Senior Solution Architect - Personalization Strategist

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.

• 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
  • Provid…