Senior Solutions Consultant
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About the role
We are looking to hire a Senior Solutions Consultant to join our Commercial team in London. This is a full time office-based role out of our London office. Minimum expectation 3 days per week in office. Working at WGSN Together, we create tomorrow A career with WGSN is fast-paced, exciting and full of opportunities to grow and develop. We're a team of consumer and design trend forecasters, content creators, designers, data analysts, advisory consultants and much more, united by a common goal: to create tomorrow. WGSN's trusted consumer and design forecasts power outstanding product design, enabling our customers to create a better future. Our services cover consumer insights, beauty, consumer tech, fashion, interiors, lifestyle, food and drink forecasting, data analytics and expert advisory. If you are an expert in your field, we want to hear from you. Role overview For two decades, WGSN's proprietary trend intelligence has shaped how the world's most valuable brands in fashion, beauty, consumer goods, interiors and food & drink make decisions. Now those same brands are rebuilding their stack around AI-agents, knowledge platforms, recommendation engines, and personalisation systems-and they want WGSN forecast intelligence flowing into them as a data layer, delivered through our Pulse Intelligence API. This role leads the pre-sales technical and solutioning workstream on our largest enterprise opportunities. Working alongside Enterprise Account Directors, you will qualify, scope, design and close API and data-integration deals at $1m+ multi-year contract value, covering both new logos and expansion within existing accounts. This is a hybrid technical and consultative sales role. You will run discovery sessions with senior stakeholders across design, consumer insight, buying and merchandising, as well as Chief Digital, Innovation and Data Officers shaping the AI agenda. You will then translate those conversations into commercial propositions. We are looking for significant experience in enterprise pre-sales, solutions consulting, solutions engineering or technical account management, selling data, API, SaaS or AI/ML products into large enterprises. Direct experience of API and data-product sales cycles are essential.
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