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обновлено 17 дней назад

Pre-sales Engineering Manager (Retail & CPG)

Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Pre-sales Engineering Manager (Retail & CPG) (Data and AI): Leading and scaling a UK&I pre-sales Solutions Architect team supporting complex strategic accounts in the Retail and CPG sectors with an accent on AI, cloud software, value-based selling, and customer stakeholder engagement. Focus on building high-performing field engineering teams, developing go-to-market strategies, accelerating technical implementation decisions, and increasing platform consumption revenue.

Location: Hybrid in London, United Kingdom

Company

Databricks provides a unified Data and AI Platform for data applications, analytics, and AI agents, serving organizations worldwide.

What you will do

  • Lead hiring, onboarding, development, and scaling of a pre-sales Solutions Architect team.
  • Support complex sales cycles and increase platform consumption revenue through Solutions Architect engagement.
  • Develop solution- and value-based selling practices for the field engineering organization.
  • Engage directly with senior customer stakeholders to accelerate technical implementation decisions and customer projects.
  • Build Databricks’ brand and go-to-market presence across UK&I Retail and Consumer Packaged Goods accounts.
  • Use AI to improve team workflows, productivity, and operational scale.

Requirements

  • Experience leading, developing, and building teams of Big Data, AI, or Cloud professionals in pre-sales.
  • Customer-facing experience across the Retail and CPG sectors in the UK and Ireland.
  • Experience with complex strategic accounts and go-to-market strategy development.
  • Experience scaling and mentoring field and technical teams.
  • Knowledge of data-driven decision-making, AI, and cloud software models.
  • Strong communication, stakeholder management, and process-improvement skills.

Culture & Benefits

  • Collaborative, customer-obsessed, and diverse working culture.
  • Comprehensive regional benefits and employee perks.
  • Opportunity to work in a rapid-growth Data and AI company with offices around the world.

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