• Design, build, and maintain internal AI solutions • Develop custom AI applications, automations, and internal tools aligned with our enterprise AI priorities (enterprise search, intelligent automation, virtual agent capabilities, and secure AI enablement). • Build prototypes and production-ready functionality using Python (primarily), JavaScript/TypeScript, or similar languages. • Integrate AI capabilities into core systems including Google Workspace, Slack, Atlassian (Jira, Confluence), Salesforce, Okta Workflows, and internal APIs. • Implement retrieval pipelines, embeddings, prompt orchestration, and internal agent frameworks. • Act as the AI business partner for the organization • Meet with teams across the business to analyze workflows and identify opportunities to apply AI and automation. • Translate ambiguous needs into technical solutions that drive measurable impact. • Create AI usage patterns, templates, and frameworks employees can adopt quickly and safely. • Support AI Governance Board workstreams and implement safety, auditability, data privacy, and responsible-use controls. • Develop integrations and automation pipelines • Use APIs, webhooks, and scripting to connect AI systems to operational and business data. • Build automation pipelines that significantly reduce cycle times across operations, finance, and People workflows. • Partner with Enterprise Systems to integrate AI into order-to-cash workflows, operational tooling, and enterprise systems. • Support Spring’s AI infrastructure & enterprise AI tooling strategy • Collaborate with Security and Engineering to ensure responsible, compliant, and observable AI deployments. • Evaluate and integrate enterprise AI tools such as Glean, Console, and other AI productivity platforms. • Contribute to guidelines, architecture patterns, and playbooks for internal AI development. • Enable, train, and empower the company to use AI • Build documentation, guides, and internal tools that make AI adoption intuitive for all employees. • Partner with Enablement to design and deliver internal AI education programs. • Serve as a technical escalation point for complex AI and automation challenges.

• Own user lifecycle management across identity providers, devices, GitHub, and SaaS tools (onboarding, offboarding, role changes). • Manage and improve endpoint management for a fully remote workforce (macOS and Linux), including security posture, patching, and device compliance. • Administer identity, access management, and SSO systems (e.g., Okta or equivalent), following least-privilege principles. • Manage GitHub organization settings, access controls, repositories, and automation in partnership with engineering teams. • Build and maintain automation for IT workflows using code (e.g., provisioning, access reviews, audits). • Maintain and improve internal IT systems and tooling with a focus on reliability, scalability, and developer experience. • Partner with security and engineering teams to support compliance initiatives (e.g., SOC 2, ISO 27001), audits, and evidence collection. • Define and enforce device, access, and security policies while balancing usability and productivity. • Evaluate, deploy, and manage SaaS tools used across the company. • Lead IT initiatives from 0→1, including system rollouts, tooling migrations, and process improvements. • Document systems, workflows, and standards to reduce operational toil and improve clarity.

• Understand capability needs; Gather project specifications; Create business cases • Translate high-level business needs into detailed requirements for new capabilities • Analyze data to determine business problems, trends, or opportunities for process improvements • Create/execute test cases; Provide root cause analysis and corrective action plans • Ensure quality delivery • Identify, document, and resolve risks, defects and issues • Analyze market trends for competitive insight

• Provide subject matter expertise in the realm of SailPoint IdentityIQ • Responsible for the development, implementation, configuration, and administration of the SailPoint IIQ platform • Designing, developing and implementing integrations on SailPoint IIQ platform • Onboarding systems and applications for automated user lifecycle management and self-service access requests • Following system development life-cycle practices as directed • Managing system upgrades and patching • Creating and maintaining detailed System, Process and Operational documentation