At a Glance
- Tasks: Lead the design of AI-powered backend systems for 167K+ customers.
- Company: Join Klaviyo, a dynamic tech company empowering creators.
- Benefits: Enjoy competitive salary, bonuses, equity, and comprehensive health benefits.
- Why this job: Make a real impact in AI and machine learning while mentoring future tech leaders.
- Qualifications: 7-10 years in software engineering with a focus on AI/ML and backend systems.
- Other info: Thriving startup culture with opportunities for growth and innovation.
The predicted salary is between 48000 - 72000 ÂŁ per year.
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 careers.klaviyo.com to see how we empower creators to own their own destiny.
Lead Software AI Engineer
At Klaviyo, we believe the future of software lies not in productivity tools for human users but in software that can run and optimize itself based on outcome or reward metrics. We’ve built the infrastructure and application that serve as the interface between businesses and consumers. We now have over 167,000 customers, billions of consumer profiles, and hundreds of billions of customer messages and follow-on conversion data. We have a big opportunity to build state-of-the-art AI and machine learning technologies at Klaviyo to power our products and develop AI agents that can automatically create and execute marketing or customer experiences, strategies, and campaigns for any business.
As a Lead Software AI Engineer at Klaviyo, you’ll set technical direction and drive the design of scalable backend systems and AI-powered user experiences that form the foundation of our AI product strategy. You’ll work closely with product managers, machine learning engineers, and data scientists while mentoring engineers and shaping architectural decisions. This is a backend-heavy leadership role with a strong focus on applied AI/ML, including large language models (LLMs) and agentic AI systems.
How You Will Make a Difference
Lead the design and development of backend systems that enable scalable AI solutions for 167K+ customers.
Architect robust, reliable, and scalable data pipelines that train and serve AI/ML models at scale.
Drive the integration of LLMs into production systems, powering AI agents that create and execute real-time customer experiences.
Establish best practices for model evaluation, monitoring, and performance across generative and agentic AI use cases.
Mentor and guide engineers, fostering a culture of technical excellence, ownership, and customer-centric product thinking.
Partner with cross-functional leaders to influence AI product strategy and deliver high-impact solutions.
Who You Are
7–10 years of professional software engineering experience, with a strong focus on backend systems and distributed architectures.
Recent, hands-on experience with AI/ML and LLMs, including fine-tuning, evaluation, and production deployment.
Proven ability to design and scale distributed systems that support AI-driven applications and agent capabilities.
Proficient in Python and modern backend frameworks (FastAPI, Django preferred).
Skilled with big data tools (Apache Spark, Hadoop) and distributed task queues (Kafka, Celery, SQS, RabbitMQ, Redis).
Experienced in architecting APIs and cloud-native solutions (AWS, Kubernetes, CI/CD pipelines).
Demonstrated technical leadership — mentoring engineers, shaping architecture, and raising the bar for engineering practices.
Thrives in a fast-paced, startup-like environment with high autonomy and ownership.
Curious, adaptable, and motivated to stay on the cutting edge of AI/ML research and apply it to real-world business challenges.
Nice to Have
Experience training and deploying reinforcement learning systems.
Prior experience leading cross-functional initiatives involving data science, ML engineering, and product.
We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.
Please see the independent bias audit report covering our use of Covey here
Our salary range reflects the cost of labour in the country where the job post is advertised. 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. Please visit Klaviyo Rewards – Global Benefits to find out more about our Total Rewards package.
Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.
Base Pay Range in Local Currency:
Get to Know Klaviyo
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.
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 Noticehere and here (FR).
#J-18808-Ljbffr
Lead AI Engineer employer: Klaviyo Inc.
Contact Detail:
Klaviyo Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Engineer
✨Tip Number 1
Network like a pro! Reach out to current Klaviyos on LinkedIn, join relevant groups, and attend industry meetups. Building connections can give you insider info and might even lead to a referral.
✨Tip Number 2
Prepare for the interview by diving deep into Klaviyo's products and AI initiatives. Show us that you’re not just another candidate; demonstrate your passion for what we do and how you can contribute to our mission.
✨Tip Number 3
Practice your technical skills! Brush up on Python and backend frameworks, and be ready to discuss your experience with AI/ML. We want to see how you think and solve problems, so don’t hold back!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the Klaviyo crew.
We think you need these skills to ace Lead AI Engineer
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight how your experience aligns with the Lead AI Engineer role. We want to see how your unique background can contribute to our mission at Klaviyo!
Showcase Your Skills: Don’t just list your skills—demonstrate them! Use specific examples from your past work that showcase your expertise in AI/ML, backend systems, and any relevant projects. This helps us see your potential impact.
Be Authentic: We value authenticity, so let your personality shine through in your application. Share your passion for AI and how you envision contributing to Klaviyo’s innovative environment. We’re excited to get to know the real you!
Apply Through Our Website: For a smooth application process, make sure to apply directly through our careers page. This ensures your application gets to the right people and helps us keep track of all applicants efficiently!
How to prepare for a job interview at Klaviyo Inc.
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and machine learning, especially large language models. Be ready to discuss your hands-on experience with these technologies and how you've applied them in real-world scenarios.
✨Showcase Your Leadership Skills
As a Lead AI Engineer, you'll need to demonstrate your ability to mentor and guide others. Prepare examples of how you've shaped architectural decisions or fostered a culture of technical excellence in previous roles.
✨Understand Klaviyo's Mission
Familiarise yourself with Klaviyo's goals and how they empower creators. This will help you align your answers with their mission and show that you're genuinely interested in contributing to their vision.
✨Prepare for Technical Questions
Expect to dive deep into backend systems and distributed architectures. Brush up on your Python skills and be ready to discuss your experience with big data tools and cloud-native solutions, as these are crucial for the role.