Engineering Manager, AI Enablement

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 youre a close but not exact match with the description we hope youll still consider applying. Want to learn more about life at Klaviyo Visit see how we empower creators to own their own destiny.

About Klaviyo

Klaviyo is a leading marketing automation platform that helps businesses grow by delivering personalized experiences. Our mission is to empower creators to own their destiny. We believe in providing an exceptional developer experience that enables our engineering teams to build and ship high-quality software efficiently and with confidence.

Join our dynamic team and play a pivotal role in accelerating our engineering organizations velocity and innovation. As the Engineering Manager youll be at the forefront of how we apply Artificial Intelligence to software engineeringworking with the team to build the foundational frameworks evangelizing AI agentic workflows across the company driving to AI enabled real production workflows and shaping how teams across the company build with AI. We are looking for an experienced Engineering Manager with a deep passion for using AI and automation to solve complex large-scale problems across a dynamic and diverse engineering organization..

What Youll Do

As an Engineering Manager of AI Enablement you will be responsible for leading a team focused on designing and delivering world-class AI-driven solutions to accelerate the engineering organization. Your role will involve:

• Strategic Leadership: Define the technical vision and roadmap for AI enablement. aligning with Klaviyos overarching engineering and business goals.
• Team Management: You will own the day-to-day operations team mentoring and coaching and help the engineers on your team grow their careers.
• Enhance Developer Productivity: Drive initiatives to improve platform cycle time metrics and engineering efficiency through the application of AI and automation.
• Technical Expertise & Build Paved Paths: Act as a subject matter expert for AI-driven engineering tools. 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.
• Experimentation: Continuously experiment with new AI tools and workflowstesting learning and sharing insights to keep the team and organization ahead of the curve as well as championing new applications that accelerate workflows and elevate quality responsibly.
• 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 Design and other Engineering teams to articulate technical strategies influence stakeholders and deliver production-ready solutions.

What Youll Bring

To succeed in this role you should possess a combination of strong technical expertise and proven leadership abilities:

• Experience: 5 years of experience in software engineering with at least 2 years in a Management or similar role preferably in a high-growth environment navigating technical complexity and change.
• Technical Acumen: Deep understanding of modern software development practices including CI/CD local development environments and cloud infrastructure (AWS).
• Full Stack & AI Expertise: 5 years of full stack development experience with proficiency in languages like Python Typescript and/or Go. Strong hands-on experience with specific AI/ML frameworks or platforms (e.g. PyTorch TensorFlow LangChain Claude Gemini Copilot).
• Leadership & Mentorship: Ability to inspire mentor and grow a team of highly skilled engineers fostering a culture of ownership and continuous improvement.
• Problem Solver: A track record of diagnosing and solving complex technical challenges related to developer workflows and systems.
• Communication: Excellent verbal and written communication skills to articulate technical strategies influence stakeholders and facilitate cross-functional collaboration.
• AI Hunger: Youve already experimented with AI in work or personal projects and youre excited to dive in and learn fast. Youre hungry to responsibly explore new AI tools and workflows finding ways to make your work smarter and more efficient.

What Makes This Role Exciting

• Hot Start & High Impact: You wont 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 companys ambition and growth.

Technologies we use (not exhaustive):

• Python Go Django
• MySQL Redis Pulsar
• Amazon Web Services (EC2 RDS Aurora etc.) Kubernetes Terraform and other DevOps tools
• React TypeScript JavaScript HTML CSS

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