• The Director, AI & Automation is a strategic and hands-on leadership role responsible for driving the adoption and integration of artificial intelligence and automation technologies across the organization. • Reporting directly to the VP, Product & Engineering, this individual will lead the company's AI transformation agenda — working side-by-side with teams and individuals to get them moving quickly, accelerating how work gets done, increasing the volume and quality of output, and significantly reducing operational costs. • This is not a purely strategic role. The right candidate rolls up their sleeves, embeds with teams, and acts as a personal AI coach, accelerator, and implementation partner across the business. • Actively embed with departments, teams, and individuals to help them adopt AI tools in their day-to-day work. • Run working sessions, workshops, and 1:1 coaching to rapidly upskill employees at all levels. • Identify quick wins within each group and help implement them fast — building momentum and confidence. • Build AI tools and agents as needed to help accelerate organizational adoption and use. • Act as a go-to resource for anyone in the company looking to leverage AI in a new way. • Create a "first mover" culture by celebrating early adopters and sharing wins company-wide. • Develop and execute a company-wide AI and automation strategy aligned with business objectives. • Identify high-impact opportunities to embed AI across all departments and functions. • Build and maintain a prioritized roadmap of AI initiatives with measurable ROI. • Lead cross-functional teams to implement AI tools, workflows, and platforms. • Partner with department heads to redesign processes using AI and automation. • Oversee vendor selection, procurement, and management of AI technologies. • Establish KPIs to measure the impact of AI adoption on productivity, output volume, and cost reduction. • Report progress and outcomes directly to the CEO and executive leadership team. • Drive continuous improvement cycles based on data and performance feedback. • Champion an AI-first mindset across the organization — starting with people, not technology. • Make AI approachable and practical for non-technical employees. • Remove barriers to adoption by simplifying tools, creating guides, and offering ongoing support. • Develop scalable training programs that get people productive with AI quickly. • Work with Legal/Compliance to establish AI governance policies, ethical guidelines, and data privacy standards that are in compliance with relevant regulations and responsible AI practices.