Optimization Strategist (f/m/d)

Contentful Contentful · Enterprise · London, United Kingdom · Sales

This role is a business-minded subject matter expert who partners with Account Executives to drive pipeline and revenue by selling Contentful Personalization and Analytics. The Optimization Strategist will lead discovery and strategy sessions with senior digital and marketing leaders, assess customer optimization practices, advise on change management, and represent Contentful as a thought leader in optimization and experimentation.

What you'd actually do

  1. Partner with Account Executives to drive pipeline and move opportunities forward — bringing the optimization and experimentation credibility and executive presence that accelerates deals from interest to commitment.
  2. Lead discovery and strategy sessions with senior digital and marketing leaders, mapping business objectives to concrete use cases, content and audience strategies, data flows, and experimentation patterns that make the case for Contentful Personalization and Analytics.
  3. Collaborate with Solution Engineers and Value Engineers to position Contentful Personalization within a customer's broader composable architecture — connecting the dots across CMSs, CDPs, CRMs, analytics platforms, AI models, and ecommerce.
  4. With deep domain expertise, guide prospects and customers through what a successful optimization and experimentation practice can look like — and what it takes organizationally to get there.
  5. Conduct structured enterprise discovery to assess where customers are today, where they can realistically go, and how to prioritize use cases, audiences, and channels to show early value.

Skills

Required

  • Genuine point of view on optimization, experimentation, and analytics
  • Commercial instinct to generate interest, build internal champions, and drive deals forward
  • Proven ability to engage C-suite and senior business leaders
  • Deep familiarity with optimization and personalization platforms, A/B testing, segmentation, and experimentation in enterprise contexts
  • 5+ years in optimization, digital experience, or analytics leadership OR 3+ years in enterprise presales or digital strategy
  • Willingness to travel up to ~25%

Nice to have

  • Direct experience selling or buying personalization and optimization platforms
  • Technical awareness of MACH and composable architectures
  • Familiarity with how AI, LLMs, and AEO/GEO influence personalization and optimization strategies

What the JD emphasized

  • revenue-impacting
  • optimization and experimentation