As a Senior Pre-sales Manager (Strategic Accounts, Data & AI) will lead a team of pre-sales Solutions Architects focusing on complex, strategic accounts.
You will help lead our APJ Region (Asia Pacific and Japan) expansion, you will build and lead a technical pre-sales team.
Your experience partnering with the sales organisation will help close revenue with opportunities of +$1M ARR with the right approach whilst coaching new sales and pre-sales team members to work together.
You will guide and get involved to enhance your team's effectiveness; be an expert at communicating complex, business value-focused solutions;
support complex sales cycles; and build relationships with key stakeholders in large corporations.
The impact you will have :
Manage hiring, building the Pre-Sales team as Solutions Architect.
Rapidly scale the designated Field Engineering segment organisation without sacrificing quality
Build a collaborative culture within a rapid-growth team. To embody and promote Databricks' customer-obsessed, teamwork and diverse culture
Support increase Return on investment of SA involvement in sales cycles by 2-3x over 18 months
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 MEA in partnership with the Marketing and Sales team
What we look for :
Experience in senior pre sales manager role in developing, managing and building a team of successful Big Data, Cloud, or SaaS professionals
Experience in complex strategic accounts generating +$1M ARR
Have experience scaling and mentoring field and technical teams from scratch both onshore and offshore 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 APJ Region (Asia Pacific and Japan)
Background experience in Data Architecture such as Data Engineering / Database technologies or Data Science
Employee's Provident Fund
Annual personal development fund
Work headphones reimbursement
Business travel insurance