Klaviyo
Overview
Director, AI & DevOps Engineering at Klaviyo. Lead a team of engineers focused on internal AI platforms and DevOps tooling to support intelligent systems and developer velocity. Define strategy, set roadmap, and partner with Klaviyo teams to operationalize AI tooling and modernize infrastructure. About The Team Global IT is part of Global Technology Solutions (GTS) and powers systems, tools, and infrastructure to keep the company moving fast. We build automation, platforms, and tooling to enable scalability, security, and employee productivity. The AI & DevOps Engineering team delivers platforms and services for internal AI usage and corporate stack automation, including secure LLM integrations, prompt APIs, CI/CD tooling, infrastructure-as-code, and systems bridging IT, Security, and R&D. About The Role (you) As the
Director of AI & DevOps Engineering , you’ll lead a team building and operating core internal platforms that support intelligent systems and developer velocity. You’ll set strategy, prioritize the roadmap, and partner with teams across Klaviyo to operationalize AI tooling and modernize infrastructure. You’ll own deployment and management of AI tools (e.g., ChatGPT, Claude, Gemini, Glean) and development of internal DevOps systems (CI/CD, automation, monitoring, infrastructure provisioning). You’ll deliver shared services that empower internal teams to work efficiently and solve high-value problems. Responsibilities
Lead the engineering roadmap for internal AI platform services, DevOps automation, and infrastructure tooling. Build and scale developer tools such as CI/CD pipelines, container orchestration, GitHub integrations, and infrastructure-as-code. Partner with Engineering, Security, and Data teams to integrate LLMs and AI services in a safe, scalable way. Stand up and support AI services: vector search, internal plugins, prompt orchestration layers, and secure API routing. Enable teams across Klaviyo to integrate AI into workflows by supporting pilots, building SDKs, and maintaining internal knowledge bases. Drive systems automation for IT services—identity provisioning, SaaS lifecycle management, endpoint posture, and reporting. Mentor and grow a high-performing team of engineers with a focus on technical depth, quality delivery, and service ownership. Represent Global IT in technical steering conversations with R&D, Product Infrastructure, and SecOps. What We’re Looking For
10+ years of experience in infrastructure, DevOps, platform engineering, or enterprise IT systems. At least 3+ years leading technical teams in high-growth or scaled organizations. Proven experience designing and operating CI/CD systems, infrastructure-as-code (Terraform or similar), and observability stacks. Familiarity with integrating AI services or LLM APIs into business systems (e.g., OpenAI, Anthropic, Google Gemini, Glean). Strong understanding of platform scalability, service reliability, and engineering lifecycle automation. Experience managing cloud infrastructure (AWS, GCP), container orchestration (Kubernetes, ECS), and developer platforms. Ability to drive cross-functional collaboration and communicate technical priorities to both engineering and non-technical stakeholders. A pragmatic and systems-thinking mindset—you look for patterns and build for scale. You’ve already experimented with AI in work or personal projects and are eager to learn quickly, responsibly exploring new AI tools and workflows. Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up. Nice to have
Experience building internal developer platforms (IDPs) or platform-as-a-service environments. Understanding of secure LLM patterns: embeddings, vector DBs, prompt injection defense, etc. Familiarity with scripting languages (Python, TypeScript, Bash) and automation frameworks. Exposure to enterprise SaaS management (Trelica, ConductorOne), endpoint MDM (Jamf, Intune), and RBAC tooling (Okta, GWS). Knowledge of RAG pipelines, LangChain, or Weaviate for internal AI workflows. Past experience with cost optimization and performance tuning at the infrastructure layer. 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. Equal Opportunity and Important Notices Clarity on Massachusetts applicants, equal opportunity policy, privacy notices, and security considerations are included as part of the recruiting process. Base pay range for US locations:
$248,000—$372,000
USD. Benefits and total rewards are described in the Klaviyo Rewards program. By submitting an application you consent to Klaviyo processing your Personal Data per our Job Applicant Privacy Notice. If you do not wish to consent, please refrain from applying.
