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Senior Lead AI Software Engineer

Klaviyo
CompanyKlaviyo
CategoryEngineering
LocationBoston
RemoteOn-site (inferred)
EmploymentNot stated
LevelLead
SalaryNot stated by the employer
Posted9 Jun 2026
Last verified30 Jul 2026
SourceEmployer career page (greenhouse)
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Description
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. Team Overview The Amplify Engineering team builds the internal tools, platforms, and AI-powered automation that help Klaviyos work more efficiently and at scale as the company grows. We partner across the organization, including Sales, Marketing, Engineering & Product, and Customer Service & Success, to solve real operational problems with practical, well-designed software. Our work spans internal applications, 3rd-party integrations, interactive dashboards, CMS integrations, and robust AI systems and agents that automate repetitive tasks, surface the right information at the right time, and help teams make better decisions. We operate in tight feedback loops with our internal customers, shipping quickly, learning fast, and seeing the impact of our work immediately in how deals move faster, tickets resolve sooner, and launches go more smoothly. This role is for senior technical leaders who own hard problems end-to-end across multiple domains, set the technical bar for how Amplify builds, and drive engineering excellence across the broader organization. The work is highly visible and has a direct impact on how thousands of Klaviyos get their work done every day. How You’ll Make an Impact The Amplify team builds the internal platforms, automation, and AI-driven systems that power how Klaviyos work every day. As a Senior Lead Software Engineer on Amplify, you will: Independently own and drive high-impact objectives that span multiple Amplify teams and align with company priorities, defining the technical roadmap that ensures our internal applications, APIs, data and event pipelines, and AI-powered workflows can scale with Klaviyo and continue delivering measurable business outcomes. Be accountable, in partnership with Engineering Managers, for the long-term technical health of Amplify’s systems — quality, reliability, scalability, cost, and security — across a significant slice of Klaviyo engineering, maintaining strong system-level thinking across interconnected internal platforms. Independently lead the end-to-end lifecycle of large, multi-team initiatives with clear technical direction, architectural leadership, and active workstream curation, from discovery and design through implementation, rollout, and long-term ownership of complex programs that span internal customers across the company. Make high-judgment architectural calls in ambiguous situations, committing decisively even when facing disagreement, and use prototypes and reference implementations to de-risk decisions before broader investment. Establish shared standards, patterns, and reference implementations that multiply team effectiveness across Amplify and adjacent engineering teams, and proactively redirect efforts away from low-leverage approaches and toward higher-impact solutions when projects are off-course. Define and communicate forward-looking technical strategy that integrates input from Product, Design, Data, and operational partners, and use that strategy to lead technical discussions and influence the roadmaps of adjacent teams whose work intersects with Amplify. Set the standard for AI-native engineering at Amplify. Use modern AI tools — coding assistants, agentic workflows, RAG pipelines, and evaluation harnesses — as a core part of your day-to-day workflow, define guardrails for building AI-powered systems responsibly, and help the broader engineering organization ado
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