About this role
Analytical professionals who thrive on deep, hands-on ownership and cross-functional collaboration will enjoy designing the technical ecosystem at Klaviyo. As a Sr. Lead MarTech & AI Solutions Architect, you will serve as an individual contributor responsible for building the end-to-end architecture that tracks marketing data from initial lead intake to conversion. Your daily focus will involve embedding generative AI and automation directly into customer journeys while managing a centralized marketing hub that spans budget allocation, campaign execution, and ROI measurement.
This high-visibility position exists to unify complex systems and align system architecture with business needs across Lifecycle, Marketing Analytics, and Sales Ops teams. Success in this role requires a deep understanding of enterprise marketing data models and scalable integrations, allowing you to translate performance requirements into robust architectural improvements.
What you will do
- Design and build AI-powered marketing capabilities into enterprise systems, incorporating generative AI use cases, predictive scoring, and intent-based automation to accelerate the intake-to-conversion journey.
- Serve as the primary technical owner of how marketing systems integrate, proactively identifying data breaks and logic conflicts while implementing architectural solutions for business growth.
- Build and connect an ecosystem that personalizes customer journeys across the funnel by leveraging behavioral, product, and intent signals to maximize acquisition, conversion, and expansion.
- Translate performance data and business requirements into architecture and process improvements designed to shorten planning cycles and improve marketing ROI.
- Partner cross-functional teams including Lifecycle, Marketing Analytics, and Sales Ops to align system architecture with business needs and provide the technical point of view during planning.
- Perform solution architecture reviews and act as a critical advisor on technical design decisions by flagging trade-offs and ensuring alignment across systems and teams.
- Build and own a centralized marketing hub spanning the full execution lifecycle, covering budget allocation, planning, campaign execution, and feedback loops.
What you need
- Bring 10 or more years of experience in MarTech with demonstrated ownership of enterprise-scale system architecture across the full marketing lifecycle.
- Possess hands-on experience designing and building AI-powered marketing capabilities such as generative AI, predictive scoring, and intent-based automation.
- Demonstrate deep experience architecting HubSpot, Salesforce, and in-house systems at scale, including lead scoring, lifecycle automation, and cross-system data associations.
- Maintain a strong understanding of marketing budgeting, planning cycles, and ROI measurement to connect spend data directly to performance outcomes.
- Show experience building scalable integrations using APIs and middleware across marketing platforms like HubSpot, Salesforce, NetSuite, and Coupa.
- Display a proven track record of contributing to vendor evaluation and platform implementation for enterprise organizations.
- Exhibit strong communication and documentation skills alongside the ability to act as a trusted cross-functional technical advisor.
Benefits
- Annual cash bonus plan participation
- Variable compensation (OTE) for eligible roles
- Equity
- Sign-on payments
- Comprehensive range of health, welfare, and wellbeing benefits
Skills and tech stack
Questions candidates ask
What is the travel requirement for this job?
This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. All travel is coordinated in advance.
What is the salary range for this position?
The base salary offered for this position ranges from $156,000 to $234,000 USD across US locations. Final pay is determined by job-related skills, relevant experience, education or training, and work location.
Is this a remote or on-site role?
The posting states a location of Boston, MA, and mentions base pay ranges reflecting the cost of labor across various U.S. geographic markets.