SB Energy

SB Energy

Enterprise AI Enablement Manager

Redwood City, CA · Exec · Full-time

Sponsorship not specified$140k-$190kDetected 12 days ago
LLMsPRDsProcurementContract ManagementCommunicationCollaborationMentoringMicrosoft OfficeSharePointNetSuite

About the role

  • Do you want to work with high caliber professionals in a dynamic and growing company?
  • Are you entrepreneurial, hard-working, and collegial?

Responsibilities

  • Partner with Legal, HR, Finance, Procurement, Operations, and other business teams to discover, prioritize, and document AI enablement opportunities.
  • Translate business needs into process maps, product requirements documents, user stories, acceptance criteria, launch plans, and adoption playbooks.
  • Lead enablement of ChatGPT Enterprise across business functions, including training, office hours, prompt libraries, workflow guides, and function-specific use cases.
  • Help design AI-assisted workflows for legal intake, contract review support, policy Q&A, HR self-service, finance reporting, period-close support, AP workflows, and other enterprise processes.
  • Coordinate with OpenAI and internal technical teams on connectors, API integrations, knowledge retrieval, document access, and workflow automation.
  • Build and maintain success metrics, including adoption, time saved, cycle-time reduction, user satisfaction, and quality of AI-assisted outputs.
  • Develop communication and change-management materials to drive adoption across departments.
  • Maintain a feedback loop with users and stakeholders to refine launched use cases and identify new opportunities.
  • Familiarity with enterprise systems such as NetSuite, Paylocity, Workiva, Vena, contract/document management systems, SharePoint, Outlook, Teams, or similar platforms.
  • Device Purchase Support

Requirements

  • Bachelor's degree in business, information systems, operations, computer science, legal operations, finance operations, HR operations, or a related field.
  • 6+ years of experience in digital transformation, enterprise systems, business operations, product management, AI enablement, or process improvement.

Nice to have

  • Working knowledge of ChatGPT Enterprise, generative AI tools, workflow automation, APIs/connectors, or enterprise copilots preferred.
  • Experience in legal operations, HR technology, finance systems, or enterprise business transformation is a plus.
  • Energy, infrastructure, or data center industry experience is a plus.

Skills

  • Join us at SB Energy, a leading company backed by SoftBank and Ares pairing cutting-edge innovation with best-in-class execution.
  • Come join us in accelerating the energy transition to cleaner, more sustainable sources of power!
  • Title- Enterprise AI Enablement Manager
  • Basic Function

Compensation

  • The pay range mentioned above is a guideline.
  • In addition to competitive base pay, total compensation may include a discretionary annual bonus and a market leading comprehensive health and wellness benefits package.

Benefits

  • In addition to competitive base pay, total compensation may include a discretionary annual bonus and a market leading comprehensive health and wellness benefits package.
  • Our Health & Wellness Benefits
  • At SB Energy, we invest in our people and their families with benefits designed for flexibility, support, and peace of mind.
  • 100% Company-Paid Medical, Dental & Vision (for employees and dependents)
  • Generous Paid Time Off + 11 Paid Holidays
  • 12 Weeks Paid Parental Leave
  • Life, AD&D & Long-Term Disability Coverage
  • Flexible Spending Accounts (FSA) for Medical, Dependent Care, Transit & Parking (with company contributions)
  • Monthly Reimbursement for Phone, Internet & Data
  • Flexible Work Arrangements & Hybrid Office Setup Benefits

Visa & Work Authorization

  • in, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class

This listing is sourced directly from SB Energy's careers page and normalized into a canonical job model.