnerships.

Nice To Haves

Master's degree preferred or equivalent practical experience.

Responsibilities

Create and implement a comprehensive product vision and strategy for the portfolio tailored to the business needs of a diverse set of enterprise customers
Establish strong and positive relationships with engineering, data science, product management, design and product marketing teams to implement the vision, strategy and roadmap
Partner with the Evisort data science team as they develop new artificial intelligence models, using domain knowledge to influence product decisions
Collaborate closely with a diverse set of people including domain experts, technology teams, and external collaborators to align on specific needs of customers
Be responsible for the ideation, design, and implementation of new AI products and features, incorporating generative and predictive AI technologies to address the various challenges at major companies
Define product requirements based on industry trends, compliance standards, and customer feedback
Clear articulation of various monetization strategies to increase revenue, coupled with tactical execution within Evisort’s Contract Intelligence portfolio to achieve these business goals
Stay informed about advancements in generative and predictive AI, machine learning, and the broader legal tech landscape