Lead People Systems Engineer at Klaviyo | CA, US | Rezi

Lead People Systems Engineer at Klaviyo

Lead People Systems Engineer

Klaviyo · CA, US

1 months ago

Lead People Systems Engineer

Klaviyo · CA, US

a month ago
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About the Role

Klaviyo is seeking a Lead People Technology Engineer to be the first dedicated AI engineer within the People Technology team. This role will reimagine how People teams operate in an AI-first world by shaping architecture, standards, and long-term vision. The engineer will partner across departments to design and build intelligent systems that transform hiring, development, retention, and support processes.

Responsibilities

  • 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, and 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
  • Collaborate with stakeholders to translate business problems into scalable AI solutions
  • 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
  • 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
  • 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
  • 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

Requirements

  • 5+ years of engineering or data engineering experience
  • 2+ years building AI/ML or LLM-powered delivering tangible business outcomes
  • Proven ability to set technical direction and build 0→1 systems with meaningful organizational impact
  • 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
  • This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events.

Skills

  • Python
  • SQL
  • Modern APIs
  • LLM platforms (OpenAI, Claude, Gemini, etc.)
  • LangChain
  • LangGraph
  • AI-powered workflows
  • AI agents
  • AI copilots
  • Enterprise SaaS integration (HRIS, ATS, etc.)
  • Scalable systems design
  • Automation frameworks
  • Internal tools development
  • Responsible AI practices
  • Prompt engineering
  • LLM system design and orchestration
  • Versioning, testing, security, and observability of AI systems

Location

  • US Locations

Work Type

  • Full-time

Experience Level

  • Lead
  • 5+ years of engineering or data engineering experience
  • 2+ years building AI/ML or LLM-powered delivering tangible business outcomes

Salary/Compensations

  • $140,000—$210,000 USD

Benefits

  • Participation in the company’s annual cash bonus plan
  • Variable compensation (OTE) for sales and customer success roles
  • Equity
  • Sign-on payments
  • Comprehensive range of health, welfare, and wellbeing benefits

About the Company

  • Klaviyo is building an AI-first company—and that starts with how we support and scale our people.
  • We empower creators to own their destiny by making first-party data accessible and actionable like never before.
  • We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond.
  • To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers.
  • If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.
  • AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop).
  • We provide accommodations as needed.

Equal Opportunity

  • Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.