Senior Solution Architect - Personalization Strategist

Contentful • Columbia, WA

19h

About The Position

About 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 Design personalization strategies that scale responsibly, including: guardrails to prevent over-personalization, bias, and degraded user experience approaches for global, multi-brand, or multi-region deployments tradeoffs between targeting precision, latency, and operational complexity Define measurement approaches that connect: user behavior → decisioning logic → exposure → business outcomes Act as a domain authority for personalization and experimentation in customer engagements, confidently guiding technical and non-technical stakeholders through best practices, limitations, and tradeoffs. Technical Solution Architecture & Hands-On Delivery Architect and implement end-to-end personalization solutions using Contentful Personalization , including: user identification and profile stitching audience evaluation and decisioning personalized content and experience delivery experimentation and uplift measurement Lead hands-on implementation activities such as: building proof-of-concepts and reference implementations configuring personalization models and decision logic developing integration services and APIs supporting production deployments and performance optimization Integrate personalization solutions with enterprise platforms including: CDPs (Segment, Tealium, mParticle, etc.) CRMs (Salesforce, Dynamics) analytics platforms (GA4, Adobe Analytics, Snowplow) identity, consent, and privacy tooling Design personalization delivery patterns across modern rendering strategies: SSR, CSR, SSG, ISR edge and CDN-based personalization hybrid static + runtime personalization approaches Ensure solutions meet enterprise requirements for: performance and scalability reliability and fallback behavior security and privacy compliance Technical Discovery & Customer Enablement Lead technical discovery sessions to assess customer readiness across: data quality, identity maturity, and event instrumentation architectural constraints (latency, caching, edge delivery) content model alignment and operational workflows Translate personalization requirements into detailed technical designs, including: integration patterns and API contracts data and event schemas deployment and observability considerations Enable customer teams through: implementation workshops and pair-programming architecture and code reviews developer documentation and operational runbooks Cross-Functional Collaboration & Feedback Loops Partner closely with Contentful Product and Engineering teams to: surface implementation challenges and recurring customer pain points provide feedback that influences roadmap, developer experience, and documentation validate new personalization capabilities against real customer use cases Contribute to internal enablement by: mentoring Solution Architects and delivery team members developing reusable accelerators, patterns, and reference architectures supporting Sales and Solution Engineering with technical expertise in complex personalization opportunities

Requirements

• Demonstrated, hands-on experience designing and operating personalization and experimentation programs in production, including: ownership of audience strategy and decisioning logic designing and running A/B or multivariate experiments beyond basic UI testing interpreting experiment results and translating them into iterative improvements
• Strong understanding of personalization challenges such as: identity resolution and anonymous vs known users data sparsity and cold-start scenarios experimentation validity, bias, and statistical tradeoffs privacy, consent, and regulatory constraints
• Advanced proficiency with modern web technologies: JavaScript / TypeScript React with Next.js (preferred), or Vue/Nuxt, Angular REST and GraphQL APIs
• Deep understanding of web rendering and delivery patterns: SSR, CSR, SSG, ISR caching strategies and personalization at scale
• Strong experience integrating SaaS platforms and enterprise systems via APIs
• Experience designing or implementing cloud-native architectures (AWS, Azure, or GCP), including: serverless or microservices-based systems event-driven or streaming architectures
• Experience delivering customer-facing technical engagements in a consulting or professional services context
• Comfortable leading technical deep dives with engineering teams and explaining experimentation concepts to non-technical stakeholders
• Strong written communication skills, especially technical documentation

Nice To Haves

• 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)

Responsibilities

• 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
• Design personalization strategies that scale responsibly, including: guardrails to prevent over-personalization, bias, and degraded user experience approaches for global, multi-brand, or multi-region deployments tradeoffs between targeting precision, latency, and operational complexity
• Define measurement approaches that connect: user behavior → decisioning logic → exposure → business outcomes
• Act as a domain authority for personalization and experimentation in customer engagements, confidently guiding technical and non-technical stakeholders through best practices, limitations, and tradeoffs.
• Architect and implement end-to-end personalization solutions using Contentful Personalization , including: user identification and profile stitching audience evaluation and decisioning personalized content and experience delivery experimentation and uplift measurement
• Lead hands-on implementation activities such as: building proof-of-concepts and reference implementations configuring personalization models and decision logic developing integration services and APIs supporting production deployments and performance optimization
• Integrate personalization solutions with enterprise platforms including: CDPs (Segment, Tealium, mParticle, etc.) CRMs (Salesforce, Dynamics) analytics platforms (GA4, Adobe Analytics, Snowplow) identity, consent, and privacy tooling
• Design personalization delivery patterns across modern rendering strategies: SSR, CSR, SSG, ISR edge and CDN-based personalization hybrid static + runtime personalization approaches
• Ensure solutions meet enterprise requirements for: performance and scalability reliability and fallback behavior security and privacy compliance
• Lead technical discovery sessions to assess customer readiness across: data quality, identity maturity, and event instrumentation architectural constraints (latency, caching, edge delivery) content model alignment and operational workflows
• Translate personalization requirements into detailed technical designs, including: integration patterns and API contracts data and event schemas deployment and observability considerations
• Enable customer teams through: implementation workshops and pair-programming architecture and code reviews developer documentation and operational runbooks
• Partner closely with Contentful Product and Engineering teams to: surface implementation challenges and recurring customer pain points provide feedback that influences roadmap, developer experience, and documentation validate new personalization capabilities against real customer use cases
• Contribute to internal enablement by: mentoring Solution Architects and delivery team members developing reusable accelerators, patterns, and reference architectures supporting Sales and Solution Engineering with technical expertise in complex personalization opportunities

Benefits

• Join an ambitious tech company reshaping the way people build digital experiences
• 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
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed