Group Product Manager, Workday
Evisort AI
CA$137.4-206k
Colorado pay range for this job is $156,000 - $234,000 USD
More information about location
Enterprise AI platform for managing HR and finance
Be an early applicant
Enterprise AI platform for managing HR and finance
1001+ employees
Be an early applicant
CA$137.4-206k
Colorado pay range for this job is $156,000 - $234,000 USD
More information about location
1001+ employees
Company mission
To leverage the power of AI to elevate humans and supercharge work, moving business forever forward.
Role
Who you are
- 10+ years of experience in Product Management
- Deep domain expertise in generative AI, including a proven track record of assessing market opportunities and defining product strategies specifically for generative AI-powered solutions
- Extensive experience building and launching generative AI products, including proficiency with LLMs and other generative models
- 2+ years of people leadership, management or mentorship
- Experience defining and tracking key metrics for generative AI products, demonstrating a clear understanding of their business impact and value proposition
- Experience as a former startup founder with a proven track record of bringing “0 to 1” features to market is an asset
- Demonstrated domain knowledge in law, contract management, management consulting, or a degree in law is a bonus
- Knowledgeable about legal contracts and particularly clause types and key data points, or able to quickly get up to speed on clause types and different contract data points
- Ability to engage on technical decisions - technical background a plus
- Familiarity with Large Language Models (LLMs), machine learning frameworks, and tools relevant to legal applications
What the job involves
- 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. Our mission is to change the way business deals get done
- You will orchestrate the vision, strategy, and roadmap execution within our suite of Contract Intelligence & Analytics features
- Your leadership will be critical in realizing our innovative vision to deliver best-in class-AI at scale, to transform how major companies optimize and streamline key business processes related to negotiating and handling their contracts
- Applying your expertise your role will be instrumental in advancing our initiatives and delivering outstanding value to business professionals world-wide
- 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
- Conduct market research to find opportunities and challenges unique to the targeted industry
Application process
- End Date: March 16, 2026
Our take
Workday is a cloud-based software vendor that provides management of workforces and finances. The company uses a single database for workforce management and financial management to offer integration and optimize business intelligence across companies. It has added to the packages and tools it offers over the years, providing analytic options that allow companies to combine third-party data with information collected by Workday.
The company has also grown through acquisitions and partnerships to broaden its capabilities.. Most recently, in 2025 it purchases Sana, an AI-driven enterprise knowledge and learning platform, to create a "new front door for work". This acquisition allows Workday to integrate Sana's AI-powered search, agents, and learning capabilities with its own data and workflows, allowing employees to access information, automate tasks, and complete their day entirely within Workday.
Through a combination of strategic acquisitions and in-house development, WOrkday has built a comprehensive suite of HR, financial, and enterprise tools. By focusing on innovation and AI-driven workflows, the company continues to push productivity and decision-making for organizations worldwide. Building on this track record, Workday is very much positioned for even more growth, reinforcing its status as a leader in shaping the future of work.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
16% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Oct 2011
$85m
SERIES F
Apr 2009
$75m
SERIES E
Total funding: $215.3m
Company HQ
Pleasanton, CA
Leadership
Aneel Bhusri
(Co-Founder & Executive Chair)Annel began his career at Morgan Stanley as a Corporate Finance Analyst. He then spent nearly 6 years at PeopleSoft as a Senior VP before co-founding Workday in 2005, where he has served as the CEO ever since.
Carl Eschenbach
(CEO)Carl joined Workday in 2022 as Co-CEO, becoming CEO in 2024. He has also been a Partner at Sequoia Capital since 2016. Previously, he spent 14 years at VMware as President and COO and 3 years at Inktomi Corporation as the VP of North America Sales.
Peter Bailis
(CTO)Prior to joining Workday in 2025, People was a VP of Engineering at Google. He also previously founded Sisu Data, where he served as the CEO for over 5 years.
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