About the company
Klaviyo is building an AI-first company, starting with how they support and scale their people. The People Technology team is looking for a Lead People Technology Engineer to be the first dedicated AI engineer.
Responsibilities
- Reimagine core People workflows (recruiting, onboarding, performance, daily tasks) through an AI-first lens.
- Design and build AI-powered workflows, copilots, and agents that automate and augment People processes.
- Architect and implement systems that integrate across SaaS such as Workday, Greenhouse, Sana, and internal Klaviyo platforms.
- Establish best practices for prompt engineering, LLM system design, versioning, testing, security, and observability.
- Enable AI use cases that drive faster execution and better decision-making.
- Identify high-leverage opportunities to replace manual workflows with AI-native solutions.
- Define and track success metrics tied to efficiency gains.
- Design systems that handle sensitive employee data with security, privacy, and trust.
- Partner with Security, Legal, and Global IT to ensure compliant and ethical AI deployment.
- Work closely with Security, IT, and GTM Systems to align on shared AI infrastructure.
- Build reusable frameworks, workflows, playbooks, and training materials.
- Advocate for scalable, well-governed AI systems.
Requirements
- 5+ years of engineering or data engineering experience, with 2+ years building AI/ML or LLM-powered solutions.
- Proven ability to set technical direction and build 0→1 systems.
- Strong experience with Python, SQL, and modern APIs.
- Experience with LLM platforms (OpenAI, Claude, Gemini, etc.).
- Experience with LangChain and LangGraph.
- Experience designing AI-powered workflows, agents, or copilots.
- Experience integrating with enterprise SaaS systems (HRIS, ATS, etc.).
- Experience designing scalable systems, automation frameworks, and internal tools.
- Experience working with sensitive data and implementing responsible AI practices.
- Strong ability to translate ambiguous business problems into scalable technical solutions.
Conditions
- This role is based in San Francisco, CA.
- The position offers a base salary and may include participation in the company’s equity plan.