Pre-sales Solutions Manager
1 day ago
REQ ID: FEQ426R329
Recruiter: Dina Hussain
Location: London, United Kingdom
As a Manager, Field Engineering (Data and AI), you will lead a team of pre-sales Solutions Architects focusing on complex, strategic accounts, helping to lead our UK&I expansion. Your experience partnering with sales organisations will help to close revenue with opportunities of +$1M ARR, while coaching new sales and pre-sales team members to work together. You will guide your team and be involved with opportunities to enhance your team's effectiveness. You must be an expert at communicating complex, business value-focused solutions; supporting complex sales cycles; and building relationships with key stakeholders in large corporations.
You will report to the Senior Director, Field Engineering.
The impact you will have:
- Manage hiring, onboarding and building your Pre-Sales Solutions Architect team
- Rapidly scale the designated team without sacrificing quality
- Build a collaborative culture within a rapid-growth team. To embody and promote Databricks' customer-obsessed, teamwork and diverse culture
- Support an increase in ARR through the investment of Solutions Architect involvement in sales cycles
- Promote a solution and value-based selling field-engineering organisation
- Display an understanding of business needs and revenue potential for accounts in the assigned region
- Build Databricks' brand in UK&I in partnership with the Marketing and Sales team
What we look for:
- Experience in a pre-sales manager role in developing, managing and building a team of successful Big Data, AI, or Cloud professionals.
- Experience in a customer-facing role across various vertical sectors
- Experience in developing go-to-market (GTM) strategies
- Experience in complex strategic accounts generating
- Have experience scaling and mentoring field and technical teams
- Knowledgeable in and passionate about data-driven decisions, AI, and Cloud software models
- Great at instituting processes for technical field members to improve efficiency
- Market experience of the UK&I region
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent work experience
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