Shift

Shift

Marketing Operations Contractor (Marketo)

Remote (United States), Canada · Contract

Sponsorship not specified$65k-$75kDetected 1 day ago
Data AnalysisAccessibilitySalesforceMarketoCRMCompensation

About the role

  • As a Marketing Operations Contractor with Marketo expertise, you'll operate at the intersection of MOPs process advisory for B2B organizations and a hands-on Adobe Marketo expert.
  • We bridge the gap between marketing, data, and technology to unlock growth for some of the world's most recognized brands.
  • At SH/FT you'll shape the future of how organizations connect with their customers through intelligent architecture, scalable systems, and the power of data-driven strategy.

Responsibilities

  • You'll work directly with our clients to guide them in making scalable process, workflow and performance reporting decisions, then own the build, optimization, and governance of marketing automation programs.
  • You will help them implement and fine tune their attribution reporting via Marketo Measure.
  • This role blends technical Marketo depth with consulting instincts: you'll need to listen, diagnose, and build, often in the same conversation, to deliver exceptional outcomes for our clients.
  • We partner with Fortune 500 brands and emerging leaders to solve the inherent complexity of modern digital marketing.
  • You'll help clients translate lead management strategy into working Marketo architecture - from segmentation and scoring to integrations and reporting.
  • you'll need to listen, diagnose, and build, often in the same conversation, to deliver exceptional outcomes for our clients.

Requirements

  • Candidates must have current US or Canada work authorization.

Compensation

  • $65k-$75k

Benefits

  • You'll drive measurable improvements in database health, campaign performance, and lead-to-revenue process efficiency.

Visa & Work Authorization

  • Candidates must have current US or Canada work authorization

This listing is sourced directly from Shift's careers page and normalized into a canonical job model.