Lead People Systems Engineer

United States Digital Space LLC

San Francisco (CA)

On-site

USD 140,000 - 210,000

Full time

14 days+

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Job summary

Klaviyos is seeking an Lead People Technology Engineer to pioneer AI-first systems across the employee lifecycle. You will design AI-powered workflows, copilots, and agents that automate and augment People processes from recruiting to development, while partnering with Security, Legal and Global IT to ensure responsible AI deployment.

You will shape architecture and standards, collaborate with People Ops, Talent, and Finance, and translate business problems into scalable AI solutions that drive

Qualifications

  • 5+ years of engineering or data engineering experience.
  • 2+ years building AI/ML or LLM-powered solutions.
  • Experience integrating with enterprise SaaS HRIS/ATS.

Responsibilities

  • Reimagine recruiting, onboarding, performance, and daily tasks with AI-first workflows.
  • Design and build AI-powered copilots and agents for People processes.
  • Architect systems integrating Workday, Greenhouse, Sana, and internal platforms.
  • Set and maintain standards for AI governance, security and observability.
  • Translate business problems into scalable AI solutions with stakeholders.

Skills

Python
SQL
APIs
OpenAI
Claude
Gemini
LangChain
LangGraph
Copilots
AI/ML
Enterprise SaaS

Tools

Workday
Greenhouse
Sana

Job description

At the company, we value the unique backgrounds, experiences and perspectives each the company (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 the company? Visit the company.com/careersto see how we empower creators to own their own destiny.


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


Lead People Technology Engineer

We’re looking for a 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 the company.


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 the company 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

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 the company’s broader tech ecosystem

  • Act as a key voice in shaping how the company becomes AI‑first internally, starting with People systems

What Makes You a Great Fit

  • Passion and Curiosity to experiment and reimagine People workflows

  • 5+ 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

Bonus Points

  • 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

Why This Role Matters at the company

This is a foundational role in defining how the company 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.


Massachusetts Applicants:

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.


Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job‑related skills, relevant experience, education or training, and work location.


In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign‑on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility.


Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.


Base Pay Range For US Locations:

$140,000—$210,000 USD


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. Travel is coordinated in advance.


Get to Know the company

We’re the company (pronounced clay-vee-oh). We empower creators to own their dest

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