Own the end-to-end design of personalization and experimentation programs, including:
Design personalization strategies that scale responsibly, including:
Define measurement approaches that connect:
Architect and implement end-to-end personalization solutions using Contentful Personalization , including:
Lead hands-on implementation activities such as:
building proof-of-concepts and reference implementations
Integrate personalization solutions with enterprise platforms including:
Design personalization delivery patterns across modern rendering strategies:
Ensure solutions meet enterprise requirements for: performance and scalability reliability and fallback behavior
Lead technical discovery sessions to assess customer readiness across:
content model alignment and operational workflows
validate new personalization capabilities against real customer use cases
Requirements
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.
experience across audience strategy, decisioning, experimentation, and measurement—paired with the ability to design and deliver high-quality technical implementations using Contentful Personalization.
Experience designing or implementing cloud-native architectures (AWS, Azure, or GCP), including:
Experience delivering customer-facing technical engagements in a consulting or professional services context
Experience with CDPs, tag management systems, and event pipelines
Familiarity with ML-driven personalization approaches (e.g., propensity models, recommenders), even if models are externally managed •
Experience working in composable DXP ecosystems (CMS, personalization, experimentation, commerce) What Success Looks Like
JD/technology), for example.
By blending composability with native AI capabilities, Contentful enables dynamic personalization, automated content delivery, and real-time experimentation, powering next-generation digital experiences across brands, regions, and channels for more than 4,200 organizations worldwide.
Benefits
Full-time employees receive Stock Options for the opportunity to share in the success of our company
Comprehensive healthcare package covering 100% of monthly health premiums for employees and 85% of costs for your dependents.
Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
We value Work-Life balance and You Time ! A generous amount of paid time off, including vacation days, sick days, compassion days for loss, education days, and volunteer days
Company paid parental leave to care for and focus on your growing family
Use your personal annual education budget to improve your skills and grow in your career
An annual wellbeing stipend to care for your physical, financial, or emotional health
A monthly communication stipend and phone hardware upgrade reimbursement.
New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.
In addition, this position is not eligible for visa sponsorship.
This position is eligible for equity awards in accordance with the terms of Contentful’s equity plans.
California Salary Statement: The salary range displayed is specifically for those potential hires who will work or reside in the state of California if selected for the role.
Any offered salary is determined based on internal equity, internal salary ranges, market data/ranges, applicant's skills and prior relevant experience, certain degrees and certifications (e.g.
California Salary Range: $170,000 - $230,000 (80/20 split) Who are we?
Contact
If you suspect fraud, please report it to your local authorities, as well as reach out to us at security-esk@contentful.com with any information you may have.
Additional details
We are hiring a Senior Personalization Solution Architect with deep domain expertise in personalization and experimentation to join Contentful’s Professional Services team.
This is not a generalist Solution Architect role with light exposure to personalization. Success in this role requires strong opinions and real-world
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
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
guardrails to prevent over-personalization, bias, and degraded user experience
approaches for global, multi-brand, or multi-region deployments