Principal Product Manager - Activation & Deployment, Evisort AI

Workday•Vancouver, BC

26d•Hybrid

About The Position

Join the Evisort AI team at Workday, which powers Document Intelligence AI and Workday’s CLM and Contract Intelligence offerings. Our mission is to change the way business deals get done. We build ground breaking AI technology that can read and understand contract language to make every part of the deal-making process from drafting, negotiating, reviewing, approving, or managing the contracts happen faster, better, with reduced risks. We build AI first products, and automate manual work, freeing up our customers time and accelerating their businesses. You will be joining the Evisort AI team, which functions as a startup within Workday. This is your opportunity to build at the pace of innovation of a startup, while backed by the enormous support and impacting Workday’s incredible customer base of 70M+ users. This role isn’t a traditional Product Manager. It is part high-level Product Strategy, part Solutions Architecture, and part "Client Whisperer." Your mission is to bridge the gap between our cutting-edge AI Workday Contracts Management powered by Evisort, and the real-world customer environment, ensuring our global enterprise customers understand, trust, and adopt our product. As a Principal Product Manager - Evisort AI, you won’t just be building features; you’ll be defining how AI is positioned, demo’ed, and evaluated. You will act as a thought partner to both our internal teams and our enterprise customers, helping them navigate one of the biggest shifts in legal history: evaluating the ROI of AI and mapping its impact across complex practice areas. This is a high-impact, strategic role meant for someone who thrives in the "calm in the storm" and enjoys bringing structure to the ambiguity of emerging tech.

Requirements

8+ years of experience in product management and/or GTM implementation, defining, launching, and iterating on impactful SaaS and/or cloud-based enterprise software products.
Bachelor’s degree in a relevant discipline (Business, Computer Science, Law) or equivalent practical experience.
A background in law or legal tech, with experience at a top-tier firm, in-house legal team, or a disruptive legal-tech venture.
Proven ability to exert significant influence across product teams and executive leadership to drive alignment.
A master of "translating" across disciplines—effectively leading Engineering, Design, and Marketing to deliver complex strategies.
Deep experience in identifying "thorny" operational problems and translating them into impactful product solutions.
The ability to see the "big picture" of the legal business and how emerging technologies will improve existing processes.
Solid skills in using data analysis to derive actionable insights, prioritize roadmaps, and measure the success of AI initiatives.
Proactive and self-directed, with the ability to bring structure to complex, fast-moving environments while juggling multiple high-stakes relationships.

Nice To Haves

Tech-curious and product-savvy—you don’t need to be a coder, but you must be passionate about navigating technical conversations around generative AI and technology implementation.
Care deeply about quality but don't get stuck in perfectionism; you get things done and iterate until they are world-class.

Responsibilities

Define the global strategy for activating AI agents.
Set the bar for what great looks like in a technical evaluation and ensure Product and Sales are perfectly aligned.
Shape how AI proofs-of-concept are approached.
Partner with Solutions Consulting to ensure demos aren’t just "cool," but are credible, repeatable, and tied to real customer questions.
Act as the primary feedback loop.
Translate field experience and client "pain points" into structured insights that directly inform product development and roadmap priorities.
Define the technical narrative.
Clarify AI differentiation and known limitations to ensure our messaging supports a credible, honest, and high-value customer evaluation.
Partner deeply with Solutions Architecture and Enterprise Architecture leadership to evolve our activation approach as our AI maturity grows.