Growth Designer - AI-Driven Creative & CRO Leader

Clara

Ciudad de México

Híbrido

MXN 420.000 - 660.000

Jornada completa

14 días+
Generador de candidaturas

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Ventajas ofrecidas por este puesto de trabajo

ESOP
Learning budget
Hybrid work
Flexible vacation
Multicultural team

Descripción de la vacante

Clara is seeking a design-focused Growth Designer to shape Clara's acquisition engine across Mexico, Brazil, and Colombia. You will craft ad creatives, landing pages, and lifecycle journeys using AI tools as a core workflow component, from prompt to final asset.

You will help define AI-native growth design at scale on a team building proactive, scalable processes across three languages. Hybrid work and data-driven experimentation are core to the role.

Formación

  • 2+ years in growth design with measurable impact.
  • Strong portfolio showing ad creatives, landing pages, or CRO work.
  • Daily use of AI tools and prompt writing ability.
  • Expert in Figma with a component/system mindset.
  • Conversion-focused mindset and ability to analyze metrics.

Responsabilidades

  • Design performance creative at scale for Meta, Google, and LinkedIn using AI and Figma.
  • Create landing pages and conversion flows, with CRO best practices.
  • Use AI daily to generate variants and draft assets quickly.
  • Build scalable creative systems across markets and languages.
  • Collaborate with Growth - Paid Media to interpret data and iterate.

Conocimientos

Growth design
Portfolio
AI tools
Prompting
Figma
Conversion metrics
A/B testing
Multi-market

Herramientas

Midjourney
Ideogram
Runway
Figma AI
After Effects
Webflow
Framer
n8n
Zapier

Descripción del empleo

Clara is seeking a design-focused Growth Designer to shape Clara's acquisition engine across Mexico, Brazil, and Colombia. You will craft ad creatives, landing pages, and lifecycle journeys using AI tools as a core workflow component, from prompt to final asset.

You will help define AI-native growth design at scale on a team building proactive, scalable processes across three languages. Hybrid work and data-driven experimentation are core to the role.

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