Remote Junior Enterprise Solutions Engineer – Data & MarTech

Acxiom

Seattle (WA)

Remote

USD 60,000 - 90,000

Full time

6 days ago
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Job summary

Acxiom is seeking a Jr. Enterprise Solutions Engineer to work remotely from home with a base in Conway, Arkansas. You will translate client business goals into scalable data and mar-tech solutions while partnering with sales, client partners, and product teams.

You'll learn to uncover requirements, build proof points, and craft narratives that demonstrate ROI—gaining exposure to discovery, solution design, and applied AI in solutions engineering.

Qualifications

  • Bachelor's degree required with 2+ years in Martech, Adtech, or a data-focused role.
  • Foundational understanding of data concepts such as data pipelines, identity resolution, or analytics.
  • Comfort with AI tools and a demonstrated interest in applying them to work.
  • Understanding of pre-sales mechanics and how deal strategy, pricing inputs, and RFP/RFI work.

Responsibilities

  • Collaborate with experts to translate client needs into effective solutions and documentation.
  • Produce first-draft materials for RFPs/RFIs, client presentations, and solution narratives.
  • Build demos and proof points that showcase Acxiom's capabilities.
  • Conduct client, competitive, and market research to inform design and positioning.
  • Maintain solution documentation and organize deal artifacts.
  • Apply AI tools to accelerate research, content creation, and workflows.

Skills

Solution design
Communication
Problem-solving
Collaboration
AI tools familiarity

Education

Bachelor's degree
Martech/Adtech/data-focused experience

Job description

Acxiom is seeking a Jr. Enterprise Solutions Engineer to work remotely from home with a base in Conway, Arkansas. You will translate client business goals into scalable data and mar-tech solutions while partnering with sales, client partners, and product teams.

You'll learn to uncover requirements, build proof points, and craft narratives that demonstrate ROI—gaining exposure to discovery, solution design, and applied AI in solutions engineering.

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