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Performance Marketing Lead

Weekday AI · Whiteman Air Force Base, MO

Posted 8/12/2026 · last confirmed live 8/26/2026

Apply on Weekday AI’s site
𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟱𝟱𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟲𝟬𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟱.𝟱-𝟲𝟬 𝗟𝗣𝗔) Experience: 5+ yrs Location: United States, REMOTE(UNITED STATES), USA Job Type: Full-time We are looking for a hands-on  Performance Marketing Lead  to own paid customer acquisition, campaign optimization, experimentation, and performance analytics across multiple digital advertising channels. This is an execution-focused role for a highly analytical marketer who enjoys working directly in campaigns, testing new strategies, analyzing performance data, and turning insights into measurable business results. You will manage substantial advertising budgets, improve acquisition efficiency, and work closely with Creative, Product, Engineering, Analytics, and leadership teams. The ideal candidate combines a  scientific approach to marketing experimentation with strong execution discipline . You should be comfortable forming hypotheses, running structured tests, measuring outcomes, documenting learnings, and quickly applying successful strategies to improve growth. Requirements Key Responsibilities Paid Media Execution & Optimization Build, launch, manage, and optimize campaigns across  Google Ads, Microsoft Ads, YouTube, TikTok, Meta, and other relevant platforms . Manage Google Ads campaigns across  Search, Display, Shopping, and Performance Max . Monitor campaign performance daily, including  CTR, conversion rate, CPC, CAC, ROAS, and cost per registration . Manage advertising budgets to maximize ROI by scaling high-performing campaigns and optimizing or pausing underperforming campaigns. Continuously refine  audience targeting, keywords, bidding strategies, campaign structures, and messaging based on performance data. Provide clear weekly performance reports with actionable insights and recommendations. Experimentation & Growth Design and execute  structured marketing experiments  across targeting, keywords, bidding, creative, landing pages, offers, and campaign strategies. Document experiment hypotheses, methodology, results, learnings, and measurable business impact. Conduct regular performance reviews to identify winning strategies and define future testing priorities. Scale successful experiments into ongoing campaigns while systematically eliminating underperforming approaches. Maintain a continuous testing and optimization roadmap focused on improving acquisition efficiency and revenue. Creative Performance & Collaboration Analyze advertising performance at the  creative and asset level  to identify winning concepts and detect creative fatigue. Provide data-driven feedback to creative teams on messaging, hooks, offers, formats, and concepts that are driving results. Partner with creative strategists to continuously develop and test new advertising assets. Collaborate with Product and Design teams on  landing page optimization and A/B testing . Funnel Optimization & Cross-Functional Execution Analyze the complete customer acquisition funnel, from  ad click and landing page engagement through registration and paid conversion . Identify conversion drop-offs and recommend improvements across the customer journey. Work with Engineering teams to improve registration flows, tracking, attribution, and conversion performance. Share actionable funnel insights with Product, Engineering, Sales, and other relevant teams. Collaborate cross-functionally to solve growth challenges and improve overall customer acquisition efficiency. Analytics, Tracking & Reporting Set up and maintain accurate marketing tracking using  Google Analytics 4, Google Tag Manager, and native advertising platform reporting . Monitor key performance indicators including impressions, clicks, conversions, CTR, CPC, CAC, ROAS, and cost per registration. Ensure data accuracy and integrity across advertising and analytics platforms. Troubleshoot tracking, attribution, and measurement issues. Prepare detailed weekly reports covering  revenue, channel performance, ROAS, CAC trends, conversion metrics, and optimization opportunities . Present data-backed recommendations clearly to leadership and cross-functional stakeholders. What Makes You a Great Fit 5+ years of experience  managing paid digital advertising campaigns at scale. Proven track record of delivering measurable business outcomes through paid acquisition, including  revenue growth, CAC reduction, ROAS improvement, and conversion growth . Strong hands-on expertise with  Google Ads , including Search, Display, Shopping, and Performance Max. Experience managing campaigns on at least one additional platform such as  Microsoft Ads, TikTok, YouTube, or Meta . Strong understanding of paid media strategy, audience targeting, bidding, keyword optimization, budget management, and campaign structures. Hands-on experience setting up and maintaining tracking through  Google Analytics 4 and Google Tag Manager . Proven experience with  A/B testing, structured experimentation, landing page optimization, and funnel analysis . Strong analytical and quantitative abilities, with a habit of making decisions based on evidence rather than assumptions. Excellent ability to translate complex marketing data into clear business insights and actionable recommendations. Highly organized and meticulous about  documentation, measurement, timelines, and processes . Comfortable working independently in a  remote environment  with minimal supervision. Strong ownership mindset and accountability for measurable outcomes. Naturally curious, adaptable, and eager to learn from both successful and unsuccessful experiments. Excellent written and verbal communication skills with the ability to collaborate effectively with technical and non-technical stakeholders. Thrives in a fast-paced environment where  testing, optimization, learning, and continuous improvement  are essential to success.

This role is published by Weekday AI on workable. SwiftFit is not the employer and does not accept applications.