Consensus

Events

• Own the global event program strategy, calendar, budget, and pipeline outcomes
• Own virtual DEMOFEST and RevAMP end to end, including strategy, themes, speaker recruitment, promotion, production, and post-event analysis
• Rebuild and manage the webinar program, including content strategy, calendar, execution, and pipeline and engagement targets
• Define success criteria for each program and report results to marketing leadership and the broader GTM team
• Build and run regional field event strategy across the U.S. and Europe
• Manage first-party dinners, roadshows, customer gatherings, external events, and sponsored conferences
• Evaluate event opportunities, negotiate packages, determine participation standards, and discontinue underperforming events
• Drive pre-event, on-site, and post-event demand motions with Demand Generation and Sales Development
• Support in-person DEMOFEST planning and on-site execution with the Sr. Manager, Field Marketing
• Forecast, manage, and defend the event marketing budget
• Manage vendors, agencies, and contractors
• Build event reporting and use performance data to reallocate budget and effort
• Communicate plans, progress, and outcomes to senior leadership and cross-functional stakeholders

Manager, Event & Field Marketing

DevOps Engineer

• Design and build sophisticated CI/CD pipelines for rapid feature deployment across microservices and distributed systems
• Leverage AI code-generation tools to accelerate pipeline development and implement intelligent testing strategies
• Write custom pipeline scripts and integrations using Python and shell scripting
• Architect GitOps workflows using ArgoCD, Flux, or similar platforms
• Implement progressive delivery strategies, including blue-green deployments, canary releases, and feature flags
• Optimize builds using AI-powered caching, parallel execution, and dependency analysis
• Champion AI tool adoption across the DevOps lifecycle
• Use AI pair-programming tools to create Terraform modules, Python automation scripts, shell scripts, Kubernetes manifests, and troubleshooting workflows
• Implement AIOps practices for self-healing systems, intelligent alerting, anomaly detection, and predictive maintenance
• Use AI-driven monitoring, observability, log analysis, and root-cause analysis to reduce MTTR
• Build developer-friendly platform tools that abstract infrastructure complexity
• Automate deployments, infrastructure provisioning, security scanning, compliance checks, and operational runbooks
• Develop Python automation scripts and CLI tools to streamline operations and integrate systems
• Design Kubernetes container-orchestration strategies with AI-enhanced optimization and scaling
• Implement AI-powered capacity planning, cost optimization, security scanning, and vulnerability remediation
• Partner with engineering teams to optimize delivery pipelines and remove bottlenecks
• Evaluate and adopt emerging AI technologies
• Create documentation using AI assistants
• Drive DevOps culture through mentorship, best-practice evangelism, and technical leadership
• Implement feedback loops from production monitoring into development practices