Director Of Engineering, AI
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.
What this role actually needs.
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. Requirements: - Own the AI engineering charter. Define the technical vision and roadmap for AI-powered capabilities on Klaviyo’s platform, and translate it into clear plans, OKRs, and milestones for your teams. - Design and evolve the AI platform. Lead the architecture for LLM-powered and agentic systems — orchestration, tool/function calling, retrieval and memory, evaluation harnesses, observability, and safety guardrails tuned for real-world product workflows. - Ship remarkable, AI-native product experiences. Partner with Product, Design, and partner engineering teams to prioritize the highest-value use cases, break them into shippable iterations, and launch experiences that feel intuitive and powerful — not just demos bolted onto existing UI. - Make safety, reliability, and measurability non-negotiable. Define success metrics and guardrails for AI systems (e.g., time-to-first-value, uplift over baselines, override rates, hallucination/error rates, latency, SLOs), and build the tooling to monitor and continuously improve them in production. - Integrate deeply with Klaviyo’s data and platform stack. Collaborate with Data Platform, Production Infrastructure, and product engineering teams to ensure AI systems can safely and efficiently access the right data while respecting privacy, security, and governance constraints. - Raise the bar on AI engineering craft. Build shared patterns, libraries, and best practices for prompt and chain design, evaluation, human-in-the-loop review, and observability that other teams can reuse; champion rigorous experimentation, A/B testing, and fast feedback loops. Company context: Klaviyo is the public marketing automation and CDP company powering email, SMS, and AI personalization for ecommerce.
What a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- Own the AI engineering charter. Define the technical vision and roadmap for AI-powered capabilities on Klaviyo’s platform, and translate it into clear plans, OKRs, and milestones for your teams.
- Design and evolve the AI platform. Lead the architecture for LLM-powered and agentic systems — orchestration, tool/function calling, retrieval and memory, evaluation harnesses, observability, and safety guardrails tuned for real-world product workflows.
- Ship remarkable, AI-native product experiences. Partner with Product, Design, and partner engineering teams to prioritize the highest-value use cases, break them into shippable iterations, and launch experiences that feel intuitive and powerful — not just demos bolted onto existing UI.
- Make safety, reliability, and measurability non-negotiable. Define success metrics and guardrails for AI systems (e.g., time-to-first-value, uplift over baselines, override rates, hallucination/error rates, latency, SLOs), and build the tooling to monitor and continuously improve them in production.
- Integrate deeply with Klaviyo’s data and platform stack. Collaborate with Data Platform, Production Infrastructure, and product engineering teams to ensure AI systems can safely and efficiently access the right data while respecting privacy, security, and governance constraints.
- Raise the bar on AI engineering craft. Build shared patterns, libraries, and best practices for prompt and chain design, evaluation, human-in-the-loop review, and observability that other teams can reuse; champion rigorous experimentation, A/B testing, and fast feedback loops.
Why this listing is more than a copied job post.
Director Of Engineering, AI is framed against UpJobz source checks, country scope, compensation visibility, and work-authorization signals so candidates can make a faster go/no-go decision.
United States tech market
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Current extracted signal: Open to TN, H-1B, and OPT candidates already in the United States. UpJobz treats this as a search signal, not legal advice, and links visa-sensitive roles back to the relevant visa hub where possible.
Location read
On-site roles in Boston should be compared against commute, local salary bands, and nearby employer demand.
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- Use open to tn, h-1b, and opt candidates already in the united states as part of your positioning so the recruiter does not have to infer it.
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Source: klaviyo.com · Source ID: 7647697003 · Confidence: 88/100 · Last checked: May 7, 2026
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