• Lead and mentor a team of data engineers • Define and execute the Enterprise Platform Data Engineering roadmap • Architect and oversee enterprise-scale data platforms and pipelines • Partner with cross-functional stakeholders to deliver trusted data capabilities • Establish and drive DataOps best practices • Serve as the data engineering voice in executive forums

• Lead and grow an engineering organization of 8+ engineers • Serve as the primary engineering point of contact for 10+ partner teams • Drive platform thinking across the team by identifying modernization opportunities • Own engineering execution end to end • Partner closely with product, design, data science, and cross-functional engineering leaders

• Lead and grow an engineering organization of 8+ engineers responsible for checkout architecture, order management, and post-order quality. These systems are foundational to Instacart's core customer experience and directly impact conversion and reliability at scale. • Serve as the primary engineering point of contact for 10+ partner teams across the organization, managing high-volume intake, setting clear prioritization frameworks, and ensuring Order Experience remains a reliable, well-scoped dependency for every major launch at Instacart. • Drive platform thinking across the team by identifying opportunities to rebuild and modernize foundational systems without sacrificing the pace of shipping customer-facing value, and making principled trade-offs between short-term delivery and long-term architectural health. • Own engineering execution end to end: from roadmap alignment and technical strategy to team health, hiring, and career development for a high-performing group of engineers navigating a fast-moving, high-stakes domain. • Partner closely with product, design, data science, and cross-functional engineering leaders to define the future of order infrastructure to influence how Instacart scales its checkout and fulfillment systems as the business continues to grow.

• Own and continuously improve end-to-end detection, investigation, response, post-incident review, and threat intelligence-informed improvement processes, including AI-assisted triage and investigation workflows. • Lead complex and high-severity incidents with clear decision-making, effective stakeholder communication, and accountable follow-through on remediation. • Stay technically engaged in investigations across cloud infrastructure, SaaS platforms, corporate systems, user behavior, and abuse scenarios, and translate incident learnings, platform changes, and threat trends into Security Detection & Response priorities. • Define and evolve security observability and detection strategy, including telemetry onboarding, signal quality, threat intelligence inputs, alert tuning, and coverage validation. • Oversee Panther detections, MITRE ATT&CK-aligned use cases, investigation playbooks, and response automations, with measurement and validation loops for coverage, precision, latency, tuning effectiveness, safe rollout, and attack-simulation-based validation. • Transform security operations processes through practical use of AI, including designing agents and AI-native workflows for triage, enrichment, investigation, and response. • Drive Python-based tooling, CI/CD practices, and pragmatic use of AI to improve the speed, quality, and reliability of Security Detection & Response workflows. • Build, lead, and retain a high-performing remote Security Detection & Response team with clear expectations, strong onboarding, documentation, and knowledge-sharing practices. • Coach engineers to grow in technical depth, operational ownership, and leadership capability while partnering closely with Engineering, IT, Fraud, Legal, People, Support, and Product on incidents, investigations, and security improvements. • Work closely with Engineering and Infrastructure on telemetry quality, data pipelines, and operational readiness, and communicate security risk, incident impact, and remediation plans clearly to technical and non-technical stakeholders. • Define and review strategy-aligned metrics and reporting that measure Security Detection & Response effectiveness, highlight trends and gaps, and inform priorities and stakeholder decisions.