okta
Sr. Training and Knowledge Management Manager (Legal team)
At a Glance
- Location
- Bellevue, Washington; Chicago, Illinois; New York, New York; Washington, DC
- Work Regime
- remote
- Experience
- 10+ years
- Posted
- 2026-06-29T14:17:18-04:00
Key Requirements
Required Skills
Domain Knowledge
- Automation
- Insurance
- Legal
Benefits & Perks
health, dental and vision insurance, 401(k), flexible spending account, and
Requirements
You should have a proven track record of managing complex, cross-functional projects and a deep understanding of how a successful training and knowledge management program, designed for how modern AI tools process and serve up information, can directly impact a company's bottom line.
Demonstrated working knowledge of core legal concepts and terminology to drive content creation and ensure content accuracy and relevance.
Demonstrated expertise in building, designing, and deploying engaging content, including wikis, e-learning courses, training curricula, and professional presentations.
Experience optimizing content for use by a variety of systems, including AI models and search engines.
Proven ability to work cross-functionally across a global enterprise.
Demonstrated ability to influence senior stakeholders, drive consensus, and lead complex change management initiatives.
Responsibilities
Partner across the organization (Sales Enablement, Okta University, and Learning & Development) to establish a unified, best-in-class approach for company-wide legal training topics.
Design, host, and produce engaging on-demand content and live training sessions for the Legal team and company-wide, including designing a scalable onboarding program for new Legal team hires.
Legal Content Creation:
Leverage broad legal knowledge and experience to actively create and build high-quality, relevant legal team content, ensuring it is both substantively sound and easy to consume.
AI Content Optimization:
Strategically build and optimize legal knowledge content for seamless ingestion by AI systems, ensuring the information is structured to effectively train, govern, and power internal AI models and bots for various use cases.