Principal Product Manager - Activation & Deployment, Evisort AI

About the Role

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.

• Pre-Sales Activation Strategy:
  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.

• Demo & POC Innovation:
  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.

• The Voice of the User:
  Act as the primary feedback loop. Translate field experience and client "pain points" into structured insights that directly inform product development and roadmap priorities.

• Narrative & Value Definition:
  Define the technical narrative. 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.

• Credibility: AI agents are represented with confidence and accuracy across all pre-sales engagements and post-sales implementations.

• Impact:
  Evisort/Workday drives meaningful revenue impact through increased attach rates, expansion, net-new wins, and customer retention.

• Adoption:
  Customers don't just buy the AI; they successfully adopt and use it post-sale because it was scoped correctly from day one.

• Influence:
  You are the "calm, credible presence" that helps lawyers and engineers speak the same language.

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-savy—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.

• 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.
• 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.

• 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.
• Customer Empathy & Advocacy
  :
  Deep 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.
• Ambiguity Management
  :
  Proactive and self-directed, with…