Senior Solution Architect - Personalization Strategist (Portland)

Senior Personalization Solution Architect – Full‑time position based in Portland, Oregon.

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. It 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.

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

Required: Personalization & Experimentation Domain Expertise

• 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

Required: Technical & Architectural Skills

• 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

Professional Services & Collaboration Skills

• 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 Have

• 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

• Customers successfully deploy production‑grade personalization and experimentation programs using Contentful Personalization
• Personalization solutions you design are:
  • Measurable and outcome‑driven
  • Performant at enterprise scale
  • Governed and extensible over time
• Customer engineering teams trust your guidance because you bring deep personalization domain expertise backed by hands‑on implementation experience
• Product and Engineering teams benefit from clear, actionable feedback rooted in real customer implementations
• Contentful is consistently seen as a credible personalization partner, not just a technology vendor

Benefits

• Full‑time employee originally includes Stock Options for sharing in company success
• Comprehensive health care package covering 100% of monthly health premiums for employees and 85% for dependents
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family
• Generous paid time off: 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
• Personal annual education budget to improve your skills and grow in your career
• Full range of virtual and in‑person events, including workshops, guest speakers, and fun team activities, supporting learning and networking beyond usual work duties
• Annual wellbeing stipend that supports your physical, financial, or emotional health
• Monthly communication stipend and phone hardware upgrade reimbursement
• New‑hire office equipment stipend for hybrid or distributed employees

Equal Opportunity Employer

Everyone is welcome here! Contentful strives to create an inclusive environment that empowers employees. We believe that our products and services benefit from diverse backgrounds and experiences, and we are proud to be an equal‑opportunity employer. All qualified applications will receive consideration for employment without regard to race, color, national origin, religion, sexual orientation, gender, gender identity, age, physical disability, or length of time spent unemployed. If you need reasonable accommodations at any point during the application or interview process, please let your recruiting coordinator know.

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