Lead People Systems Engineer

United States·Bostonlead

Systems EngineerInfrastructure & Cloud

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Quick Summary

Overview

At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day.

Technical Tools

Systems EngineerInfrastructure & Cloud

At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.

Klaviyo is building an AI-first company—and that starts with how we support and scale our people.

We’re looking for a Lead People Technology Engineer to be the first dedicated AI engineer within our People Technology (KPPL) team. As an early leader in this space, you’ll reimagine how our People teams operate in an AI-first world by shaping our architecture, standards, and long-term vision.

You’ll partner across People Operations, Talent Acquisition, Talent, and Finance to design and build intelligent systems that transform how we hire, develop, retain, and support Klaviyos globally. This role is not just about applying AI it’s about defining how AI becomes embedded into the employee lifecycle at Klaviyo.

What You’ll Be Doing

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
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, 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

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

Passion and Curiosity to experiment and reimagine People workflows
7+ years of engineering or data engineering experience, with 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 but not limited to:

Python, SQL, and modern APIs
LLM platforms (OpenAI, Claude, Gemini, etc.)
LangChain and LangGraph
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

Nice to Have

~1 min read

Experience with People/HR systems (Workday, Greenhouse, Sana)
Familiarity with workflow automation platforms (e.g., n8n, Workato, Zapier)
Experience in high-growth SaaS environments
Contributions to AI governance, internal AI platforms, or experimentation frameworks

This is a foundational role in defining how Klaviyo becomes an AI-first company from the inside out.

You won’t just be implementing AI you’ll be:

Shaping how People teams operate with AI
Defining standards for responsible, scalable internal AI systems
Building the blueprint for how AI is embedded across the business

If you’re excited about building from scratch, influencing across functions, and applying AI to core business workflows, this role offers a unique opportunity to have outsized impact.

What We Offer

~2 min read

We’re Klaviyo (pronounced clay-vee-oh). 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.

By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice.

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.

IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.

By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).