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Klaviyo — Boston, Massachusetts
At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day.
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? com/careers to see how we empower creators to own their own destiny.
This role is based in our Boston office — and it's one of the most visible things we're building right now. Klaviyo's engineering org is scaling fast, and we're making a deliberate bet on AI-first engineering. We don't want AI to be something engineers use occasionally, we want it embedded in how every engineer at Klaviyo works from day one.
This is the role that makes that happen. You’ll help every engineer at Klaviyo move faster with more confidence—by design, not by accident. If you love building systems that enable outsized impact and enjoy teaching others how to win, this is the role.
This IC role sits at the heart of engineering effectiveness. , Tools Metrics) to translate insights into programs, tAI ooling, and rituals that help teams deliver. Build the systems, onboarding, and learning programs that make every Klaviyo engineer productive from day one—and more effective every quarter.
You’ll design an AI‑first onboarding and enablement experience, standardize “how engineering works” at Klaviyo, and run experiments that measurably improve developer velocity, quality, and satisfaction. The result: faster ramps, fewer friction points, and a culture of continuous improvement across R D. How you’ll make a difference Own engineering team onboarding and time-to-impact.
Design and run a Day 0 through Day 30/60/90 onboarding experience that is AI-first by default, including environments, access, labs, first PRs, and success metrics. Reduce time-to-first-impact and ensure a consistent, high-quality ramp for new engineers, in close partnership with L D. Enable embedding AI into daily engineering workflows like backlog and PR synthesis, and incident summaries.
Partner closely with Developer Infrastructure and Engineering Leadership to operationalize AI in ways that align with platform direction. Pilot tools, measure adoption and impact, and share playbooks that lift team productivity. Codify how engineering works.
Build and maintain living training and documentation that explain our engineering systems, development lifecycle, code review norms, CI and release practices, and incident hygiene, so teams can move fast in the same direction. Design and scale technical learning programs. Create, pilot, and iterate on learning paths, workshops, demos, and lunch-and-learns that build fluency in AI and emerging technologies.
Use stakeholder input and program data to continuously improve and scale what works. Enable engineering manager effectiveness. Translate Klaviyo’s leadership expectations to Engineering.
Design and deliver learning and enablement for Engineering Managers focused on how engineering operates, including planning and execution norms, tooling, metrics, onboarding new team members, and leading effectively within Klaviyo’s engineering system. Partner with HRBP and L D to diagnose the needs and customize content specific to technical leadership. Facilitate high-impact live learning.
Lead engaging, audience-appropriate learning sessions for engineers and engineering managers, incorporate feedback, and evolve content to maximize relevance and impact. Define and track enablement success. Establish north-star metrics and success criteria for onboarding, learning, and productivity initiatives.