Remote Enterprise Account Executive - Mexico (AI Creative)

Magnific; México; Remoto; MXN 900.000 - 1.500.000; Tempo pieno

Vantaggi offerti da questo lavoro

Private health insurance

23 vacation days + Dec 24 & 31 off

Birthday leave

Attend industry events

Descrizione del lavoro

Magnific is hiring an Enterprise Account Executive to drive new business with enterprise customers in a full-cycle, remote role based in Mexico. You will prospect, multithread across complex orgs, deliver tailored demos, and collaborate with leadership on late-stage execution—deal strategy, executive alignment, negotiation, and close plans.

You’ll expand Magnific’s enterprise footprint across EMEA as a trusted partner to brands, operating with MEDDICC discipline and data-driven proposals while

Competenze

• Proven track record of exceeding targets in SaaS enterprise sales (1,000+ employees).
• Fluent in MEDDICC, multi-threading, and complex deal orchestration.
• Business-minded with the ability to analyze customer processes and build data-driven proposals.

Mansioni

• Prospect and qualify enterprise opportunities across large global organizations.
• Deliver elite demos that resonate with marketing, design, and procurement leaders.
• Own the full sales cycle, collaborating with leadership on late-stage strategy, negotiation, and legal alignment.
• Analyze workflows and KPIs to position Magnific as a clear ROI driver.
• Refine approaches and share learnings to scale what works.

Conoscenze

MEDDICC

Multithreading

Executive alignment

Demos

SaaS sales

Descrizione del lavoro

Magnific is hiring an Enterprise Account Executive to drive new business with enterprise customers in a full-cycle, remote role based in Mexico. You will prospect, multithread across complex orgs, deliver tailored demos, and collaborate with leadership on late-stage execution—deal strategy, executive alignment, negotiation, and close plans.

You’ll expand Magnific’s enterprise footprint across EMEA as a trusted partner to brands, operating with MEDDICC discipline and data-driven proposals while