GrepJob
Planet

AI Engineer, Marketing

Planet
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2 months ago
Arlington, VA, USAMid Level / Senior

Base Salary

$128k - $161k/yr

Responsibilities

  • Identify gaps and create strategies for implementing AI across marketing workflows.
  • Architect and build an AI-first go-to-market engine for customer engagement.
  • Utilize AI for complex data analytics and funnel performance reporting.
  • Collaborate with marketing teams to apply AI in campaign planning and audience targeting.
  • Integrate new AI tools into existing CRM and marketing automation platforms.
  • Evaluate emerging AI technologies and select tools for the GTM technology stack.
  • Develop playbooks for marketing teams on using AI tools.
  • Support AI-driven experimentation and creative testing.
  • Train marketing teams on AI capabilities and best practices.
  • Monitor and report on the impact of AI initiatives on marketing efficiency.

Requirements

  • 5+ years of experience in software engineering, data analytics, or automation engineering.
  • At least 1 year of experience building production-grade AI systems.
  • Hands-on experience with large language models and prompt design.
  • Ability to design and build complex operational systems for marketing or sales.
  • Experience with marketing technology platforms like CRM and marketing automation tools.
  • Experience implementing AI tools and improving marketing workflows through automation.
  • Strong analytical skills to interpret market data and evaluate marketing initiatives.
  • Excellent communication skills for team collaboration and tool adoption.
  • Comfort in fast-paced, ambiguous environments.

Benefits

  • Comprehensive Medical, Dental, and Vision plans.
  • Health Savings Account (HSA) with company contribution.
  • Generous Paid Time Off plus holidays and company-wide days off.
  • 16 Weeks of Paid Parental Leave.
  • Wellness Program and Employee Assistance Program (EAP).
  • Home Office Reimbursement.
  • Monthly Phone and Internet Reimbursement.
  • Tuition Reimbursement and access to LinkedIn Learning.
  • Equity options.
  • Volunteering Paid Time Off.

Categories

AI & MLData Science