• Drive the end-to-end delivery of initiatives that transform how physical security solutions are provided to employees and guests globally. • Support the Security Enablement Engineering team in the deployment and configuration of automated systems. • Work daily with Workplace, IT, Legal, and HR to ensure security workflows align with company-wide priorities. • Conduct research and help build business cases for new security vendors, tools, and operational efficiencies. • Maintain and update global standards for physical security systems, ensuring consistency in user experience across all office locations. • Collect and analyze data from security systems and employee feedback to report on program effectiveness and KPIs. • Assist in running pilot programs and design sprints, incorporating stakeholder feedback to iterate on security processes. • Act as the central point of contact for project-specific coordination between operations, engineering, and site-level teams.

• Protect enterprise technology environments by designing, implementing, and operating cybersecurity controls • Deliver threat detection and monitoring capabilities • Conduct vulnerability management and incident response support • Provide security architecture guidance and risk assessment activities • Strengthen operational security through policy enforcement and network segmentation

• Serve as the strategic technical leader responsible for advancing the enterprise data protection program • Develop the data protection roadmap, translating governance priorities into technical initiatives • Lead the design and implementation of security controls that protect sensitive data across endpoints, cloud services, collaboration platforms, and AI systems • Identify risks, define long-term capabilities, and develop the technical roadmap required to protect sensitive information across the enterprise • Collaborate with cross-functional stakeholders to ensure sensitive data is properly owned, classified, governed, and protected

• Build and improve security-focused ML models for Reddit’s GenAI traffic, including guardrail models, semantic classifiers, anomaly detection models, and other neural network based security signals. • Own model development end to end: define the security problem, assemble and label datasets, build ETL pipelines, engineer features, train models, evaluate quality, deploy to production, monitor performance, and retrain from production feedback. • Use modern deep learning architectures, including neural networks, transformers, sequence models, embeddings, and model distillation where they are the right practical fit. • Design rigorous evaluation suites for adversarial examples, hard negatives, long-context inputs, structured payloads, tool calls, multi-turn workflows, and real production traffic. • Improve model precision, recall, latency, cost, calibration, and operational reliability for high-impact production surfaces. • Build repeatable MLOps workflows for SPACE, including training pipelines, model lineage, artifact management, holdout evaluation, dashboards, rollback paths, and retraining loops. • Partner closely with ML Infrastructure, LLM Gateway, DevX, Ads, Answers, Safety, Privacy, Compliance, and other Security teams to bring security models into real production workflows. • Work pragmatically with Reddit’s evolving ML platform, using existing infrastructure where possible and building focused tooling when needed to keep model iteration moving. • Translate security goals into measurable model outcomes and help partners understand tradeoffs between risk reduction, latency, false positives, and product impact. • Provide technical direction to other engineers and serve as a go-to ML expert for GenAI Security and broader SPACE model needs.