Чётко описанная роль в enterprise-продажах в крупной компании в сфере Data и AI; требование допуска SC ограничивает круг подходящих специалистов, а информация о компенсации отсутствует.
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Понятная рольСфера AIДопуск SC
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
New Business Enterprise Account Executive (Public Sector) (Data/AI/SaaS): Driving new-logo adoption of the Databricks Intelligence Platform across UKI public sector organisations with an accent on enterprise account strategy, procurement frameworks, and usage-based SaaS sales. Focus on building pipelines, navigating complex buying centres, closing strategic deals, and communicating technical and business outcomes to executive stakeholders.
Location: London, United Kingdom; responsible for a defined prospect territory in UKI. Eligibility for SC clearance is required, with existing clearance advantageous.
Company
Databricks is a Data and AI company providing a unified platform for data, AI applications, analytics, agents, Lakehouse capabilities, and governance to organisations worldwide.
What you will do
Develop account strategies across public sector organisations, engage all buying centres, and shorten decision cycles.
Build and self-source a pipeline across UKI, manage prospects, and run the full sales cycle from prospecting through close.
Drive new-logo adoption through solution-led selling, identifying quick wins while managing complex enterprise sales cycles.
Use AI tools for account research, meeting preparation, deal planning, and hands-on understanding of the Databricks platform.
Build demand plans and consumption narratives, surface high-value use cases, and support usage-based expansion.
Coordinate Solutions Architects, partners, services, training, and executive stakeholders to deliver technical and business outcomes.
Requirements
Proven new-business development experience with a record of closing and exceeding quota in public sector accounts, including territory building and winning new logos.
Experience navigating public sector procurement frameworks and mechanisms.
Active use of AI tools to improve productivity and work quality, with practical examples beyond general familiarity.
Background in cloud software, open source technology, and/or data and AI, ideally selling data, analytics, AI, or digital transformation programmes.
Experience driving adoption of usage-based SaaS services and co-selling with AWS, Azure, or Google Cloud.
Ability to identify key use cases and buying centres and expand platform value within an organisation.
Experience selling to business-line leaders, C-suite executives, and economic buyers, with the ability to explain business outcomes and ROI.
Experience building champions, collaborative teams, and productive partnerships.
Understanding of consumption-based land-and-expand sales models and familiarity with account planning, MEDDPICC, Value Selling, and accurate forecasting.
Evidence of consistent success, initiative, ownership, continuous learning, and contributions to high-performance, high-accountability cultures.
Ability to lead deal teams, collaborate with sellers, and mentor others.
Eligibility for SC clearance.
Culture & Benefits
Comprehensive benefits and perks are offered according to the employee's region.
Inclusive workplace committed to diversity, equal opportunity, and enabling employees to excel.
Collaboration with Data, AI, industry, technical, partner, and executive specialists.
Access to a global organisation serving more than 20,000 customers and operating from more than 30 offices.
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