Optimization Strategist (f/m/d)

Contentful
London, England, United KingdomPosted 17 March 2026

Tech Stack

Job Description

About the opportunity Contentful is looking for a Optimization Strategist ( f/m/d) to join our Field team a business-minded subject matter expert who can walk into a room with a VP of Digital or CMO, command the conversation, and turn optimization and experimentation ambitions into committed business goals. This is a revenue-impacting Field role that sits at the intersection of subject matter expertise and solution selling. Whether you've spent your career selling personalization platforms or you've led optimization and experimentation programs inside a large enterprise and developed a sharp commercial instinct along the way — what matters is that you can walk into a complex sales cycle, earn credibility fast, and move opportunities forward. The right candidate brings a genuine point of view on optimization — how to prioritize it, how to measure it, and how to communicate the vision to leaders who are still figuring out where to start. What to expect? 1. Solution Selling Field Engagement 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. This role influences pipeline and revenue outcomes in partnership with AEs but does not carry an individual quota. 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. 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. 2.Optimization Strategy Advisory 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. 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. Advise on change management, governance models, operating structures, and organizational readiness — from experimentation processes to centers of excellence — that enable optimization and experimentation to scale across brands, regions, and teams. 3. Thought Leadership Field Intelligence Represent Contentful as a subject matter expert on optimization and experimentation strategy in customer conversations, at industry events, and in partner engagements Bring structured field intelligence back to Product, GTM, and Marketing teams — surfacing patterns, gaps, and emerging trends that sharpen Contentful's positioning and roadmap. What you need to be successful? A genuine point of view on optimization, experimentation, and analytics — combined with the commercial instinct to generate interest, build internal champions, and drive deals forward. Proven ability to engage C-suite and senior business leaders (CMO, CDO, CIO, Heads of Digital) and drive strategic investment decisions — whether through a sales cycle or an internal program. Deep familiarity with optimization and personalization platforms, A/B testing, segmentation, and experimentation in enterprise contexts — whether gained from selling platforms (e.g., Optimizely, Adobe, VWO) or running programs at scale inside an enterprise organization. 5+ years in optimization, digital experience, or analytics leadership — or 3+ years in enterprise presales or digital strategy. Most candidates will be stronger in one track. What's non-negotiable is genuine optimization expertise paired with commercial drive. Willingness to travel up to ~25%. Highly Desired Direct experience selling or buying personalization and optimization platforms (e.g., Optimizely ... (truncated, view full listing at source)
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