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Present of AI is seeking a data-driven marketer to manage B2B paid media campaigns across Google, Bing, and LinkedIn. The role emphasizes pipeline quality and cost efficiency over mere click counts, with ownership of end-to-end processes.
The ideal candidate has 3–5 years of hands-on experience, strong analytical habits, and a knack for building automated reporting and keyword workflows using AI tools.
The role asks for someone to run paid search and paid social campaigns end to end, aimed at legal, legal ops and procurement buyers, and to judge success by qualified pipeline and acquisition cost rather than clicks or lead counts. A strong candidate brings three to five years of hands on B2B paid media work, solid Google and Bing Ads skills, LinkedIn campaign experience, and the analytical habit of tying spend to revenue. The posting also expects real ownership: building processes from scratch, running structured experiments, and automating repetitive marketing work.
AI shows up in two places here. One is the work itself: the person is expected to use tools like Claude and ChatGPT for research, analysis and ad copy, and to build automated workflows for reporting, monitoring and keyword work. The other is the channel mix: the role includes testing ads on AI native platforms as they appear. What stays human is judgment, campaign strategy, deciding which experiments matter, and reading results well enough to move budget with confidence.
The job offers direct practice in turning AI tools into repeatable marketing workflows, not one off prompts, plus early hands on testing of AI native ad formats. Since the company builds on device legal AI for contract work, a candidate can strengthen their case by showing comfort with AI assisted analysis and automation, for example no code tools or simple API based workflows, and by explaining how those saved time or improved decisions.
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
Contract lifecycle management built around what the company calls privacy-first, on-device legal AI.