Lead AI Software Engineer
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Job Location:
Boston, NH - USA
Monthly Salary:
Not Disclosed
Posted on:
18 hours ago
Vacancies:
1 Vacancy
Job Summary
Lead AI Engineer
At Klaviyo we believe the future of software lies not in productivity tools for human users but in systems that can learn run and optimize themselves based on measurable outcomes. Weve built the infrastructure and applications that power the interface between businesses and consumers supporting over 182000 customers billions of consumer profiles and hundreds of billions of customer interactions.
Now were building the next generation of AI and machine learning technologies to power these products enabling AI agents that can automatically create execute and optimize marketing and customer experience strategies for any business.
As a Lead AI Engineer youll take ownership of designing building and scaling the backend and machine learning systems that form the foundation of Klaviyos AI strategy. Youll partner closely with product managers data scientists and engineers to deliver intelligent outcome-driven systems that operate at massive scale while mentoring others and setting technical direction for the team.
How You Will Make a Difference
- Lead the design and development of backend and ML systems that scale to serve 182K customers.
- Build robust reliable and efficient data processing and model-serving pipelines that power production ML models.
- Develop and optimize predictive systems (e.g. conversion likelihood engagement ranking personalization anomaly detection).
- Architect systems and services that enable our AI agents to learn and improve autonomously from reward or outcome signals.
- Collaborate cross-functionally to translate business challenges into scalable measurable ML solutions.
- Collaborate with software engineers and product managers to turn predictive models into intuitive product features for our customers.
- Mentor engineers and help evolve Klaviyos ML engineering best practices tooling and architecture.
- Foster a culture of ownership experimentation and data-driven innovation across teams.
Who You Are
- 710 years of experience in machine learning engineering or applied software engineering with a focus on classical ML and predictive modeling.
- Deep understanding of supervised learning methods such as random forests XGBoost logistic regression and ensemble techniques.
- Proven track record of building and scaling production-grade ML systems end to end (data pipelines training deployment and monitoring).
- Experienced backend engineer comfortable with distributed systems and high-scale architectures.
- Proficient in Python and modern frameworks (FastAPI Django preferred).
- Skilled with big data and streaming technologies (Apache Spark Kafka Hadoop).
- Hands-on with asynchronous processing and distributed task queues (Celery SQS RabbitMQ Redis).
- Strong understanding of databases and ORMs (SQLAlchemy Alembic) and cloud-native architectures (AWS Kubernetes CI/CD).
- Excellent communicator who can set technical direction influence product strategy and mentor junior engineers.
- Curious pragmatic and passionate about building AI systems that drive measurable business impact.
Nice to Have
- Experience training and deploying ML models in production environments that generated measurable impact.
- Familiarity with reinforcement learning or agentic AI systems that adapt based on outcome or reward signals.
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
Required Experience:
IC
Key Skills
- Spring
- .NET
- C/C++
- Go
- React
- OOP
- C#
- Data Structures
- JavaScript
- Software Development
- Java
- Distributed Systems
About Company
Klaviyo unifies AI-powered email marketing and SMS to drive growth, retention, and measurable results. Build personalized, omnichannel experiences across WhatsApp, ecommerce, and more with K:AI Agents.
