Senior Vice President, Product Reliability Engineering

Key Responsibilities

• Define and lead enterprise-wide reliability engineering strategy, frameworks, and standards (e.g., SLOs, error budgets, reliability governance).
• Drive consistent adoption of reliability practices across product and platform engineering teams.
• Operate effectively in a highly matrixed environment with strong cross-functional influence.
• Incorporate GenAI tooling and agentic capabilities to strengthen reliability outcomes across monitoring/alerting, rapid incident response, change management/testing, and DevOps/deployment processes.
• Drive adoption of agentic workflows that reduce operational load and accelerate restoration, triage, diagnostics, and remediation execution.
• Advance GenAI capabilities that improve deployment safety and testing rigor, enabling faster change with maintained operational resilience.
• Establish expectations for AI Observability and instrumentation for AI systems, partnering with relevant engineering teams to operationalize monitoring and lifecycle management.
• Partner across technology teams to accelerate productivity through GenAI, including enabling defined classes of work to be implemented end-to-end by AI agents where appropriate.
• Provide executive leadership during high-severity incidents, including rapid decisioning, cross-team mobilization, and stakeholder communication.
• Ensure strong post-incident learning loops and systemic engineering remediation.
• Own reliability-enabling platforms and tooling (automation, resilience validation, deployment safety mechanisms, reliability guardrails) used by engineering teams to operate safely at scale.
• Lead performance and scalability engineering initiatives across products and platforms to ensure systems meet latency, throughput, and efficiency requirements.
• Partner with product, platform, and infrastructure leaders to embed reliability as a design requirement (not a downstream function).
• Establish operating rhythms and governance mechanisms that balance speed of delivery with reliability and risk management.
• Own ITDR strategy and operational readiness to ensure systems meet recovery objectives and resilience requirements.
• Lead resilience planning and execution across critical services and dependencies.

Qualifications

• 15 or more years of relevant work experience with a Bachelor’s Degree or at least 12 years of work experience with an Advanced degree (e.g. Masters/MBA/JD/MD) or a minimum of 10 years of work experience with a PhD.
• 15+ years of experience in large-scale, mission-critical environments.
• Experience leading global engineering or infrastructure teams.
• Expertise in ITDR, resilience architecture, and reliability frameworks.
• Experience in regulated / high-availability industries.
• Deep knowledge of distributed systems and resilience patterns.
• Experience incorporating GenAI tooling and agentic capabilities into operational and reliability workflows (especially monitoring/alerting, response, change management/testing, and DevOps/deployment).
• Familiarity with AI Observability and instrumentation approaches for AI systems.