Job Description
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.
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 167000 customers billions of consumer profiles and hundreds of billions of customer messages and follow-on conversion data. We are building state-of-the-art AI and machine learning technologies at Klaviyo to power marketing agent service agent and personalization products such as smart send time audience optimization and product recommendations.
As a Machine Learning Platform Engineering Manager you will lead a team of engineers building the core platforms tools and infrastructure that ML and AI engineers rely on to create advanced agents and models powering Klaviyo’s products. Your team will own platforms for training and deploying models and scaling systems that must operate reliably at Klaviyo’s data and traffic scale.
This is a backend-heavy hands-on technical leadership role. You will manage and grow engineers shape the technical roadmap for ML Platform and collaborate closely with product ML data science and infrastructure partners to deliver durable high-leverage platforms that accelerate AI development across Klaviyo.
This role is hybrid and based in Boston.
How You’ll Make an Impact
- Enable AI / ML teams across Klaviyo to ship new models and ML-powered features faster more safely and more reliably.
- Evolve our ML and LLM platform architecture so teams can build evaluate and operate production ML systems with consistent patterns and best practices.
- Improve reliability observability and cost efficiency of ML training inference and other ML workloads that serve features like smart send time audience optimization and product recommendations.
- Raise the bar on engineering and operational excellence for systems that support 167K+ customers and billions of events.
- Build and grow a high-performing inclusive engineering team that operates with ownership curiosity and strong customer focus.
What You’ll Do
- Lead coach and grow a team of software / ML platform engineers (typically 6–10+ direct reports).
- Set clear goals provide regular feedback and support career development aligned with Klaviyo’s Engineering Career Architecture.
- Stay hands-on with the technology: participate in design reviews code reviews and occasionally ship code for critical paths or prototypes.
- Partner with product and technical leaders to define and evolve the ML Platform strategy and roadmap balancing short-term delivery with long-term platform investments.
Learn more about the team’s work in our blogs on Ray Jobs & Ray Tune.
Who You Are
We encourage candidates to apply even if they do not meet all the qualifications listed. ML Platform and MLOps are rapidly evolving spaces and we are all constantly learning.
- 7+ years of experience as a software engineer ML platform engineer or similar building backend or distributed systems.
- 2+ years of experience in a formal people leadership role
- Demonstrated experience launching and operating AI/ML systems in production at scale
- Strong proficiency in Python (or a similar backend language such as Go Java or Scala).
- Experience with cloud infrastructure and platform fundamentals (AWS kubernetes):
- Familiarity with data-intensive systems: streaming or batch processing data modeling and designing systems with large-scale data in mind (spark ray-data).
- Comfortable collaborating with cross-functional technical partners (ML product infra security).
- Strong communication skills and a track record of driving clarity and alignment across teams.
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.
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 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.
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.
Skills Required
- 7+ years of experience as a software engineer ML platform engineer or similar building backend or distributed systems
- 2+ years of experience in a formal people leadership role
- Demonstrated experience launching and operating AI/ML systems in production at scale
- Strong proficiency in Python or a similar backend language
- Experience with cloud infrastructure and platform fundamentals (AWS Kubernetes)
- Familiarity with data-intensive systems (streaming or batch processing data modeling)
- Strong communication skills and a track record of driving clarity and alignment across teams
What the Team is Saying
What We Do
Klaviyo (NYSE: KVYO) is the B2C CRM. Powered by its built-in data platform and AI Klaviyo combines marketing automation analytics and customer service into one unified solution making it easy for businesses to know their customers and grow faster. Klaviyo (CLAY-vee-oh) helps over 183000 brands like Mattel Glossier Daily Harvest and Liquid Death deliver 1:1 experiences at scale improve efficiency and drive revenue.
Why Work With Us
We refer to our employees as ‘Klaviyos’ and we make up a diverse community united around shared values: We’re curious collaborative driven innovative fun and fully ourselves at work. No matter which team you join your work won’t just impact Klaviyo. It’ll help empower our customers and enable creators across the globe to own their destinies.
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Klaviyo Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
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Date Posted
05/24/2026
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