2h ago
New
$180,000 — $270,000 USD/yr

Senior Lead AI Engineer - G&A Systems

United StatesUnited States·San Franciscosenior
Machine Learning EngineerData
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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
Machine Learning EngineerData

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 Senior Lead AI Finance Technology Engineer to be the first dedicated AI engineer within our Finance Technology (G&A FinTech) team. As an early leader in this space, you’ll reimagine how our Finance teams operate in an AI-first world by shaping our architecture, standards, and long-term vision.

You’ll partner across all Finance functions - Accounting, Tax, Treasury, FP&A, Procurement, and Internal Audit, as well as adjacent technology teams like Corporate IT, Data, and GTM Systems, to ensure our back‑office stack is reliable, well‑integrated, compliant, and ready for a public, AI‑forward SaaS business. We own the roadmap, health, and governance of platforms including our ERP and financial systems (e.g., NetSuite/Oracle), procure‑to‑pay (e.g.,Zip), revenue and billing systems, and related integrations and automation. This role is not just about applying AI it’s about defining how AI becomes embedded into the Finance at Klaviyo.

What You’ll Be Doing

  • Reimagine core Finance workflows (accounting, procurement, deal desk approvals, revenue, ME/QE close cycle etc., ) through an AI-first lens, not just incremental automation
  • Design and build AI-powered workflows, copilots, and agents that automate and augment Finance processes
  • Architect and implement systems that integrate across SaaS such as NetSuite, Zip, Zone Advanced Billing, Avalara/Vertex to name a few
  • 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 Finance 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
  • Act as a thought partner to Finance leadership on what’s possible with AI, not just what’s requested
  • Responsible AI, Privacy & Governance: Design systems that handle sensitive financial data with security, privacy, and trust at the core
  • Partner with Internal Audit, Security, Legal, and Global IT to ensure compliant and ethical AI deployment
  • Work closely with Security, Global 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 Finance 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 Finance systems
  • Passion and Curiosity to experiment and reimagine Finance workflows
  • Minimum 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:
    • React, JSON, Python, SQL, and modern APIs
    • LLM platforms (OpenAI, Claude, Gemini, etc.)
    • Designing AI-powered workflows, agents, or copilots
    • Integrating to Finance Systems through Runlayer and MCPs
  • Experience integrating with enterprise Financial SaaS systems
  • Experience designing scalable and secure 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 Financial systems - NetSuite, Zip, Avalara/Vertex, Zone Advanced Billing  or equivalent systems
  • Familiarity with SOX & ITGCs
  • Familiarity with middleware 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 Finance  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).
 

Location & Eligibility

Where is the job
San Francisco, United States
On-site at the office
Who can apply
US

About this job

Pay per year
$180,000–$270,000 a year
7% above the $210,000 median for Machine Learning Engineer jobs on Jobera (894 salaries).
Who can apply
United States
Posted
Today
Employer
has 162 open jobs on Jobera in 6 countries.

Listing Details

Posted
October 26, 2026
First seen
October 26, 2026
Last seen
October 26, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
79%
Scored at
October 26, 2026

Signal breakdown

freshnesssource trustcontent trustemployer trust

We help businesses of every size — from entrepreneurs to iconic brands.

Employees
501-1,000
Founded
2012
View company profile
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Senior Lead AI Engineer - G&A Systems$180,000 — $270,000 USD