• Secure everything from our Kubernetes clusters on the cloud to our SaaS integrations and developer workflows • Articulate and execute on a vision for security in the age of LLMs • Build internal tooling and CI/CD automations that catch vulnerabilities before they hit production • Lead threat modeling sessions and secure code reviews, ensuring secure-by-default APIs and deployments • Hardening authentication and access control across all surfaces • Proactively probe for vulnerabilities and lead remediation • Manage the Bug Bounty Program, triaging reports and driving remediation • Investigate vulnerabilities, lead incident responses, orchestrate pen testing, and run blameless postmortems

• Serve as a strategic technical advisor to enterprise clients • Bridge cybersecurity strategy, solution architecture, and commercial execution • Guide CISOs, CIOs, and executive stakeholders through solution evaluation • Translate complex technical requirements into scalable, business-aligned solution architectures

• Lead the enterprise AI Security program, defining policies, standards, and best practices. • Adopt and operationalize tools that provide visibility and control over AI access and behaviors. • Defend against prompt injection, jailbreaking, and indirect prompt injection. • Advise on methods to filter and guardrail models to prevent the generation of toxic or restricted content. • Implement methods to reduce the risk of data loss through AI. • Introduce AI security control points into the CI/CD pipeline, including securing internal codebases and the use of third-party dependencies. • Assist in the formation of the AI Center of Excellence. • Assess, build, configure and deploy solutions to detect and react to anomalous model behavior. • Provide insight into how best to position security operations to detect and respond to AI-specific breaches. • Contribute to general security architecture and engineering duties undertaken by DTM team. • Oversee data quality, metadata management, and issue remediation functions to improve data integrity and trust. • Lead enterprise-wide risk assessments relating to data management, protection, and quality. • Provide strategic leadership on data-driven transformation initiatives, ensuring governance is built into system modernization, cloud adoption, and digital initiatives.

• Lead design for security and compliance experiences – Drive end-to-end design for complex security workflows across the software supply chain, including application security scanner, dependency firewall, SBOM, malicious package detection, vulnerability triage, and agentic orchestration. Define both tactical solutions for immediate user problems and strategic patterns that connect to longer-term platform vision. • Translate technical complexity into clarity – Partner with subject matter experts to transform technical complexity into accessible, value-focused experiences for different user types—from security practitioners to developers who need security integrated seamlessly into their workflow. • Partner cross-functionally – Coordinate across multiple security product groups to align on cohesive experiences. Work closely with Product Managers and Engineering Managers to shape priorities, scope MVCs, and ensure design intent is maintained through development. • Elevate craft and quality – Demonstrate excellence in interaction design, visual design, and systems thinking. Raise the quality bar through thoughtful feedback in design reviews and by modeling high standards in your own work. • Contribute to the design system – Actively contribute to Pajamas by identifying reusable patterns, proposing new components, and ensuring your group’s work extends and adheres to system standards. • Mentor and support others – Coach Product Designers and Senior Product Designers through pairing, design critiques, and knowledge sharing. Help onboard new team members and contribute to a collective team culture. • Ground work in research – Conduct usability studies, competitor evaluations, and formative research. Collaborate with UX Research on problem validation and incorporate insights to fulfill user and business needs.