Dein persönlicher KI-Karriere-Agent
Enterprise Account Executive(m/w/x)
Closing net new logos and expanding accounts for a unified, globally distributed database platform. 3+ years quota-carrying field experience in competitive markets required. Performance accelerators and stock equity.
Anforderungen
- 3+ years quota-carrying field experience in competitive market
- Focus on closing net new logos and expanding accounts
- Ability to open new accounts and sell across organization
- Proven track record of overachievement and hitting sales targets
- Ability to articulate business value of complex enterprise technology
- Co-selling with AWS, GCP, Azure, and large GSIs
- Skilled in building business champions
- Driven and competitive with strong desire to succeed
- Must live in territory
- Speak German
- Previous Sales Methodology training (e.g. MEDDIC, SPIN, Challenger Sales)
- Familiarity with databases, develops and cloud native infrastructure
Aufgaben
- Identify and qualify sales opportunities
- Close sales pipeline
- Prospect to CTOs, Engineering/IT Leaders, and technical users
- Build strong relationships for growth
- Partner with Solution Architects
- Collaborate with Professional Services for customer satisfaction
- Work with ecosystem and channel partners to maximize deals
- Participate in sales enablement trainings
- Attend Sales Bootcamp
- Engage in leadership and development programs
Berufserfahrung
- 3 Jahre
Ausbildung
- Matura
Sprachen
- Deutsch – fließend
Tools & Technologien
- AWS
- GCP
- Azure
- databases
- cloud native infrastructure
Benefits
Sonstige Vorteile
- Performance accelerators
- Employee affinity groups
Karriere- und Weiterentwicklung
- Continuous career development
Weiterbildungsangebote
- Sales training programs
Attraktive Vergütung
- Stock equity (RSUs)
- Employee stock purchase plan
Großzügige Elternzeit
- Generous parental leave
Familienfreundlichkeit
- Fertility and wellbeing support
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Enterprise Account Executive(m/w/x)
Closing net new logos and expanding accounts for a unified, globally distributed database platform. 3+ years quota-carrying field experience in competitive markets required. Performance accelerators and stock equity.
Anforderungen
- 3+ years quota-carrying field experience in competitive market
- Focus on closing net new logos and expanding accounts
- Ability to open new accounts and sell across organization
- Proven track record of overachievement and hitting sales targets
- Ability to articulate business value of complex enterprise technology
- Co-selling with AWS, GCP, Azure, and large GSIs
- Skilled in building business champions
- Driven and competitive with strong desire to succeed
- Must live in territory
- Speak German
- Previous Sales Methodology training (e.g. MEDDIC, SPIN, Challenger Sales)
- Familiarity with databases, develops and cloud native infrastructure
Aufgaben
- Identify and qualify sales opportunities
- Close sales pipeline
- Prospect to CTOs, Engineering/IT Leaders, and technical users
- Build strong relationships for growth
- Partner with Solution Architects
- Collaborate with Professional Services for customer satisfaction
- Work with ecosystem and channel partners to maximize deals
- Participate in sales enablement trainings
- Attend Sales Bootcamp
- Engage in leadership and development programs
Berufserfahrung
- 3 Jahre
Ausbildung
- Matura
Sprachen
- Deutsch – fließend
Tools & Technologien
- AWS
- GCP
- Azure
- databases
- cloud native infrastructure
Benefits
Sonstige Vorteile
- Performance accelerators
- Employee affinity groups
Karriere- und Weiterentwicklung
- Continuous career development
Weiterbildungsangebote
- Sales training programs
Attraktive Vergütung
- Stock equity (RSUs)
- Employee stock purchase plan
Großzügige Elternzeit
- Generous parental leave
Familienfreundlichkeit
- Fertility and wellbeing support
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
MongoDB
Branche
IT
Beschreibung
The company empowers innovators to create and disrupt industries by unleashing the power of software and data.
Noch nicht perfekt?
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