• Design, build, and maintain AI-enabled tools, workflows, and internal automations that improve team efficiency and business outcomes. • Partner with cross-functional stakeholders to identify high-value AI enablement use cases across product development, operations, support, and internal business functions. • Develop integrations between AI services, internal systems, and third-party platforms using APIs, scripting, and automation frameworks. • Translate business problems into scalable technical solutions, including prompts, orchestration logic, data pipelines, and supporting applications. • Establish and follow best practices for responsible AI usage, including security, privacy, data handling, testing, monitoring, and documentation. • Evaluate emerging AI tools, models, and platforms and recommend practical solutions aligned with CivicPlus needs and architecture. • Collaborate with engineering and data teams to ensure reliable access to the data, services, and infrastructure needed to support AI-enabled solutions. • Create and maintain documentation, technical standards, and reusable patterns that support sustainable AI adoption across teams. • Troubleshoot and optimize existing AI automations and integrations to improve reliability, performance, cost-effectiveness, and user experience. • Provide technical guidance, training, and enablement support to internal teams adopting AI-powered tools and workflows. • Participate as a collaborative member of an Agile team and contribute to continuous improvement of engineering practices and delivery standards. • Perform other duties as assigned. • AI-augment product operations workflows: research synthesis, customer signal analysis, feedback triage, release support. • Operate within GovRAMP and sensitive-data constraints from day one. • Bridge product strategy to AI delivery; mid-to-senior business judgment expected. • Coordinate with Engineering's own AI adoption (e.g., AI-assisted code review) without owning Engineering's tooling. • Partner with Product Marketing and Customer Success Ops where workflows cross boundaries.

• Orchestrate High-Impact US Pilots: Take ownership of the end-to-end execution of US pilot projects • Bridge the Innovation Gap: Provide manual excellence and creative workarounds necessary for successful outcomes • Drive Organizational Enablement: Define the Ideal Customer Profile and create playbooks for adoption of new products • Provide Actionable Product Feedback: Gather insights from US projects to sharpen product roadmap • Leverage Modern Tech-Forward Workflows: Utilize Notion, Slack, and AI tools for streamlined workflows • Act as SME for Complex Success: Provide technical and functional guidance to internal teams

Role Description We are looking for a Summer Intern to support our Clear Intelligence initiative, which is focused on improving how curriculum content is structured, authored, and delivered across print and digital formats. In this role, you will work at the intersection of content, data, and systems design, helping to document and operationalize the content architecture that supports automated production workflows. You will collaborate with Product, Engineering, and Data and Reporting teams to translate existing content structures into clear, usable documentation. This work will directly support automated pipelines for content production, as well as downstream data and reporting systems. What Your Day Will Look Like - Document the existing content architecture, including how content is structured and nested within structured document files. - Document how shared content is reused across student and teacher experiences, including the use of shared UUIDs and common component structures. - Partner with the Data and Reporting team to understand how student interaction data in digital content is currently captured. - Analyze digital learning activities to identify interaction types, expected student responses, and data elements required to feed the data and reporting pipeline. - Support the documentation of how interaction data aligns with existing data models and contributes to the organization’s data pipeline. - Collaborate with Product, Engineering, and Design teams to ensure the documented content architecture supports both production and future design system development. What Success Looks Like - By the end of the summer, you will have produced clear and consistent documentation of content architecture that reflects how content is structured in practice. - You will have documented how student interaction data aligns with existing data models and identified gaps or inconsistencies that need to be addressed. - Your work will result in documentation that can be used directly by Engineering, Data and Reporting, and Design teams to support automated production and data workflows. Qualifications - You are currently pursuing a bachelor’s degree in Data Science, Computer Science, Information Systems, or a related field. - You have experience working with structured data, such as JSON or XML, and with tools such as Python or SQL. - You demonstrate strong analytical and problem-solving skills and pay close attention to detail. - You can document complex systems and workflows clearly and in a structured manner. - You communicate effectively and are comfortable working across multiple teams. - You are comfortable working in an environment where systems are evolving and not fully defined. Benefits - Flexible work arrangements with our Work From Anywhere Policy. - Quarterly Wellness Incentives. - Monthly employee activities + recognition program. - Employee Allyship Groups (EAGs).

• Partner with product leads to coordinate roadmap planning, sprint cadence, and cross-team dependencies, keeping inputs organized and threads moving forward • Draft planning documents, status updates, and meeting notes for senior stakeholders, translating discussion into clear written artifacts • Maintain product operations hygiene in Jira — boards, workflows, reporting — and help apply prioritization frameworks like RICE or weighted scoring • Build and maintain lightweight dashboards and spreadsheets that give product leaders visibility into delivery, velocity, and key product metrics • Support Agile/Scrum ceremonies (sprint planning, retros, backlog grooming) and help product leads prepare and follow through on action items • Use Claude and other AI tools to accelerate routine work — summarizing meetings, drafting docs, analyzing data, and building lightweight internal automations • Identify gaps in process and proactively define your own role and workflows rather than waiting for direction