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Paid Media Manager

Cursor
San Francisco, CA
Full Time

Job Description

Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.

About the role

We’re hiring a paid acquisition marketer to help scale our growth engine. You’ll build and optimize full-funnel campaigns across Google Ads, LinkedIn, Meta, Reddit, YouTube, and emerging developer-focused platforms—turning paid media investment into qualified signups, pipeline, and revenue.

This is a highly analytical, hands-on role with ownership spanning channel strategy, campaign execution, creative testing, landing-page experimentation, and measurement. You’ll work closely with creative, content, product marketing, sales, lifecycle, data, and engineering to improve performance at every stage of the funnel, from the first impression through downstream conversion.

The ideal candidate combines strong paid media expertise with commercial judgment, intellectual curiosity, and a bias toward action. You’re comfortable managing meaningful budgets, digging into attribution and cohort data, and running structured experiments to uncover new growth levers. You’ll thrive here if you move quickly, communicate insights clearly, and are energized by the opportunity to go above and beyond when a high-impact opportunity arises.


What you’ll do

  • Own and scale paid acquisition across channels including Google Ads, LinkedIn, Meta, Reddit, YouTube, and emerging developer-focused platforms

  • Build and optimize full-funnel campaigns that drive qualified signups, pipeline, and revenue, not just clicks

  • Develop channel strategy across search, paid social, retargeting, and experimentation budgets

  • Test ad copy and creative angles tailored to technical audiences.

  • Partner closely with creative, content, and product marketing to ship high-performing ad concepts and landing page iterations

  • Manage campaign structure, keyword strategy, audience segmentation, and bidding to improve CAC and payback

  • Own measurement and attribution, with support from ops and engineering: tracking setup, conversion quality, offline conversion imports, and incrementality testing

  • Analyze performance trends and communicate results clearly through dashboards, reporting, and weekly insights

  • Run structured experiments to identify new growth levers (new audiences, formats, offers, onboarding flows)

  • Collaborate with sales, lifecycle, and data teams to improve lead quality and conversion rates downstream

  • Stay current on platform changes, AI-driven campaign formats, and new opportunities in the paid media ecosystem


You may be a fit if you have:

  • Proven ability to manage meaningful monthly budgets and scale spend efficiently while maintaining performance

  • Deep expertise in Google Ads (Search, YouTube, Performance Max) and at least one major paid social platform

  • Strong understanding of funnel metrics: CAC, LTV, payback period, and conversion rates

  • Experience with analytics and attribution tools.

  • Highly analytical mindset with comfort in spreadsheets, cohort analysis, and performance modeling

  • Ability to move fast, test often, and iterate based on data and user insight

  • Comfortable working cross-functionally in a high-ownership, fast-paced environment

  • Experience in B2B paid media.

  • Willingness to go above and beyond—this isn’t a strict 9–5 role, and while we respect work-life balance, the right person is energized by the occasional late-night project or weekend ping if it means a big opportunity for the business.

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Job Details

Category
Sales & Marketing
Employment Type
Full Time
Location
San Francisco, CA
Posted

About Cursor

Cursor (Anysphere) is building the AI-powered code editor of the future. Their work includes training the world's most widely used coding models, creating infrastructure that supports billions of requests per day, and building better ways for humans and AIs to work together.

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