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.
Why You Should Join the AI Enablement Team
Join our dynamic AI Enablement team and play a pivotal role in accelerating our engineering organization's velocity and innovation. As a Sr. Software Engineer, you'll be instrumental in building the "paved paths" that make it seamless and efficient for every engineer to leverage the power of Artificial Intelligence throughout the Software Development Lifecycle (SDLC). We are looking for an experienced Full Stack Engineer with a deep passion for using AI and automation to solve complex, large-scale problems.
What You'll Achieve: Key Responsibilities
You will be the driving force behind AI adoption across our engineering teams, focusing on tangible, impactful outcomes:
- Technical Leadership: Act as a subject matter expert for AI-driven engineering tools, mentoring other engineers and championing a culture of AI-first development.
- Build Paved Paths: Design, implement, and maintain robust, scalable full-stack platforms and tools that allow other engineers to easily integrate and utilize AI services and capabilities within their projects.
- Drive Automation: Identify high-leverage opportunities to apply AI for automating engineering processes, such as code generation, testing, deployment, and operational tasks, to dramatically improve engineering efficiency and velocity at scale.
- Establish Best Practices: Define the standards, patterns, and architectural guidance for responsible and effective AI enablement, ensuring reliability, security, and performance.
- Cross-Functional Collaboration: Partner closely with Product, Machine Learning, and other Engineering teams to understand needs, gather requirements, and deliver production-ready solutions.
What Makes This Role Exciting
- Hot Start & High Impact: You won't be on a "listening tour." Your first 90 days will involve tackling tangible projects that provide an immediate impact on engineering productivity.
- Shape the Future: You will be at the forefront of defining how a rapidly growing engineering organization utilizes generative AI and ML to operate more effectively.
- Ownership and Ambition: You will have significant ownership over the tools and platforms you build, solving complex, open-ended problems that directly contribute to our company's ambition and growth.
Who You Are:
- 5+ years of full stack development experience.
- Hands-on experience with one or more front end technologies (React, TypeScript, Angular, Vue, etc.)
- Strong experience with specific AI/ML frameworks or platforms (e.g., PyTorch, TensorFlow, LangChain, Claude, Gemini, Copilot).
- Prior experience in a high-growth environment, navigating technical complexity and change.
- Experience with Python / Django or similarly typed languages.
- Experience with designing and managing scalable databases.
- Experience building and maintaining complex software. You’ll join us in writing clean, maintainable software that solves hard problems. You’ll write testable, quality code. You’ll push the team and the mission forward with your contributions.
- Strong experience with AWS services, how to stand up infrastructure, and monitor for defects.
- Hands-on experience with building REST APIs, GraphQL, and other middleware development tools.
- You’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast. You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.
Technologies we use (not exhaustive):
- Python, Django, Celery
- MySQL, Redis, Pulsar
- Amazon Web Services (EC2, RDS, Aurora, etc.), Kubernetes, Terraform, and other DevOps tools
- React, TypeScript, JavaScript, HTML, CSS
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
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.
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.
Top Skills
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 183,000 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.
