Requirements
You are passionate about building software for the long term, balancing technical quality, delivery pace, and business impact
BA or BS Degree in Computer Science, related field, or equivalent experience
You have 5+ years of hands‑on software development experience building and operating highly available, full‑stack SaaS products, with a solid understanding of modern web architectures and scalable, multi‑tenant systems
You have 3+ years of experience as an engineering manager, leading high‑performing teams that deliver complex, cross‑team initiatives using an agile, iterative approach
You are a technically curious leader with hands‑on experience using modern AI tools and workflows (e.g. OpenAI, Anthropic, Gemini, n8n) and an interest in helping teams apply them thoughtfully to improve productivity and outcomes
You are comfortable setting technical direction and standards, working with peers and senior leadership to evolve architecture, development practices, and shared engineering processes
You have experience owning work end‑to‑end – from design through delivery and deployment, including planning, estimation, and managing delivery risks
You are an effective cross‑functional communicator, able to work closely with product, design, and business partners to align priorities and move work forward
You are a people‑first leader who enjoys hiring, onboarding, mentoring, and developing engineers, creating an environment where individuals and teams can grow and do their best work
You enjoy leading teams that build internal platforms, tools, or systems that improve productivity, automation, and operational efficiency across an organisation
You like to question convention, continuously improve how work gets done, and thrive in small, autonomous teams that ship early and often in close partnership with their stakeholders
(Desirable) Experience building internal tools, platforms, or automation for developers and/or non‑technical teams
(Desirable) Hands‑on experience in full‑stack environments, including diagnosing and improving application performance
(Desirable) Strong practical experience using AI tools and patterns (e.g. APIs/SDKs, prompt and context design, automated or agentic workflows, RAG, and evaluation or monitoring)
(Desirable) Experience working with cloud infrastructure (AWS preferred), including infrastructure‑as‑code and containerised environments (Terraform and Kubernetes). Familiarity with GCP or Azure is a plus
What the job involves
The Amplify Engineering team builds internal tools, platforms, and AI‑powered automation that help Klaviyos work more efficiently and at scale as the company grows
We partner across the organisation, including Sales, Marketing, Engineering & Product, Customer Service & Success, and Finance, to solve real operational problems with practical, well‑designed software
Our work spans internal applications, 3rd‑party integrations, interactive dashboards, CMS integrations, and robust AI systems and agents that automate repetitive tasks, surface the right information at the right time, and help teams make better decisions
We operate in tight feedback loops with our internal customers, shipping quickly, learning fast, and seeing the impact of our work immediately in how deals move faster, tickets resolve sooner, and launches go more smoothly
The Amplify team builds the internal platforms, automation, and AI‑driven systems that power how Klaviyos work every day
Lead one or more engineering teams and help shape the technical direction for internal tools and platforms that improve efficiency, automation, and productivity
Lead a portfolio of internal systems supporting Sales, Marketing, Customer Service & Success, R&D, and Finance, including AI‑powered workflows, internal web applications, data and event pipelines, third‑party integrations, and support tooling
Balance technical leadership and people leadership, setting direction, modelling best practices, and enabling teams to deliver effectively through others
Partner closely with engineers, product managers, designers, and senior stakeholders to translate organisational challenges into scalable, high‑quality software solutions
Learn and evolve Klaviyo’s end‑to‑end internal workflows, scaling platforms and processes to support the company’s next phase of growth
Foster a culture of collaboration, systems thinking, technical excellence, and curiosity around new technologies, including AI
Make a direct and visible impact on how thousands of Klaviyos get their work done every day
30 Days: Build context across the Amplify domain by learning the teams’ areas of ownership, architecture, and core workflows. Establish trust with engineers and partners while contributing to technical discussions and trade‑off decisions
60 Days: Assess team roadmaps and delivery practices, incorporating input from engineers and stakeholders. Align priorities with the technical direction and business goals you are helping to shape, and begin contributing to hiring and team growth
90 Days: Improve how teams and stakeholders work by introducing or refining tools, processes, or architectural approaches. Provide technical leadership through reviews, guidance, and targeted hands‑on contributions where helpful
6‑12 months: Be a trusted owner of your teams’ platforms and systems, known for delivering meaningful, scalable impact. Partner closely with product and design to drive adoption of Amplify systems and evolve them to support Klaviyo’s continued growth
Klaviyo’s platform is primarily built with Python and React and runs on AWS. New hires join us from a wide range of technical backgrounds and are supported in learning our stack. Core technologies include:
Python / Django / FastAPI
Typescript / React
MySQL / Redis / Memcached
RabbitMQ / Celery / Apache Kafka / Apache Pulsar
AWS / Terraform / Kubernetes
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