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.
The Core Infrastructure - Identity & Organizations (Core IO) pillar owns the foundational substrate for identity, access, organizations, and platform integrity at Klaviyo. We manage the critical path of the user journey from login, to enforcing permissions, to operating within the correct organization and regional context so that the rest of the platform can move fast and stay secure.
Within Core IO, the Organizations team owns the data model and platform APIs that define what a customer's account looks like inside Klaviyo and what it is allowed to do. We build and operate the services that power multi-account experiences, enterprise account hierarchies, organization-level lifecycle and policy enforcement, and the onboarding and settings layer for every customer. Our systems are foundational dependencies for nearly every product team at Klaviyo.
Why this role is exciting- Shape Klaviyo's enterprise organization platform: We are designing and shipping the multi-level organization hierarchy that large, multi-brand enterprise customers need-platform work that will define how Klaviyo serves its most strategic customers for years to come.
- Unlock global scale and compliance: Your work directly supports Klaviyo's international expansion and compliance requirements-including Data Residency for customers worldwide
- Platform-level leverage: The organization and account services your team owns are called by analytics, billing, messaging, identity, and nearly every product surface. Well-designed APIs or data models from this team multiplies engineering velocity across the company.
- Deep domain and systems learning: You will get hands-on exposure to distributed systems, complex data modeling, tenant and hierarchy management, organization-level policy evaluation, and full-stack development across Go services, Python APIs, and React frontends-with mentorship and meaningful ownership.
As a Software Engineer II on the Organizations team, you will:
- Own features end-to-end across design, implementation, rollout, and observability for core account and organization capabilities such as hierarchy management, account lifecycle, organization-scoped settings, and multi-account experiences for agencies and enterprise customers.
- Help build and evolve the organization hierarchy platform: Design and implement the APIs, data models, and services that represent multi-level enterprise structures, including hierarchy traversal and event-driven lifecycle for downstream systems.
- Contribute to organization-level policy infrastructure: Help design and extend the system that determines what an account is capable of-translating organization status, plan entitlements, and compliance requirements into clear, auditable answers for the rest of the platform.
- Support Data Residency and compliance initiatives: Build organization-aware primitives that help Klaviyo route data and enforce region-specific and compliance requirements at the account level.
- Contribute to service extraction and platform migration: Help move core account and organization logic from our legacy monolith into dedicated services and client libraries-unlocking faster iteration and stronger contracts for product teams.
- Define and refine standards for how the rest of the platform interacts with organization data-API contracts, event schemas, audit logging patterns, and integration conventions-so teams across Klaviyo don't solve these problems independently.
- Collaborate closely with partner teams: Work with Identity & Access Management (IAM) to ensure organization policies and identity permissions compose cleanly, and with Platform Integrity & Protection (PAA) on lifecycle controls that support account security and anti-abuse.
- Build and maintain shared contracts and SDKs so other product teams can consume organization data and policies safely, making correct usage the path of least resistance.
- Improve reliability and performance of organization services by instrumenting metrics and alerts, debugging production issues, and contributing to on-call rotations and incident reviews.
You are a mid-level software engineer who has shipped and supported production systems, and who is excited about data modeling, platform APIs, and building infrastructure that other engineers depend on.
- Experienced systems builder: You have 2-5+ years of professional software engineering experience, including building and operating backend or full-stack services in production.
- Strong fundamentals and debugging skills: You are comfortable reasoning about data models, API design, concurrency, and failure modes, and you can dig through logs, metrics, and traces to identify root causes and implement systemic fixes.
- Domain modeling and platform mindset: You enjoy modeling complex real-world entities-accounts, organizations, hierarchies, lifecycle states-as well-typed data structures and APIs that other teams can rely on. You like building reusable services and internal libraries that raise the floor for correctness and consistency across the organization.
- Breadth across the stack: You are comfortable contributing across backend services, internal APIs, and product-facing frontend surfaces. You may have a home base in one layer, but you are not intimidated by the others.
- Ownership and collaboration: You take responsibility for outcomes, not just code. You are comfortable driving a project end-to-end, partnering with teams across the pillar, and communicating trade-offs clearly in design docs and pull requests.
- 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.
- 2-5+ years of professional software engineering experience.
- Proficiency in at least one of Python, Go, or TypeScript/JavaScript, and comfort working on backend and/or service-oriented systems, including web services or APIs backed by relational databases and/or caches (e.g., MySQL, Postgres, Redis).
- Strong intuition for data modeling and API design, including thinking through correctness, backward compatibility, and how downstream consumers will use your interfaces.
- Exposure to CI/CD pipelines and modern development workflows (code review, testing, deployments, on-call participation or support).
You don't need all of these, but experience in any of the following is a bonus:
- Experience with hierarchical or graph-structured data models (e.g., tree structures, parent-child relationships, org charts) and the consistency and performance challenges they introduce.
- Familiarity with multi-tenancy patterns in SaaS products, including data isolation, tenant-scoped configuration, and cross-tenant operations.
- Working with cloud-native infrastructure (AWS, Kubernetes, Terraform, or similar) and building services designed to run at scale.
- Exposure to compliance or data residency requirements (GDPR, regional data isolation) and how they shape platform and data architecture decisions.
- Familiarity with observability stacks (Grafana, Datadog, Splunk) and using them to drive reliability improvements.
- Interest or experience in adjacent Core IO domains like Identity & Access Management or Platform Anti-Abuse, especially where they intersect with account security, access control, and organization-level policy.
Many of these you'll use on day one; others you'll have opportunities to learn:
- Languages & frameworks: Python, Django, Go, TypeScript/React.
- Infrastructure & platform: AWS, Kubernetes, Terraform, internal service platform for organizations and identity.
- Data & observability: MySQL, Redis, Kafka/event-driven messaging, Grafana, Splunk, internal logging and metrics pipelines.
Klaviyo is a world-leading marketing automation platform that helps online businesses grow by building direct, high-fidelity relationships with their customers over owned channels like email, SMS, and web. We make it easy for brands to store, access, analyze, and act on their data to power highly targeted communications and long-term customer value.
This is a full-time, onsite role based at Klaviyo's headquarters in Boston, MA.
Klaviyo is committed to building a diverse and inclusive team and does not tolerate discrimination, harassment, or retaliation of any kind.
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.
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Klaviyo Boston, Massachusetts, USA Office




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