#J-18808-Ljbffr
Director, AI & DevOps Engineering at Klaviyo. Lead a team of engineers focused on internal AI platforms and DevOps tooling to support intelligent systems and developer velocity. Define strategy, set roadmap, and partner with Klaviyo teams to operationalize AI tooling and modernize infrastructure. About The Team Global IT is part of Global Technology Solutions (GTS) and powers systems, tools, and infrastructure to keep the company moving fast. We build automation, platforms, and tooling to enable scalability, security, and employee productivity. The AI & DevOps Engineering team delivers platforms and services for internal AI usage and corporate stack automation, including secure LLM integrations, prompt APIs, CI/CD tooling, infrastructure-as-code, and systems bridging IT, Security, and R&D. About The Role (you) As the
Director of AI & DevOps Engineering , you’ll lead a team building and operating core internal platforms that support intelligent systems and developer velocity. You’ll set strategy, prioritize the roadmap, and partner with teams across Klaviyo to operationalize AI tooling and modernize infrastructure. You’ll own deployment and management of AI tools (e.g., ChatGPT, Claude, Gemini, Glean) and development of internal DevOps systems (CI/CD, automation, monitoring, infrastructure provisioning). You’ll deliver shared services that empower internal teams to work efficiently and solve high-value problems. Responsibilities
Lead the engineering roadmap for internal AI platform services, DevOps automation, and infrastructure tooling. Build and scale developer tools such as CI/CD pipelines, container orchestration, GitHub integrations, and infrastructure-as-code. Partner with Engineering, Security, and Data teams to integrate LLMs and AI services in a safe, scalable way. Stand up and support AI services: vector search, internal plugins, prompt orchestration layers, and secure API routing. Enable teams across Klaviyo to integrate AI into workflows by supporting pilots, building SDKs, and maintaining internal knowledge bases. Drive systems automation for IT services—identity provisioning, SaaS lifecycle management, endpoint posture, and reporting. Mentor and grow a high-performing team of engineers with a focus on technical depth, quality delivery, and service ownership. Represent Global IT in technical steering conversations with R&D, Product Infrastructure, and SecOps. What We’re Looking For
10+ years of experience in infrastructure, DevOps, platform engineering, or enterprise IT systems. At least 3+ years leading technical teams in high-growth or scaled organizations. Proven experience designing and operating CI/CD systems, infrastructure-as-code (Terraform or similar), and observability stacks. Familiarity with integrating AI services or LLM APIs into business systems (e.g., OpenAI, Anthropic, Google Gemini, Glean). Strong understanding of platform scalability, service reliability, and engineering lifecycle automation. Experience managing cloud infrastructure (AWS, GCP), container orchestration (Kubernetes, ECS), and developer platforms. Ability to drive cross-functional collaboration and communicate technical priorities to both engineering and non-technical stakeholders. A pragmatic and systems-thinking mindset—you look for patterns and build for scale. You’ve already experimented with AI in work or personal projects and are eager to learn quickly, responsibly exploring new AI tools and workflows. Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up. Nice to have
Experience building internal developer platforms (IDPs) or platform-as-a-service environments. Understanding of secure LLM patterns: embeddings, vector DBs, prompt injection defense, etc. Familiarity with scripting languages (Python, TypeScript, Bash) and automation frameworks. Exposure to enterprise SaaS management (Trelica, ConductorOne), endpoint MDM (Jamf, Intune), and RBAC tooling (Okta, GWS). Knowledge of RAG pipelines, LangChain, or Weaviate for internal AI workflows. Past experience with cost optimization and performance tuning at the infrastructure layer. 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. Equal Opportunity and Important Notices Clarity on Massachusetts applicants, equal opportunity policy, privacy notices, and security considerations are included as part of the recruiting process. Base pay range for US locations:
$248,000—$372,000
USD. Benefits and total rewards are described in the Klaviyo Rewards program. By submitting an application you consent to Klaviyo processing your Personal Data per our Job Applicant Privacy Notice. If you do not wish to consent, please refrain from applying.
#J-18808-Ljbffr