OLIVER Agency - North America

OLIVER Agency - North America

Senior Copywriter

Baltimore, Maryland · Senior

Sponsorship not specifiedDetected 6 days ago
SparkWritingCRMMentoring

About the role

  • Based in Maryland, you'll write across the full content spectrum - email, paid social, digital display, web, and video - for five distinct higher education brands with different voices, audiences, and program portfolios.
  • Your work bridges the gap between curiosity and choice, delivering answers that make a complex decision feel clearer.
  • You'll work within a high-velocity, AI-augmented studio where Pencil is part of the workflow, and creative quality is never compromised by speed.

Responsibilities

  • A collaborative, mentoring mindset - you invest in the quality of the team's work, not just your own
  • Established in 2004, OLIVER is the world's first and only specialist in designing, building, and running bespoke in-house agencies and marketing ecosystems for brands.
  • We partner with over 300 clients in 40+ countries and counting.
  • Our unique model drives creativity and efficiency, allowing us to deliver tailored solutions that resonate deeply with audiences.
  • Our AI solutions enhance efficiency, spark creativity, and drive insightful decision-making, empowering our teams to produce innovative and impactful results.

Requirements

  • Proven ability to write in multiple brand voices with precision, adapting tone and register for different audiences and contexts
  • Ability to train others on effective AI tool usage within a copywriting context

Skills

  • Advanced use of AI writing and content tools to enhance creative output and production efficiency

Benefits

  • We support flexible working and are open to different arrangements.

Company info

  • As a part of The Brandtech Group, we're at the forefront of leveraging cutting-edge AI technology to revolutionise how we create and deliver work.

This listing is sourced directly from OLIVER Agency - North America's careers page and normalized into a canonical job model.