• Design, build, deploy, and maintain production LLM‑based solutions and agent workflows. • Own the technical strategy and reference architecture for enterprise AI solutions across multiple teams and business functions. • Lead high-complexity, cross-functional AI initiatives from ambiguous problem definition through production adoption and measurable business outcomes. • Define and evolve reusable platform capabilities, implementation standards, and governance patterns that enable safe, scalable AI adoption beyond a single team. • Review citizen developer AI agents / solutions to provide recommendations for optimization, ensure compliance with guidelines and measure value. • Influence roadmap and investment decisions across the company through technical leadership and business-value analysis. • Drive technical debates, align stakeholders on tradeoffs, and unblock multi-team execution for strategically important AI initiatives. • Implement, review, and validate code produced by models; write production‑quality code and run code reviews to ensure correctness and security. • Build robust integrations and connectors (MCP, REST/GraphQL APIs, webhooks, SDKs, CLIs) between AI tooling and enterprise SaaS (e.g., Okta, Google Workspace, Slack, Jira, Confluence, Jamf). • Own end‑to‑end deployment and lifecycle for AI services: CI/CD pipelines, Infrastructure as Code modules (Terraform), cloud deployment (GCP/AWS), monitoring, and incident/runbook playbooks. • Establish and operate model evaluation, monitoring, and governance: accuracy and safety metrics, hallucination detection, drift monitoring, telemetry, alerting, and human‑in‑the‑loop controls. • Lead vendor evaluations and POCs across commercial and open‑source LLM/agent platforms; produce comparative performance, risk, and TCO recommendations to inform adoption. • Partner with Cybersecurity and Compliance to design PHI‑safe data handling patterns (sanitization, tokenization, least‑privilege access, audit logging) and ensure AI solutions align with relevant controls and policies. • Create and maintain architecture diagrams, API documentation, runbooks, support documentation, and onboarding materials so solutions are maintainable and auditable. • Mentor engineers and influence architectural standards for AI/LLM adoption across Digital Workplace; contribute reusable libraries and IaC modules to accelerate future builds. • Drive automation of operational tasks (provisioning, onboarding, common workflows) via agents and workflow tooling to reduce manual processes. • Partner with Technology Services leadership to implement AI spend management tools and value tracking.

• Partnering with our Sales team to articulate the overall Grafana value proposition, vision and strategy to customers • Owning the technical engagement with customers and help close complex opportunities through advanced competitive knowledge, technical skill and credibility • Delivering product and technical presentations to potential and existing customers • Effectively communicate with customers and internal teams to provide feedback on our products and the competitive landscape • Driving product conversations based on need and problems with customers • Working with the team to enhance documentation, write blog posts, record videos, contribute knowledge base articles and create other public or private enablement material

• Attract, recruit, ramp and mentor a team of Presales SE’s • Get the best out of your team with a servant-based leadership approach • Direct day to day work based on guidance and goals from leadership • Partner with Sales leadership on customer programs and marketing initiatives • Executive sponsorship of key accounts in the region • Understand key customers’ strategies for adoption of Grafana technologies • Ensure customers’ requirements are being met with our product • Own and report on quarter over quarter cadence • Find and drive enablement and sell with/through channel partners

• Understand the technologies, constraints and other issues of an application security program and its implementation. • Demonstrate Veracode platform, value proposition and technology for prospects, customers, and partners. • Understand the customer's business, security, and compliance challenges. • Match Veracode solutions to customer's business and technical requirements. • Complete RFPs, security questionnaires, and 3rd party security attestations. • Present Veracode’s vision, strategy and product roadmaps to executives and technical management. • Provide customer-oriented feedback to internal product development groups to guide the future direction of the Veracode service.