Lead People Systems Engineer

Ai-First People Systems & Architecture

• Reimagine core People workflows (recruiting, onboarding, performance, daily tasks) through an AI-first lens, not just incremental automation
• Design and build AI-powered workflows, copilots, and agents that automate and augment People processes across the employee lifecycle
• Architect and implement systems that integrate across SaaS such as Workday, Greenhouse, Sana, and internal Klaviyo platforms
• Partner with our internal IT AI team and establish best practices for:
• Prompt engineering and evaluation
• LLM system design and orchestration
• Versioning, testing, security, and observability of AI systems
• Enable AI Use Cases (copilots, assistants, automated workflows) that drive faster execution and better decision-making for People teams

Driving an AI-First Operating Model

• Identify high-leverage opportunities to replace manual workflows with AI-native solutions
• Define and track success metrics tied to efficiency gains, time savings, and operational effectiveness
• Help the People organization shift toward AI-augmented ways of working
• Act as a thought partner to People leadership on what’s possible with AI, not just what’s requested

Responsible AI, Privacy & Governance

• Design systems that handle sensitive employee data with security, privacy, and trust at the core
• Partner with Security, Legal, and Global IT to ensure compliant and ethical AI deployment

Cross-Functional Collaboration & Enablement

• Work closely with Security, IT, and GTM Systems to align on shared AI infrastructure and standards
• Contribute to and adopt company-wide AI patterns, tooling, and best practices
• Enable People teams to leverage AI by building:
• Reusable frameworks and workflows
• Playbooks and training materials
• Help non-technical stakeholders confidently use and iterate on AI-powered tools

Technical Leadership

• Advocate for scalable, well-governed AI systems that integrate cleanly into Klaviyo’s broader tech ecosystem
• Act as a key voice in shaping how Klaviyo becomes AI-first internally, starting with People systems