• Acting as the senior analyst for escalated investigations spanning supported DRP use cases • Designing, building, and maintaining automations that reduce manual analyst effort across the DRP alert lifecycle • Partnering with Analysts, Program Managers, and Solutions Leaders to identify the highest-leverage opportunities for automation and tooling improvements • Translating recurring analyst workflows into reusable playbooks, enrichments, and integrations that scale with our customer base • Supporting Sales and Solutions Consulting on active Managed Services opportunities through scoping conversations, technical deep-dives, and demonstrations of service value

• Collaborate with stakeholders to understand business requirements and translate them into robust geospatial solutions using ESRI toolsets. • Design architectures that integrate ESRI products such as ArcGIS Desktop, ArcGIS Pro, ArcGIS Online, and ArcGIS Enterprise into comprehensive geospatial systems. • Develop technical specifications, diagrams, and documentation to guide development teams in building ESRI-based solutions. • Demonstrate mastery of ESRI toolsets, APIs, and libraries to design and develop tailored solutions. • Evaluate the applicability of ESRI extensions and add-ons to meet specific project requirements. • Utilize ESRI's geospatial capabilities to solve complex spatial problems and deliver actionable insights. • Support on Esri products such as Notebook Server, Knowledge Server, ArcPro, Monitor, etc. • Lead the development of custom geospatial applications and tools using ESRI's APIs (ArcGIS API for JavaScript, ArcPy, ArcObjects, etc.). • Integrate ESRI solutions with other enterprise systems and databases, ensuring seamless data flow and interoperability. • Provide thought leadership on novel cloud-based approaches and integrations to increase program efficacy across an enterprise. • Design and implement geodatabases using ESRI's geodatabase model, enforcing data integrity, relationships, and geospatial standards. • Optimize data storage, indexing, and querying for large-scale geospatial datasets within ESRI environments. • Plan and execute the deployment of ESRI solutions on cloud platforms (e.g., AWS, Azure) or on-premises infrastructure. • Configure and manage ArcGIS Enterprise components, including web services, map services, and data services. • Apply advanced geospatial analysis techniques using ESRI's spatial analytics tools. • Create dynamic and visually appealing geospatial visualizations, dashboards, and web maps using ArcGIS Online and other ESRI tools. • Collaborate closely with multidisciplinary teams, including developers, data scientists, project managers, and clients. • Communicate technical concepts and solutions effectively to both technical and non-technical stakeholders. • Provide guidance and recommendations to clients on leveraging ESRI technologies to address their geospatial challenges. • Ensure the quality, accuracy, and reliability of geospatial solutions through rigorous testing and validation. • Optimize performance of ESRI-based applications, addressing latency and responsiveness issues. • Stay updated on ESRI product updates, releases, and best practices. • Explore and experiment with new ESRI tools and capabilities to propose innovative solutions to complex geospatial problems.

• Help Engineering Teams Adopt AI-Native Development • Roll out Cursor across strategic engineering organizations. • Configure environments, design workflows, and run hands-on enablement sessions. • Help developers integrate Cursor into real production workflows — not isolated demos. • Drive fast time-to-value and durable adoption across teams. • Identify workflow friction and solve problems quickly. • Expand Cursor Across the Organization • Identify where Cursor should expand next inside the customer environment. • Help engineering organizations evolve from isolated usage to company-wide adoption. • Design rollout strategies for new workflows, teams, and platform groups. • Partner with customers to operationalize AI-assisted development at scale. • Work closely with Account Executives during major expansion moments. • Become a Trusted Technical Partner • Build deep relationships with developers, platform teams, engineering leadership, and executive stakeholders. • Lead architecture reviews, technical working sessions, and strategic planning discussions. • Advise customers on developer productivity, workflow design, governance, and AI adoption strategy. • Coordinate across Sales, Product, Engineering, and Customer Success to unblock customer progress. • Help organizations navigate workflow and operational change as AI-native development evolves. • Drive Real Customer Outcomes • Help customers translate adoption into measurable engineering impact. • Connect Cursor usage to outcomes like faster iteration cycles, improved developer productivity, workflow efficiency, and engineering quality. • Help customers communicate the value of Cursor internally and build momentum for broader adoption. • Turn successful deployments into repeatable workflow patterns across the organization. • Help Make Cursor Indispensable • Deepen workflow adoption and long-term product stickiness. • Monitor competitive risk and help customers standardize on Cursor over time. • Support recovery plans when adoption slows or competing tools gain traction. • Help customers build workflows they can’t imagine operating without. • Shape the Future of the Product • Bring structured feedback from strategic customers into Product and Engineering. • Identify emerging workflow patterns, friction points, and enterprise requirements. • Help shape new capabilities through lighthouse customers and design partnerships. • Turn successful customer workflows into reusable playbooks and reference patterns.

• Embed with business teams across AI2IO and affiliated companies to observe workflows, elicit requirements, and identify high-value AI use cases • Design and build AI-based solutions within approved platforms, including Claude Projects, Microsoft 365 Copilot agents, and the internal CORE AI platform • Develop and maintain prompt libraries, system prompts, and structured workflows tailored to specific business processes and roles • Configure Power Automate flows, Copilot Studio agents, and other low-code components that extend AI capabilities into existing business systems • Conduct discovery sessions with business stakeholders to translate non-technical problem statements into actionable AI implementation plans • Pilot, iterate, and refine AI solutions in close partnership with the business owners who will operate them • Document delivered solutions with sufficient detail for handoff to end users and for replication by other consultants • Partner with the AI Enablement Program Manager to convert successful engagements into reusable patterns, case studies, and training material • Surface platform gaps, governance concerns, and feature requests to the Director of AI Enablement based on field observations • Maintain current, working knowledge of capability updates across all approved AI platforms