Senior Paid Search Lead

As Senior Paid Search Lead, you will take full ownership of client accounts: audits, tracking architecture, bidding strategy, Performance Max, feeds, experimentation, and reporting directly to the client's CMO or founder. You will be as comfortable writing a Google Ads script or SQL query as you are defending a growth plan in a boardroom. This role is a strong fit if you have personally scaled $100K+/month accounts and can show the before-and-after numbers. This role is not a fit if your experience is mainly social media buying, executing someone else's strategy, or results described only in CTR and impressions. Responsibilities: Build value-based bidding using margin, LTV, or lead-stage values, with conversion value rules that steer tROAS toward profit. Use marginal ROAS thinking (Performance Planner, bid simulators, spend-response curves) to find where the next dollar stops being profitable. Manage learning phases, seasonality adjustments, data exclusions, portfolio strategies, and new customer acquisition goals. Control PMax cannibalization with brand exclusions, account-level negatives, and URL expansion rules. Segment asset groups by margin tier, category, or audience signal; analyze channel performance and search term insights. Run PMax vs. Standard Shopping vs. Search experiments. Optimize Merchant Center feeds: supplemental feeds, custom labels by margin and stock, query-driven titles, and suspension fixes. Run n-gram analysis at scale to cut waste and find new themes. Decide when broad match + smart bidding works and how AI Max for Search changes matching. Build negative keyword architecture and write RSAs that perform without over-pinning. Implement server-side GTM, GA4, Enhanced Conversions, Consent Mode v2, and offline conversion imports (GCLID/GBRAID/WBRAID) from Salesforce, HubSpot, or Zoho. Reconcile platform conversions against backend revenue using GA4 → BigQuery. Design incrementality tests (geo-holdouts, conversion lift) and translate MMM outputs into budget decisions. Write Google Ads scripts for pacing, anomaly alerts, n-gram reports, and negative mining. Use GAQL, the Google Ads API, BigQuery SQL, and Looker Studio dashboards that blend ad, CRM, and revenue data. Go beyond import: LinkedIn profile targeting, Microsoft Audience Network, Microsoft PMax, separate UET and offline imports, and bids tuned for Microsoft's auctions. Lead QBRs with CMOs and founders, push back with data, and write growth plans with expected impact. Work in unit economics: POAS, contribution margin, LTV: CAC, break-even ROAS, cost per SQL, and pipeline modeling. Diagnose performance drops (tracking, auction, demand, competition, site, seasonality) and recover policy suspensions. Requirements: 6+ years of hands-on paid search, including 3+ years as the primary account owner (not supported or "assisted with"). Personally managed one account spending $100K+/month (₹80 lakh+), or a $3M+/year portfolio. A growth result you led, with numbers on your resume: before and after figures, timeframe, and spend level (e. g., revenue 2x+ at stable ROAS, or CPA down 30%+ while growing volume). Personally implemented GTM (including server-side), GA4, Enhanced Conversions, Consent Mode v2, and CRM offline conversion imports. Value-based bidding in production, feeding margin, LTV, or lead-quality values into Smart Bidding, with measurable impact. Performance Max at scale with control: brand exclusions, margin-based asset groups, custom labels, and search term analysis. Microsoft Advertising experience beyond importing Google campaigns. Written Google Ads scripts or used the Google Ads API and can query data in BigQuery or similar SQL. Presented strategy and results directly to CMOs, founders, or heads of marketing, without a manager in the room. Nice to have: Incrementality testing (geo-holdouts, conversion lift) and working knowledge of MMM (Meridian, Robyn). Merchant Center feed optimization for catalogs of 5,000+ SKUs, using tools like Feedonomics, DataFeedWatch, Channable, or ProductHero. Multi-market or multi-language accounts. Search Ads 360. A track record of turning around an underperforming account. Python for analysis and automation. #J-18808-Ljbffr LeanSummits