Own end-to-end strategy and execution for paid search on Google Ads and Microsoft Ads, plus emerging paid placements on AI/answer engines
Manage a multi-million-dollar annual paid search budget with daily, weekly, and monthly pacing toward signup volume, CAC, and paid-conversion targets
Build and continuously optimize campaign structure, keyword strategy, match types, bidding, and negative-keyword hygiene to maximize qualified free signups
Partner with Creative and Lifecycle to ship a constant cadence of ad copy, RSAs, sitelinks, and landing-page tests (A/B and multivariate)
Develop a measurement framework with Analytics that ties spend to free signups, activation, and paid conversion, not just clicks and CPLs
Identify and launch new paid-search channels and AI-search ad surfaces as the search landscape evolves
Manage relationships with Google, Microsoft, and agency/contract partners; negotiate pricing, betas, and account support
Forecast monthly and quarterly spend, signup volume, and pipeline contribution; own the paid-search section of the marketing QBR
Stay obsessively current on auction dynamics, Smart Bidding, Performance Max, and AI-driven match-type changes and translate them into playbooks for the team
Requirements
Deep, hands-on expertise in Google Ads and Microsoft Ads at scale ($1M+ annual spend) in a B2B SaaS environment
Track record of running paid search for a freemium or product-led growth motion with high signup volume and short, transactional sales cycles
Strong analytical instincts, comfortable in GA4, Looker/Tableau, BigQuery, and spreadsheets; able to build your own funnel views without waiting on Analytics
Sharp creative judgment: you can write strong ad copy and brief landing-page tests, then read the data and call the winner
Working knowledge of attribution models (last-touch, data-driven, MMM) and their trade-offs
Familiarity with paid placements on AI/answer engines (ChatGPT, Perplexity, Google AI Overviews) and a point of view on where this is going
Bias for action, fluent in test-and-learn, and comfortable making bets with imperfect data
Excellent written and verbal communication — you can explain why we won or lost a week to a VP in three sentences
Bachelor’s degree required; Marketing, Business, Economics, Statistics, or a related quantitative field preferred
6+ years of paid search experience, including at least 3 years owning paid search for a B2B SaaS company with a freemium or PLG offering
Demonstrated success managing paid search budgets of $1M+ per year against signup, CAC, and pipeline targets
Google Ads and Microsoft Ads certifications preferred
Equivalent combination of education and high-volume B2B SaaS paid-search experience will be considered.