Engineering Manager, AI Enablement

Klaviyo•Boston, MA

About The Position

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 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 organization's velocity and innovation. As the Engineering Manager, you’ll be at the forefront of how we apply Artificial Intelligence to software engineering—working 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..

Requirements

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: 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, finding ways to make your work smarter and more efficient.

Responsibilities

Strategic Leadership: Define the technical vision and roadmap for AI enablement. aligning with Klaviyo's 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 workflows—testing, 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.

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