• Lead the use of artificial intelligence across the full product and digital-solution development lifecycle, acting as a bridge between technology and business: identify opportunities, run experiments and implement AI solutions that deliver real impact. • Identify and implement AI opportunities (including generative AI) in products and processes. • Lead proofs of concept and pilot projects, validating value and feasibility. • Integrate AI models and APIs into existing systems. • Work closely with product, engineering and business teams. • Ensure security, privacy and regulatory compliance in the use of data and AI.

• Collaborate with requestors across a variety of business units to document details of the project request to ensure key details are captured in a concise and easy to understand manner. • Identify gaps, risk, and potential improvements within business and technology processes and recommend solutions. • Facilitate working sessions and meetings, preparing materials, guiding discussions to ensure stakeholders needs are understood and represented in the requirements and success criteria. • Maintain and update KeyedIn resource planning and forecasting to reflect current and anticipated project resource requirements. • Monitor resource capacity and provide insights on resource availability and utilization to aid in project scheduling and prioritization efforts. • Work with relevant teams to obtain Level of Effort estimates and participate in documenting and submitting requirements to other business intake processes. • Support the Corporate IT intake process by stepping into the project management role during period of high demand ensuring continuity of support for critical projects. • Assist in creating and updating internal process documentation, flow charts and other related materials to improve efficiency and support improvements. • Contribute to continuous improvement initiatives within the team to enhance project delivery and stakeholder satisfaction. • Act as a liaison between the business and technology to build strong relationships and be a central point of contact for the intake process and projects. • Prepare and deliver accurate status reporting efforts. • Assist in planning and designing business processes and in formulating recommendations to improve and support business activities.

Role Overview We are looking for a forward-thinking AI & Local Search Research Intern to help us redefine how we manage local visibility at scale. Last year, we focused on manual optimization; this year, we want to build the future. You will explore how Large Language Models (LLMs) and AI automation can be applied to Local SEO—from automating Google Business Profile updates to researching how AI-powered search engines (like Perplexity and Google SGE) rank local businesses. Key Responsibilities ●      AI Research & Benchmarking: Conduct research on how generative AI search engines summarize local business data and identify the "ranking factors" for AI-led local discovery. ●      Prompt Engineering for Content: Develop and test prompts to generate high-quality, localized FAQs, store descriptions, and social posts while maintaining brand voice and SEO integrity. ●      Workflow Automation: Partner with the team to identify repetitive local SEO tasks (e.g., auditing listings or sentiment analysis on reviews) that can be streamlined using AI tools. ●      Competitive Intelligence: Use AI-powered tools to perform deep-dive competitive analysis into how rivals are positioning themselves in local markets. ●      Data Analysis: Work with Google Search Console and Looker Studio to track how AI-driven search changes impact our organic traffic and conversion rates. ●      Strategic Documentation: Create a "Playbook for AI in Local SEO" based on your summer findings to help the team transition from manual to automated workflows.

Role Overview We are looking for a forward-thinking AI & Local Search Research Intern to help us redefine how we manage local visibility at scale. Last year, we focused on manual optimization; this year, we want to build the future. You will explore how Large Language Models (LLMs) and AI automation can be applied to Local SEO—from automating Google Business Profile updates to researching how AI-powered search engines (like Perplexity and Google SGE) rank local businesses. Key Responsibilities ●      AI Research & Benchmarking: Conduct research on how generative AI search engines summarize local business data and identify the "ranking factors" for AI-led local discovery. ●      Prompt Engineering for Content: Develop and test prompts to generate high-quality, localized FAQs, store descriptions, and social posts while maintaining brand voice and SEO integrity. ●      Workflow Automation: Partner with the team to identify repetitive local SEO tasks (e.g., auditing listings or sentiment analysis on reviews) that can be streamlined using AI tools. ●      Competitive Intelligence: Use AI-powered tools to perform deep-dive competitive analysis into how rivals are positioning themselves in local markets. ●      Data Analysis: Work with Google Search Console and Looker Studio to track how AI-driven search changes impact our organic traffic and conversion rates. ●      Strategic Documentation: Create a "Playbook for AI in Local SEO" based on your summer findings to help the team transition from manual to automated workflows.