Senior Paid Search Lead

LeanSummits; Chicago (IL); Híbrido; USD 120.000 - 180.000; Jornada completa

Descripción de la vacante

LeanSummits in Chicago seeks a Senior Paid Search Lead to own client accounts end-to-end—from audits and tracking to bidding strategy, Performance Max, feeds, experiments, and reporting to CMOs.

You will write Google Ads scripts or SQL, defend growth plans in boardrooms, and scale $100K+/month accounts with measurable before/after results.

Formación

• 6+ years in hands-on paid search with 3+ years as the primary owner.
• Personally managed one account spend 100K+/month or 3M+/year portfolio.
• Growth results with before/after figures, timeframe, and spend.
• Implemented GTM (server-side), GA4, Enhanced Conversions, Consent Mode v2, and CRM offline imports.
• Value-based bidding feeding margin, LTV, or lead-quality values into Smart Bidding.
• Performance Max at scale with brand exclusions, margin-based asset groups, and search term analysis.
• Microsoft Advertising experience beyond importing Google campaigns.
• Presented strategy/results directly to CMOs/founders, not via a manager in the room.
• Wrote Google Ads scripts or used the Google Ads API and can query BigQuery.

Responsabilidades

• Audit and optimize client Google Ads accounts end-to-end.
• Build value-based bidding using margin and LTV.
• Manage PMax, Standard Shopping, and Search experiments.
• Optimize Merchant Center feeds and custom labels.
• Implement server-side GTM, GA4, and offline conversions.
• Design incrementality tests and translate MMM outputs into budgets.
• Lead QBRs with CMOs and founders with data-backed growth plans.
• Develop RSAs and robust negative keyword architecture.
• Reconcile conversions with backend revenue in GA4/BigQuery.
• Create Looker Studio dashboards blending ads, CRM, and revenue.

Conocimientos

PPC management

Growth strategy

GTM implementation

GA4 + Conversions

BigQuery

Performance Max

MS Advertising

Google Ads scripts

Account ownership

Herramientas

Google Ads API

BigQuery

Looker Studio

GA4

Descripción del empleo

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.