Role Description This is a full-time role owning paid media execution, organic social strategy, intent activation, and AI workflow operations for Marketing at RUCKUS Networks. - Run and optimize paid campaigns. - Manage the full organic social program. - Execute coordinated intent activation motions. - Embed AI into daily execution across both paid and organic channels. - Build and document repeatable AI-assisted workflows. Qualifications - Hands-on paid media operator with strong analytical instincts. - Experienced B2B social media marketer. - AI-native: uses AI tools daily and builds repeatable workflows. - Data-driven, focused on MQL quality and pipeline impact. - Strong writer and editor. - High bar for brand accuracy and tracking hygiene. - Clear communicator and effective cross-functional partner. - Comfortable in a lean, agile environment. Requirements - 6 or more years of hands-on B2B paid media execution. - 3 or more years in B2B social media marketing. - Demonstrated ability to build and use AI-enabled workflows. - Experience with intent data platforms and account-based targeting. - Hands-on LinkedIn Campaign Manager experience. - Working familiarity with Salesforce and paid-to-MQL measurement. - Strong writing and editing skills. - Strong analytical skills. - Sound judgment in public channels and communities. - Effective cross-functional collaborator. - Business-fluent in English. Benefits - Opportunity to grow your career alongside bright, passionate, and caring people. - Work in a global team of innovators and trusted advisors. - Be part of a company that values listening to customers first.

• Own Customer Analytics: Improve the analytics, engagement and AI integration strategy for Customer Success and Customer Support • Strategize across the customer lifecycle • Direct the pod • Build AI-powered tools that drive incremental value • Accelerate impact with AI

Role Description ArtU is seeking a Director of AI Strategy to serve as a trusted internal advisor to academic and administrative leadership. This role will lead the development and execution of institution-wide AI strategies that support creative excellence, student success, workforce readiness, and operational effectiveness. The Director of AI Strategy combines strategic thinking and vision, executive advisory skills, and practical execution, translating emerging AI technologies into responsible, human-centered solutions aligned with the university’s mission and values. This role reports to the Chief of Staff and partners closely with university leadership to align AI initiatives with institutional mission, values, and long-term goals, ensuring innovation enhances student outcomes, faculty enablement, and operational excellence. Responsibilities - Strategic Advisory & Leadership - Serve as a trusted advisor to university leadership on AI, emerging technologies, and digital transformation. - Translate complex technical concepts into clear, actionable strategies for non-technical stakeholders. - Facilitate executive-level discussions to define AI vision, priorities, and enterprise-wide decision-making. - AI Assessment & Readiness - Lead comprehensive AI capability and readiness assessments across academic and administrative units, including: - Evaluation of current-state of employees, processes including workflows across departments, technologies, data, and tools. - Identification of gaps, risks, and opportunities related to AI adoption, governance, and workforce readiness. - Synthesis of findings into concise, actionable insights for leadership and stakeholders. - Strategy & Roadmap Development - Develop and maintain AI strategy roadmaps aligned with University objectives, including student success, faculty support, creative innovation, and operational efficiency. - Design phased implementation plans that balance innovation, feasibility, risk management, and human impact. - Define success metrics and expected outcomes, including adoption, maturity, and capability development. - Enablement, Governance & Responsible AI - Advise on AI enablement strategies, including governance frameworks, ethical use, accessibility, academic integrity, and responsible AI practices. - Support workforce transformation through learning strategies, training programs, and capability building. - Evaluate and recommend build vs. buy decisions for AI tools, platforms, and solutions. - Engagement & Facilitation - Design and lead workshops, executive briefings, and AI use case discovery sessions for diverse audiences, including faculty, administrators, and creative practitioners. - Partner with stakeholders to identify high-value, responsible AI use cases across academic, creative, and operational domains. Qualifications - Demonstrated experience in AI strategy, digital transformation, technology consulting, or a related field. - Proven ability to advise and collaborate with senior leaders and cross-functional stakeholders. - Strong conceptual understanding of AI, data, and cloud technologies, with the ability to communicate clearly to non-technical audiences. - Experience leading assessments, developing strategic roadmaps, and supporting implementation efforts. - Excellent facilitation, storytelling, and presentation skills. Requirements - Experience in higher education, creative industries, or mission-driven organizations. - Knowledge of responsible AI, ethics, governance, and workforce transformation. - Familiarity with both enterprise and creative AI tools and platforms. - Consulting or internal advisory experience within a complex organization. Benefits - Health insurance. - 401k options. - Paid vacation based on years of service (15 days' accrual at start). - Paid holidays. - Paid sick leave. - Commuter benefit program. - Opportunity to take one undergraduate course tuition free each semester. Compensation $135,000 - $165,000 annually based on experience and location. Application Deadline June 22, 2026 Company Description Academy of Art University is based solely in San Francisco, California. This job opportunity may be available for remote work from a predesignated location within the contiguous United States.

• Build and fine‑tune models for detection, tracking, segmentation (2D/3D), pose & activity recognition, and scene understanding (incl. 360° and multi‑view) • Train/evaluate vision–language models (VLMs) for grounding, dense captioning, temporal QA, and tool‑use; design retrieval‑augmented and agentic loops for perception‑action tasks • Prototype perception‑in‑the‑loop policies that close the gap from pixels to actions (simulation + real data) • Curate datasets, author high‑signal evaluation protocols/KPIs, and run ablations that make results irreproducible impossible • Package research into reliable services on a modern stack (Kubernetes, Docker, Ray, FastAPI), with profiling, telemetry, and CI for reproducible science • Orchestrate multi‑agent pipelines (e.g., LangGraph‑style graphs) that combine perception, reasoning, simulation, and code‑generation to self‑check and self‑correct