Senior Solution Architect - Personalization Strategist
Contentful · Philadelphia, PA · Customer Experience
About this role
Contentful is hiring a senior-level Solutions Architect in the software engineering function based in Philadelphia, PA. The posting calls out experience with JavaScript, TypeScript, React, Angular.
- Role
- Solutions Architect
- Function
- software engineering
- Level
- senior
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Philadelphia, PA
- Department
- Customer Experience
More roles at Contentful
Job description
from Contentful careersAbout the Opportunity
We are hiring a Senior Personalization Solution Architect with deep domain expertise in personalization and experimentation to join Contentful’s Professional Services team. This role is designed for a practitioner who has built, operated, and scaled personalization programs in production, and who also brings the hands-on technical skills required to implement those programs in modern, composable architectures.
This is not a generalist Solution Architect role with light exposure to personalization. Success in this role requires strong opinions and real-world experience across audience strategy, decisioning, experimentation, and measurement—paired with the ability to design and deliver high-quality technical implementations using Contentful Personalization.
You will work directly with customer engineering, product, and marketing teams to design and implement advanced personalization and experimentation solutions, while also serving as a customer-facing extension of Contentful’s Product and Engineering teams. Your work will help reduce implementation risk, accelerate time to value, and create tighter feedback loops into product development—specifically for complex personalization use cases.
What to expect?
Personalization & Experimentation Domain Leadership
- Own the end-to-end design of personalization and experimentation programs, including:
- audience and segmentation strategies grounded in behavioral, contextual, and first-party data
- experience decisioning models that balance relevance, performance, and governance
- experimentation frameworks (A/B, multivariate, holdouts) with clear hypotheses and success criteria