Role Description Wilson Sonsini is looking to join the firm's Innovation team. The AI Enablement Specialist plays a key role in advancing legal service delivery through the evaluation and implementation of AI technology and process improvements across legal practice areas. This position collaborates closely with practice group leadership, attorneys, paralegals, and other professionals, technology teams, and external vendors and partners to enhance workflows and improve efficiency. This role requires the ability to translate practitioner needs into practical, technology-enabled solutions. Legal practice experience is preferred. This position is available as a full virtual opportunity. Essential Duties and Responsibilities: - Contribute to the development of AI-enabled solutions, automated workflows, data-driven tools, and support internal operations and legal work. - Support the development and execution of innovation strategies aligned with the needs of legal practice areas. Collaborate with practice groups to assess technology needs and develop tailored innovation strategies. - Leverage experience to drive the evaluation of emerging technologies (legal and non-legal) and provide actionable recommendations on their applicability to attorneys and practice areas. - Lead pilot programs, proof-of-concept initiatives, and testing efforts to assess usability, effectiveness, and impact of new tools. - Coordinate the rollout and adoption of technology solutions, ensuring integration into existing workflows with minimal disruption. - Partner with cross-functional teams to align innovation efforts with broader organizational priorities. - Support change management efforts, including developing and delivering training and communications to encourage adoption of new tools and processes. - Identify and implement process improvements to enhance efficiency, reduce friction, and improve service delivery. - Assist in preparing presentations, reports, and training materials to communicate Innovation department initiatives and outcomes to stakeholders. Qualifications - Law firm experience or legal background preferred. - 3+ years of experience with AI and training technology tools. - Bachelor’s degree preferred. - Demonstrated experience working with technology solutions (e.g., document automation, matter management systems, AI-enabled tools, or workflow platforms). - Strong communication skills, including the ability to translate complex technical concepts into practical guidance for legal professionals. - Proven ability to collaborate across functions and influence adoption of new tools and processes among legal stakeholders. - Experience managing projects or initiatives with multiple stakeholders, including the ability to prioritize and execute in a fast-paced environment. Requirements - The primary location for this job posting is in Palo Alto, but other locations may be listed. - The actual base pay offered will depend upon a variety of factors, including but not limited to the selected candidate’s qualifications, years of relevant experience, level of education, professional certifications and licenses, and work location. - The anticipated pay range for this position is as follows: $150,000 - $200,000 per year. - The compensation for this position may include a discretionary year-end merit bonus based on performance. Benefits - We offer a highly competitive salary and benefits package. Company Description Wilson Sonsini is the premier legal advisor to technology, life sciences, and other growth enterprises worldwide. We represent companies at every stage of development, from entrepreneurial start-ups to multibillion-dollar global corporations, as well as the venture firms, private equity firms, and investment banks that finance and advise them. The firm has approximately 1,100 attorneys in 17 offices: 13 in the U.S., two in China, and two in Europe. Our broad spectrum of practices and entrepreneurial spirit allow exceptional opportunities for professional achievement and career growth.

Role Description At Frontline Education, our team members shape the experience of the people who create products and services for educators nationwide. As an AI Ops Engineer, you will help build and scale a high impact AI engineering capability within our SaaS Engineering organization. Working alongside the AI / Cloud Operations Lead, you will design, build, and deliver AI powered engineering solutions that improve cloud operations, automation, release engineering, and developer productivity while helping shape the future direction of our AI engineering practice. This is a highly autonomous role where you will help define solutions, solve complex engineering challenges, and contribute to a rapidly evolving portfolio of AI and cloud initiatives. You will leverage AI coding assistants such as Claude Code or Codex as a standard part of your development workflow while maintaining accountability for the quality, security, and reliability of everything you deliver. How you'll drive success - Design, build, test, deploy, and continuously improve AI and cloud operations solutions from concept through production. - Contribute across the full software development lifecycle, including planning, development, testing, deployment, documentation, and ongoing support. - Participate in Agile ceremonies including sprint planning, daily standups, retrospectives, and sprint reviews. - Develop high quality, maintainable code while providing thoughtful peer code reviews. - Leverage AI coding assistants to accelerate software development while ensuring every change is thoroughly reviewed and validated. - Build solutions that prioritize governance, auditability, and least privilege security principles. - Evaluate security, operational, cost, and cross system impacts before implementing changes. - Clearly communicate technical concepts and tradeoffs to both technical and nontechnical stakeholders. - Help improve engineering practices, documentation, and technical standards across the team. - Contribute to the team's long term growth and evolution as AI capabilities continue to expand. Qualifications - Five or more years of professional software engineering experience developing production