Enterprise AI Success Architect

Yalo Inc.; Ciudad de México; Presencial; MXN 1.547.000 - 2.235.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Unlimited PTO

Competitive compensation

Flexible time

Start-up environment

International teamwork

Descripción de la vacante

Yalo Inc. is seeking a strategic, senior Customer Success/Account leader to transform high-value relationships into measurable business impact.

You will operate at the intersection of strategy, consulting, customer success, commercial growth and AI, steering ambiguous problems to data-driven recommendations and production AI solutions. Responsibilities include diagnosing client needs, structuring problems, prototyping AI agents, influencing senior stakeholders, and partnering with Sales to drive

Formación

• Structured problem solving: bring clarity to ambiguity and think in hypotheses.
• Commercial instinct: see where value can be created and growth.
• AI-native: use AI to think, analyze, build and execute.

Responsabilidades

• Diagnose — Understand the customer's business, economics, priorities and journey.
• Structure — Turn complex problems into hypotheses and actionable recommendations.
• Build — Prototype, test and deploy AI agents and automations.
• Influence — Advise senior stakeholders and mobilize cross-functional teams.
• Commercialize — Identify whitespace and partner with Sales to grow accounts.
• Scale — Turn successful use cases into repeatable opportunities.

Conocimientos

Structured problem solving

Commercial instinct

AI-native

Executive presence

Analytical rigor

Storytelling

Ownership

Bias for action

Descripción del empleo

Yalo Inc. is seeking a strategic, senior Customer Success/Account leader to transform high-value relationships into measurable business impact.

You will operate at the intersection of strategy, consulting, customer success, commercial growth and AI, steering ambiguous problems to data-driven recommendations and production AI solutions. Responsibilities include diagnosing client needs, structuring problems, prototyping AI agents, influencing senior stakeholders, and partnering with Sales to drive