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.
About the Role
Our team is looking for a Senior Full Stack Engineer to help build the future of Customer Agent Klaviyo’s AI-native conversational platform. In this role you’ll play a critical part in shaping how autonomous service AI-driven support and agentic commerce experiences evolve at scale across millions of customer interactions.
You’ll work across the stack to design build and scale systems that power intelligent workflows conversational experiences tools integrations retrieval systems onboarding flows observability and multi-channel customer engagement. You’ll help develop both foundational platform capabilities and customer-facing experiences that enable brands to launch customize and continuously improve their own highly-configurable AI agents.
As a Senior Engineer you’ll tackle complex technical and product challenges develop multiple solution paths and evaluate business and architectural trade-offs to determine the best approach. You’ll also act as a technical leader and mentor driving engineering quality execution and decision-making across projects. Additionally you’ll be responsible for deploying well-designed thoroughly tested solutions that prioritize reliability scalability and customer impact.
The Customer Agent team is building one of Klaviyo’s most ambitious and strategic product areas: an extensible AI platform that enables brands to deliver personalized autonomous customer experiences across channels like chat email SMS and beyond. We operate with high ownership rapid iteration cycles and a strong bias toward execution. Every engineer is expected to think holistically about customer outcomes collaborate deeply across engineering product design data science and go-to-market teams and push beyond traditional role boundaries to help the team move faster.
Success in this role means shipping high-quality systems quickly contributing to foundational platform decisions improving the intelligence and reliability of our agent experiences and helping define how AI-powered customer engagement evolves at Klaviyo.
What We’re Looking For
- A proven track record of building high-quality products and systems with pride in writing clean maintainable high-quality code.
- 7+ years of experience in a software engineering role.
- Strong experience developing end-to-end software solutions or extensive experience across both front-end and back-end technologies.
- Experience building scalable customer-facing systems in fast-moving product environments - we operate like a startup inside of Klaviyo.
- Experience leading projects and being accountable for technical and business outcomes.
- Experience mentoring team members or driving initiatives that help the team grow and learn new skills.
- Experience conducting code reviews and maintaining a robust testing and deployment cycle.
- Curiosity and enthusiasm for AI-native product development including practical experience experimenting with LLMs AI tooling or agentic workflows in professional or personal projects.
- Excitement about leveraging AI to improve engineering velocity customer experiences and operational workflows.
- A strong product mindset and willingness to collaborate cross-functionally to solve ambiguous problems with urgency and pragmatism.
Nice to Have
- Skills with Python and related technologies.
- Skills with React and related technologies.
- Experience building conversational AI systems workflow engines or agentic platforms.
- Experience with retrieval systems embeddings eval frameworks or LLM orchestration patterns.
- Experience building cloud-native solutions ideally with AWS.
- Experience developing customer support commerce marketing or customer data software solutions.
- Experience with machine learning systems or AI infrastructure.
- Experience building multi-tenant or highly configurable SaaS platforms.
- Familiarity with observability tracing experimentation or AI quality/evaluation tooling.
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.
#indeedRD
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 in a software engineering role.
- Proven track record building high-quality products and systems; writing clean maintainable code.
- Strong experience developing end-to-end software solutions or across both front-end and back-end technologies.
- Experience building scalable customer-facing systems in fast-moving product environments.
- Experience leading projects and being accountable for technical and business outcomes.
- Experience mentoring team members or driving initiatives that help team growth.
- Experience conducting code reviews and maintaining a robust testing and deployment cycle.
- Practical experience experimenting with LLMs AI tooling or agentic workflows.
- Strong product mindset and willingness to collaborate cross-functionally to solve ambiguous problems.
- Python (nice to have).
- React (nice to have).
- Experience building conversational AI systems workflow engines or agentic platforms (nice to have).
- Experience with retrieval systems embeddings eval frameworks or LLM orchestration patterns (nice to have).
- Experience building cloud-native solutions ideally with AWS (nice to have).
- Experience with machine learning systems or AI infrastructure (nice to have).
- Experience building multi-tenant or highly configurable SaaS platforms (nice to have).
- Familiarity with observability tracing experimentation or AI quality/evaluation tooling (nice to have).
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.
Gallery
Klaviyo Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Similar Jobs
Klaviyo
Lead Product Designer
Klaviyo
Artificial Intelligence Engineer
Klaviyo
Senior Software Engineer
Klaviyo
Business Development Representative
Explore More
Date Posted
06/05/2026
Views
0
Similar Jobs
Software Engineer II of Marketplace Middleware Engineering -
Views in the last 30 days - 0
View DetailsLead Software Engineer, DevOps / MLOps (Agentic Workflows, AI/ML Guardrails, Kubernetes, Python, AWS) -
Views in the last 30 days - 0
View Details



