We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most.
About the Team Join the Evisort AI team at Workday, which powers Document Intelligence AI and Workday’s CLM and Contract Intelligence offerings. powering Workday’s CLM and Contract Intelligence Offerings.
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.
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.
Responsibilities: Pre-Sales Activation Strategy: Define the global strategy for activating AI agents.
Demo & POC Innovation: Shape how AI proofs-of-concept are approached.
Clarify AI differentiation and known limitations to ensure our messaging supports a credible, honest, and high-value customer evaluation.
Cross-Functional Partnership: Partner deeply with Solutions Architecture and Enterprise Architecture leadership to evolve our activation approach as our AI maturity grows.
What Success Looks Like: Credibility: AI agents are represented with confidence and accuracy across all pre-sales engagements and post-sales implementations.
Adoption: Customers don't just buy the AI; they successfully adopt and use it post-sale because it was scoped correctly from day one.
About You You come from a world of complex problem-solving, and you’ve never been content with the status quo.
You are 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.
You care deeply about quality but don't get stuck in perfectionism; you get things done and iterate until they are world-class. Basic
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.
Industry Context: A background in law or legal tech, with
experience at a top-tier firm, in-house legal team, or a disruptive legal-tech venture. Other
Qualifications Business Influence & Stakeholder Management : Proven ability to exert significant influence across product teams and executive leadership to drive alignment.
Cross-Team Collaboration: A master of "translating" across disciplines—effectively leading Engineering, Design, and Marketing to deliver complex strategies.
experience in identifying "thorny" operational problems and translating them into impactful product solutions.
Strategic Thinking : The ability to see the "big picture" of the legal business and how emerging technologies will improve existing processes.
Data-Driven Decision Making : Solid skills in using data analysis to derive actionable insights, prioritize roadmaps, and measure the success of AI initiatives.
Experience
Qualifications 8+ years of
Benefits
In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul.
Ambiguity Management : Proactive and self-directed, with the ability to bring structure to complex, fast-moving environments while juggling multiple high-stakes relationships Workday Pay Transparency Statement Workday pay ranges vary based on work location.
As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants.
Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things.
Primary Location: CAN.BC.Vancouver Primary Location Base Pay Range: $135,700 CAD - $203,500 CAD Primary CAN Base Pay Range: $162,800 - $244,200 CAD Our Approach to Flexible Work With Flex Work, we’re combining the best of both worlds: in-person time and remote.
Additional details
Not just in the products we build, but in how we show up for each other.
Our culture is rooted in integrity, empathy, and shared enthusiasm.
We’re in this together, tackling big challenges with bold ideas and genuine care.
We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive.
Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back.
So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.
Our mission is to change the way business deals get done.
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.
About the Role This role isn’t a traditional Product Manager.
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. Key