quality applications. - Demonstrated experience using AI coding assistants as part of a modern software development workflow. - Strong cybersecurity mindset with an emphasis on least privilege access, secure development, and data protection. - Experience collaborating within Agile software development teams. - Strong proficiency with Git, including branching strategies, pull requests, and code reviews. - Self motivated with the ability to independently prioritize and drive work to completion. - Strong written documentation and organizational skills. - Excellent communication skills with the ability to tailor technical discussions to different audiences. - Passion for engineering excellence, continuous improvement, and delivering meaningful business outcomes. Requirements - Experience with Amazon Web Services (AWS), particularly private, isolated, or sandboxed environments. - Experience building or supporting AI agents, orchestration frameworks, or AI governance solutions. - Experience designing or maintaining CI/CD pipelines, release workflows, approval processes, or audit logging capabilities. - Experience working with PostgreSQL or other enterprise relational database platforms. - Exposure to platform engineering, observability, deployment automation, or engineering maturity initiatives. - Comfort working in an asynchronous, documentation first engineering culture. - Desire to grow into future technical leadership opportunities such as Lead Engineer or Staff AI Engineer. Benefits - Personalized Time Off: Take time when it's needed most - whether that's a family vacation, a reset day, or simply time to rest and refocus. - Paid Sick Time: Separate, dedicated sick leave to care for yourself or loved ones. - Volunteer Time Off: Paid time to give back and support causes that matter to you. - Ten Paid Holidays: Enjoy meaningful moments and traditions throughout the year. - A competitive starting salary of $145,000-$165,000 a year plus bonus. - World-Class Learning Access: Explore thousands of on-demand courses through platforms like LinkedIn Learning. - Leadership & Technical Skill Building: Develop new capabilities and chart your own professional path. - AI Empowerment: Use OpenAI tools to build fluency with emerging technology and harness AI as a creative partner for innovation and problem-solving. - Tuition Reimbursement: Invest in formal education to advance your skills and career. - Ongoing Learning Culture: Participate in company-led webinars on AI, inclusion, and industry trends-designed to inspire curiosity and continuous improvement. - Wellness Initiatives: Company-sponsored programs that support physical, mental, and emotional well-being. - Employee Assistance Program (EAP): Confidential support for you and your family's needs. - Comprehensive Benefits: Health and financial benefits that support your happiness and future. - A Culture That Cares: At Frontline Education, we want every team member to learn, grow, and thrive-personally, professionally, and purposefully.

Role Description The Senior Manager, AI Adoption and Enablement Strategy leads the strategy and execution required to translate AI investments into meaningful business adoption, capability building, and measurable impact. This role sits at the intersection of change leadership, learning strategy, cross-functional influence, and business enablement, helping teams move from awareness and experimentation to confident, sustained use of AI in the flow of work. This leader is responsible for captaining and coordinating cross-functional teams to build and scale an adoption approach that drives both immediate uptake and long-term behavior change. Specific areas of focus include: - Tooling and Licensing Strategy - Competency Modeling and Proficiency Assessment - Literacy and Learning - Internal Communications and Change Management - KPI Identification and Measurement The role requires strong judgment, the ability to simplify complex ideas for senior and non-technical audiences, and the credibility to influence across functions without direct authority. Success in this position depends on balancing strategic vision with practical execution, bringing structure to ambiguity, and helping the organization build confidence, consistency, and momentum in how AI is adopted and applied. The ideal candidate brings a blend of strategic thinking, operational leadership, and strong people influence. They are comfortable leading cross-functional initiatives, navigating change, and working through the organizational realities that shape adoption at scale. Qualifications - Experience leading enterprise AI adoption, enablement, digital transformation, or change management initiatives - Demonstrated success driving cross-functional programs across business, HR, operations, technology, and/or learning teams - Strong understanding of AI enablement, user adoption, behavior change, and organizational readiness - Experience building adoption strategies, communication plans, and scalable enablement approaches for broad audiences - Experience designing and scaling learning and development strategies that build capability across broad audiences, including literacy, skill-building, and adoption support for new ways of working - Ability to translate complex or technical concepts into clear, actionable guidance for senior leaders and business partners - Strong executive presence and experience influencing senior stakeholders across multiple functions - Experience using metrics, KPIs, and adoption signals to assess impact and guide strategy - Background in learning and development, organizational effectiveness, change leadership, talent strategy, or digital transformation - Demonstrated ability to lead through ambiguity and bring structure, clarity, and momentum to emerging priorities - Strong people leadership skills, including coaching, prioritization, and cross-functional team leadership - Bachelor’s degree in business, organizational development, learning, human resources, communications, technology, or a related field; advanced degree preferred Requirements - Must be eighteen years of age or older. - Must be legally permitted to work in the United States. - Minimum of 2 years of work experience. Benefits - Typically requires overnight travel less than 10% of the time. - Most of the time is spent sitting in a comfortable position with frequent opportunities to move about. - Located in a comfortable indoor area; any unpleasant conditions would be infrequent and not objectionable. Competencies - COLLABORATES: Building partnerships and working collaboratively with others to meet shared objectives - COMMUNICATES EFFECTIVELY: Developing and delivering communications that convey a clear understanding of the unique needs of different audiences - COURAGE: Stepping up to address difficult issues, saying what needs to be said - CUSTOMER FOCUS: Building strong customer relationships and delivering customer-centric solutions - STRATEGIC MINDSET: Seeing ahead to future possibilities and translating them into breakthrough strategies - ORGANIZATIONAL SAVVY: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics - DECISION QUALITY: Making good and timely decisions that keep the organization moving forward - INTERPERSONAL SAVVY: Relating openly and comfortably with diverse groups of people - PERSUADES: Using compelling arguments to gain the support and commitment of others - BALANCE STAKEHOLDERS: Anticipating and balancing the needs of multiple stakeholders - PLANS and ALIGNS: Planning and prioritizing work to meet commitments aligned with organizational goals - ACTION ORIENTED: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm - BUSINESS INSIGHT: Applying knowledge of business and the marketplace to advance the organization's goals

Role Description The AI Enablement Analyst supports the AI Enablement Manager in driving Microsoft Copilot and AI adoption across SouthState Bank and in administering the enterprise AI use case intake and governance (AIGA) processes on behalf of the AI Transformation Office (AITO). The role handles the day-to-day coordination, tracking, content, and reporting that keep AI enablement running—managing the intake pipeline, preparing governance materials, maintaining the AI registry, and supporting training and communications. This position exists to give the AI Enablement Manager and the AITO added capacity to scale AI adoption responsibly and efficiently. Duties & Responsibilities - Coordinate logistics for Copilot learning sessions, office hours, and the Copilot Champions program—scheduling, invitations, materials preparation, and attendance tracking—and provide first-line responses to end-user questions, escalating complex issues to the AI Enablement Manager or IT. - Assemble AI use case packages, risk-scoring inputs, and AI due diligence (DDQ) documentation for AIGA review; schedule AIGA and related governance meetings; capture minutes and action items; and track approval conditions through to completion. - Administer the AI use case intake pipeline in SharePoint and ServiceNow—logging, tracking, and triaging incoming requests; following up with lines of business for complete information; maintaining intake and prioritization trackers; and scheduling intake reviews in support of the AI Enablement Manager and the AI Transformation Office (AITO). - Maintain and update AI Central, including resources, FAQs, and the prompt library; manage the content calendar; draft and publish new content; and support AI communications and the quarterly AI newsletter. - Maintain AI registry data and refresh, quality-check, and distribute AI Transformation Power BI reporting (Copilot usage and adoption; use case pipeline, status, and value realization); and compile recurring metrics and reports for the AI Enablement Manager and AITO. - Provide administrative and project support to the AI Enablement Manager and broader Data Intelligence and AI Transformation Office initiatives, including scheduling, documentation, and ad hoc data gathering and analysis as needed. - Take ownership of all tasks and challenges encountered in the operation of the assigned position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Qualifications - Minimum: Bachelor’s degree in Business, Information Systems, Data Analytics, Communications, or a related field, or equivalent experience. - Preferred: Coursework, certification, or experience in data analytics, AI, or business technology. - 1–3 years of experience in an analyst, coordinator, or administrative support role, preferably involving technology, data, or process coordination. - Hands-on experience with Microsoft 365; exposure to Microsoft Copilot or other AI tools preferred. - Experience maintaining trackers, documentation, or reporting for a team or program. - Preferred: Microsoft 365/Copilot fundamentals certification; Power BI or ServiceNow familiarity a plus. Knowledge, Skills, & Abilities - Working knowledge of Microsoft 365 and a strong interest in and aptitude for generative AI tools such as Microsoft Copilot. - Highly organized and detail-oriented, with the ability to manage multiple requests, trackers, and deadlines simultaneously. - Proficiency with SharePoint and Excel; familiarity with Power BI and ServiceNow is a plus. - Clear written and verbal communication, with the ability to prepare resources, FAQs, and end-user support materials. - Strong customer-service orientation for responding to end-user questions and supporting adoption. - Discretion and reliability in handling governance, risk, and other sensitive documentation. - Eagerness to learn AI tools, trends, and best practices, and to grow within the AI enablement function. - Ability to work both independently and collaboratively across business lines, IT, and risk partners. Physical Demands and Work Environment - Ability to communicate in person, on the phone, and through electronic channels. - Ability to use a computer on a frequent basis, including typing and sustained attention to a monitor. - Ability to sit, walk, and/or stand for extended periods of time. - Ability to bend and reach. - Remote or hybrid: For remote or hybrid positions, a secure and distraction-free setting is required, with a reliable internet connection (cable or fiber preferred, mobile hotspots not acceptable). Hybrid positions will report to a physical Company location, as directed by the manager, and that setting will be a typical office environment.