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Waabi in San Francisco seeks a hands-on marketer to build a demand generation engine from scratch on a small team. You will drive B2B growth marketing, run email nurture and lifecycle programs end to end, and personally handle outbound prospecting to fuel the funnel.
You will analyze CAC and funnel data, craft messages for senior buyers, and write white papers and webinars to accelerate campaigns. AI helps speed content, but decisions stay data-driven.
This role asks for a hands on marketer who can build a demand generation engine from scratch on a small team. A strong candidate brings several years of B2B demand or growth marketing, runs email nurture and lifecycle programs end to end, and is willing to do outbound prospecting personally rather than only planning campaigns. Comfort with funnel and acquisition cost data, plus independent writing of white papers and webinars, matters here.
AI tools are part of the daily workflow, used to speed up content production and campaign work, so the role rewards people who can fold those tools into real marketing processes. The judgment stays human: choosing which logistics buyers to target, shaping the message, and deciding where spend goes based on data. The company sells autonomous transport built largely in simulation, so the marketer has to explain a technical product clearly to senior buyers.
Working here means gaining hands on practice deploying AI tools inside a marketing workflow, which the posting treats as a requirement rather than a bonus. A candidate can build that by using AI to draft and refine content, segment audiences, and speed up campaign production, then showing measurable results. Learning to read funnel and acquisition cost data alongside those tools would round out the proof.
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.
A Toronto company training self-driving trucks and robotaxis mostly inside its own AI-generated simulator, rather than by racking up millions of real road miles.