About this role
Designing and building the end-to-end architecture for marketing data flow occupies the daily routine in this individual contributor position. The person joining the team will construct a centralized marketing hub that covers the full execution lifecycle, from budget allocation and campaign planning to performance insights. Integrating AI and automation directly into the intake-to-conversion journey forms a core part of the mandate.
Klaviyo seeks a Sr. Lead MarTech & AI Solutions Architect for their San Francisco office to own system integrations and connect customer journeys through personalization across the funnel. This role requires someone who can translate business requirements and performance data into process improvements and scalable integrations using APIs and middleware. High visibility and ownership define the position, making it well-suited for an architect who understands how every system connects and can serve as a trusted technical advisor.
What you will do
- Design and build AI-powered marketing capabilities into enterprise systems, incorporating generative AI, predictive scoring, and intent-based automation.
- Serve as the technical owner for marketing system integrations, proactively identifying data breaks and logic conflicts to support business growth.
- Construct and connect an ecosystem that personalizes customer journeys across the funnel using behavioral, product, and intent signals.
- Translate performance data and business requirements into architectural improvements that shorten planning cycles and enhance marketing return on investment.
- Partner cross-functionally with Lifecycle, Marketing Analytics, and Sales Ops teams to align system architecture with overarching business needs.
- Perform solution architecture reviews and advise on technical design decisions to ensure consistency across systems and teams.
- Build and own a centralized marketing hub that spans budget allocation, campaign execution, and feedback loops for faster planning.
What you need
- Ten or more years of experience in MarTech with demonstrated ownership of enterprise-scale system architecture.
- Hands-on experience building AI-powered marketing capabilities, including generative AI use cases, predictive scoring, and intent-based automation.
- Deep expertise architecting HubSpot, Salesforce, and in-house systems at scale, covering lead scoring, lifecycle automation, and data models.
- Strong understanding of marketing budgeting, planning cycles, and ROI measurement connecting spend data to performance outcomes.
- Experience building scalable integrations across marketing platforms using APIs and middleware like NetSuite and Coupa.
- Proven track record of contributing to vendor evaluation and platform implementation for enterprise organizations.
Benefits
- Annual cash bonus plan
- Variable compensation for eligible roles
- Equity participation
- Sign-on payments
- Comprehensive range of health, welfare, and wellbeing benefits
Skills and tech stack
Questions candidates ask
What is the location and travel policy for this role?
The position is based in San Francisco, CA. The role may require up to 10% travel for new hire onboarding, client or partner work, team meetings, and industry events, which is coordinated in advance.
What is the salary range for the position?
The base pay range for US locations is $156,000 to $234,000 USD. The final base salary is determined by factors such as job-related skills, relevant experience, education, training, and work location.
What tools and systems will I be working with?
The tech stack involves architecting HubSpot, Salesforce, NetSuite, Coupa, and in-house systems at scale. You will also build scalable integrations using APIs and middleware.
What teams will I collaborate with?
You will partner cross-functionally with Lifecycle, Marketing Analytics, Sales Ops, and other technical teams. This involves aligning system architecture with business needs and representing the technical point of view in planning conversations.