The opportunity
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 you'll do
Design and build AI-powered marketing capabilities into our systems, from: generative AI use cases to predictive scoring and intent-based automation, that accelerate the intake-to-conversion journey.
Serve as the technical owner of how marketing systems integrate with one: another — proactively catching where data breaks or logic conflicts, and implementing the architectural solutions needed to evolve the ecosystem to support business growth.
Build and connect an ecosystem that accelerates customer journeys through: personalization across the funnel — leveraging behavioral, product, and intent signals to maximize acquisition, conversion, and expansion
Turn performance data and business requirements into architecture and process: improvements that shorten planning cycles and improve marketing ROI.
Partner cross-functionally with Lifecycle, Marketing Analytics, Sales Ops,: and other technical teams to align system architecture with business needs — representing the technical point of view in planning and governance conversations.
Perform solution architecture reviews and serve as a critical advisor on: technical design decisions — flagging trade-offs and ensuring alignment across systems, teams, and outcomes
What they're looking for
- + years of experience in MarTech, with demonstrated ownership of: enterprise-scale system architecture — not just implementing tools, but architecting how data, process, and strategy connect across the full marketing lifecycle.
- Hands-on experience designing and building AI-powered marketing capabilities,: from generative AI use cases to predictive scoring and intent-based automation, that solve real marketing problems.
- Deep experience architecting HubSpot, Salesforce, and in-house systems at: scale, including lead scoring, lifecycle automation, customer journey and personalization, campaign/opportunity data models, and cross-system data association.
- Strong understanding of marketing budgeting, planning cycles, and ROI: measurement — able to connect spend data directly to performance outcomes through architectural decisions.
- Experience building scalable integrations: using APIs and middleware — across marketing systems (e.g., HubSpot, Salesforce, NetSuite, Coupa).
- A proven track record contributing to vendor evaluation and platform: implementation for enterprise organizations.
- A natural cross-functional partner: able to sit with cross-functional teams, translate their requirements into system architecture, and be the technical advisor they trust.
- Excellent communication and documentation skills.
