Senior Solutions Consultant
YOOBIC is the leading AI-powered frontline employee experience platform. While most of the tech world builds for people behind a desk, we are building the operating system for the deskless workforce across retail, hospitality and other frontline industries.
350+ global brands, including Mattress Firm, Michaels, GameStop, Lacoste, Lidl, Boots, Peloton, Pret, Puma and Vans, YOOBIC is bringing digital transformation to the physical world.
We’re looking for a Senior Solutions Consultant to own the technical and strategic narrative for our most complex enterprise opportunities. This goes far beyond product demos: you’ll translate YOOBIC’s AI capabilities into clear, measurable business outcomes for VP- and C-level buyers while helping raise the bar across our Solutions Consulting team.
Why This is Your Next Career Move
- Strategic Influence: You’ll shape complex enterprise opportunities from discovery through to close, partnering closely with Account Executives and Account Managers.
- The AI Edge: You’ll help leading brands understand how responsible, explainable AI can improve store execution, sales performance and frontline productivity.
- Executive Exposure: You’ll work with senior retail, operational, IT and AI stakeholders, connecting technical capability to a compelling business case.
- Visible Impact: Your customer and market insight will influence our Product, AI and Engineering roadmaps.
- Team Multiplier: You’ll create repeatable assets, contribute to enablement and help strengthen best practices across the wider Solutions Consulting team.
What You’ll Achieve
- Lead Complex Opportunities: Own the technical and value strategy for enterprise deals, guiding discovery, solution design, validation and executive alignment.
- Build the Business Case: Create persuasive narratives that connect YOOBIC’s capabilities to measurable operational and commercial outcomes.
- Establish AI Trust: Explain how YOOBIC uses operational data, benchmarking and AI to generate reliable, responsible and actionable recommendations.
- Navigate Technical Stakeholders: Translate concepts such as LLM behaviour, security architecture and API integrations for both technical and non-technical audiences.
- Strengthen Enterprise Confidence: Own RFI and RFP responses and lead security conversations with customer IT, legal and procurement teams.
- Connect Customer and Product: Partner with Product, AI and Engineering, and Professional Services to bring customer needs and market insight into our roadmap.
- Scale What Works: Build reusable demonstrations, value frameworks and enablement materials that improve the quality and consistency of our pre-sales approach.
Who You Are
- The Enterprise Pre-Sales Expert: You bring 5+ years in Solutions Consulting, Sales Engineering or a similar pre-sales role, with a track record of closing complex enterprise SaaS deals at $200k+ ACV.
- The Technical Translator: You can explain AI, analytics, security and integrations in a way that is credible to technical teams and meaningful to business leaders.
- The Executive Storyteller: You can build and deliver a clear narrative for everyone from frontline operators to VP- and C-level stakeholders.
- The AI Practitioner: You understand the practical opportunities and limitations of AI and can build trust with customers evaluating AI-powered solutions.
- The Commercial Partner: You work closely with sales teams, understand deal strategy and know how to connect product capability to customer value.
- The Collaborator: You’re low-ego, adaptable and comfortable tailoring your approach to stakeholders with very different levels of technical and AI fluency.
- The Builder: You’re energised by pace and ambiguity and enjoy creating the assets, processes and best practices that help a team scale.
- The Customer Advocate: You remain focused on solving meaningful customer problems and achieving measurable outcomes.
Bonus Points
- Experience within retail, grocery, telecoms, hospitality or another frontline-heavy industry.
- Knowledge of large-scale retail or frontline operations.
- Familiarity with recommendation systems, LLM frameworks or the retail technology ecosystem.
- Experience in a high-growth start-up or an early Solutions Consulting or Sales Engineering team.
- Fluency in sales methodologies such as MEDDPICC or Challenger.
- Business-level Spanish.