• Serve as the primary point of contact for your assigned learners across Slack, email, and Zoom. • Foster trust and connection while supporting learners in overcoming both technical challenges and emotional hurdles as they navigate the AI landscape. • Lead weekly Slack communications, provide motivational updates, and respond promptly to questions. • Conduct 1:1 check-ins or small group outreach for at-risk learners, providing personalized support and encouragement. • Engage in weekly live sessions as a moderator and co-host, managing Zoom logistics, chat engagement, breakout rooms, and learner support needs. • Partner with instructors to create an interactive, high-energy environment that reflects the dynamic nature of the AI space. • Track learner activity, completion of weekly assignments, and participation in both asynchronous and synchronous components. • Flag and proactively intervene with at-risk learners, using data from the Learning Management System and communication logs. • Maintain updated and organized documentation on each learner’s progress and engagement.

• Own the full delivery lifecycle of AI, data science, and GenAI initiatives • Translate business goals into structured delivery plans, roadmaps, and milestones • Own backlog management, sprint planning, ceremonies, KPIs, and delivery reporting • Proactively manage risks, dependencies, and delivery constraints • Coordinate execution across data scientists, ML engineers, data engineers, and software teams • Oversee data workflows and validate outputs using SQL, JSON, and Python • Act as the primary delivery interface for business and technical stakeholders • Track spend, capacity, utilisation, and delivery forecasts • Prepare delivery dashboards and performance insights for leadership • Define and enforce delivery standards, governance, and quality controls • Ensure production readiness through validation, quality gates, and delivery discipline

• Conduct deep technical research to discover and report novel risks and attack vectors specific to modern cloud and AI-native architectures and systems. • Discover and articulate the highest unaddressed risk areas, working with Product and Engineering teams to translate research into product capabilities. • Define necessary foundational product capabilities by delivering both compelling proofs of risk (demonstrating impact) and technical POCs (showing how to solve it). • Work closely with Product and Engineering teams to ensure comprehensive risk coverage and support the investigation of new and complex product scope.

• As a Value Engineer for Agentic AI, you will be the strategic translator between Granicus’s AI capabilities and the real-world challenges faced by government agencies. • Work alongside sales, product, and customer experience teams to uncover opportunities, shape solutions, and quantify outcomes. • Lead discovery sessions involving the mapping of current state service delivery models to understand agency pain points, legal requirements, and service delivery goals. • Design agentic AI solutions that align with strategic priorities and demonstrate clear ROI. • Quantify impact through metrics like cost savings, call deflection, staff efficiency, specific programmatic outcomes, and resident satisfaction. • Translate complex AI capabilities into actionable business value for technical and non-technical stakeholders. • Collaborate with AI Solution Consultants to support demos, architecture, and integration planning. • Serve as a subject matter expert on agentic AI, workflow automation, and public sector digital transformation. • Apply domain expertise to reimagine and automate services such as permitting, licensing, benefits enrollment, and public engagement. • Partner with agencies to align stakeholders, build consensus, and drive change management to support solution adoption. • Analyze customer data to identify trends, validate outcomes, and refine solution strategies. • Collaborate with Granicus Experience Partners and delivery teams to ensure the value promised in pre-sales is fully realized post-implementation.