• Responsible for the strategic and operational leadership of the technical delivery teams. • Drive the AI strategy across the organization, aligning with the enterprise roadmap and go-to-market approach. • Provide first-level supervision, coaching, and support to Professional Services staff, ensuring the highest level of technical expertise and support to customers. • Support the team in creating innovative technical designs to help acquire new customers and increase penetration within the existing customer base. • Support sales acquisition efforts and represent company solutions to prospective clients. • Influence product and process improvement initiatives by identifying and removing barriers, and modifying or enhancing current processes. • Lead AI strategy and enablement within a global SaaS organization, helping translate emerging AI capabilities into customer-relevant solutions and business value. • Define AI positioning, messaging, and target audiences, ensuring alignment between product capabilities, market needs, and go-to-market strategy. • Analyze AI SaaS performance and adoption metrics, including usage trends, customer adoption patterns, and broader market dynamics, to inform strategy and investment decisions. • Develop AI-focused content across the customer journey, including awareness, education, adoption, and value-realization materials. • Collaborate cross-functionally with corporate, product, marketing, and enablement teams to execute AI programs, campaigns, and customer engagement initiatives. • Build and lead high-performing teams, managing goals, delegating work, and empowering direct reports to make decisions. • Cultivate a culture of inclusivity, customer centricity, teamwork, and collaboration. • Develop and empower direct reports to take action. • Develop and implement long-term product strategies related to Contact Center services. • Provide strategic direction for Contact Center service offerings and packages globally. • Manage operational aspects of Professional Services, ensuring high-quality technical sales support and expertise for Contact Center solutions. • Lead the implementation of Professional Services Automation (PSA). • Provide expert-level knowledge in UCaaS and CCaaS, including IVR systems, email integrations, API integrations with CRM, and call flow design. • Act as an escalation point for critical Contact Center issues.

• Parse and analyze large volumes of transactional and behavioral data to identify indicators of fraud and risk • Develop and maintain a rules-based risk engine that adapts to emerging threat patterns • Conduct ad hoc investigations on suspicious activity and emerging risk scenarios • Serve as the subject matter expert on fraud patterns, adversarial tactics, and risk mitigation strategies • Design, build, and maintain Snowflake tables, views, and data pipelines to support risk detection workflows • Write SQL queries to extract, transform, and analyze risk-related data at scale • Create and optimize data models that enable real-time and batch risk scoring • Develop Python scripts to automate data collection, analysis, and reporting processes • Leverage AI tools (including LLMs) to enhance fraud detection capabilities and generate risk insights • Collaborate with data science teams to implement machine learning models for anomaly detection • Use AI-assisted analysis to identify patterns in unstructured data (emails, user behavior, device fingerprints) • Continuously refine AI-powered detection rules based on feedback and emerging threats • Effectively communicate risk findings to technical and non-technical audiences across the organization • Document risk assessments, investigation findings, and rule changes in a clear, actionable manner • Work collaboratively with eCommerce, Sales, Legal, and Security teams to improve CrowdStrike's overall risk posture • Monitor the risk engine and Slack channels for real-time alerts and triage incidents as they unfold • Diagnose and respond to risk engine failures, false positives, and system anomalies • Review daily risk metrics and dashboards to identify trends and areas for improvement • Proactively identify vulnerabilities in the customer onboarding process and recommend mitigations

• Provide day-to-day leadership of AI and automation strategy, planning, and execution • Serve as a strategic thought partner to the CTO and ELT • Establish a clear AI roadmap and execution cadence • Build, lead, and develop a high-performing cross-functional AI organization • Oversee and enhance communication of all AI and automation reporting • Own the design and governance of AI/automation platforms • Develop and maintain key AI performance indicators (KPIs) • Partner with product, operations, and client-facing teams • Champion AI adoption and literacy across the organization • Participate as a core leader within the technology and executive management teams

• Develop MLIR-based graph representations and optimizations for future GPU architectures • Partner with framework and hardware teams to enable new model patterns and upcoming GPU architectural features • Define APIs and MLIR dialects, conduct performance optimizations and analysis, implement compiler optimizations and kernel generation for neural networks, and contribute to other general software engineering work