Performance Marketing Analyst, Paid Acquisition

Accountabilities: Plan, launch, manage, and optimize paid acquisition campaigns across Meta Ads and Google Ads. Develop targeting strategies based on audiences, geographies, job categories, professional skills, and marketplace requirements. Manage campaign setup, budgets, bidding strategies, creative testing, and ongoing performance optimization. Translate marketplace demand, priority roles, talent requirements, and business timelines into effective acquisition plans. Adjust campaign strategies and priorities according to evolving marketplace needs and business objectives. Monitor the complete acquisition funnel, from advertising clicks and applications through qualification, selection, and onboarding. Optimize cost per qualified applicant and cost per onboarded professional while improving acquisition efficiency and applicant quality. Identify the audiences, messaging, channels, and campaigns that generate the strongest downstream business outcomes. Conduct experiments across audiences, keywords, creatives, messaging, landing pages, and bidding strategies to improve conversion rates. Collaborate with marketplace operations, creative, talent, and analytics teams to enhance application journeys and acquisition performance. Explore additional acquisition channels, including TikTok, X, job advertising networks, and other relevant platforms. Track campaign spend, acquisition costs, conversion rates, and funnel performance using dashboards, spreadsheets, GA4, Google Tag Manager, UTMs, and attribution data. Analyze campaign results and communicate actionable recommendations, performance insights, and growth opportunities to stakeholders. Develop scalable and repeatable campaign strategies that support growth across multiple roles, markets, and professional audiences. Requirements: 2–4 years of relevant experience in performance marketing, paid acquisition, or digital advertising campaign management. Hands-on experience managing both Meta Ads Manager and Google Ads, including campaign setup, audience targeting, budgeting, bidding, testing, and optimization. Proven ability to improve acquisition efficiency, conversion quality, and campaign performance, supported by measurable results and practical examples. Strong analytical skills and experience working with spreadsheets, campaign dashboards, funnel metrics, conversion tracking, UTMs, and attribution data. Familiarity with GA4 and Google Tag Manager for tracking, measurement, and performance analysis. Ability to evaluate campaign performance beyond clicks and applications, focusing on qualification, selection, onboarding, and business outcomes. Strong operational ownership and the ability to manage multiple campaigns, adapt to changing priorities, and execute effectively in a fast-paced environment. Excellent communication and collaboration skills, with the ability to work effectively across marketplace operations, talent, creative, and analytics teams. A proactive, results-oriented mindset with strong problem-solving skills and an interest in experimentation and continuous improvement. Experience with TikTok Ads, X Ads, job advertising networks, or other paid acquisition channels is preferred. Experience in talent marketplace growth, job platforms, or high-volume lead generation is an advantage. Experience managing campaigns across multiple countries or targeting specialized professional audiences is preferred. Familiarity with advertising policies and requirements applicable to employment-related campaigns is a plus. Candidates should demonstrate direct ownership of Meta and Google Ads campaigns; experience limited to reporting or campaign coordination without hands-on execution is not sufficient. Benefits: Opportunity to work at the forefront of artificial intelligence and contribute to the development of advanced AI models through expert datasets, reinforcement learning environments, and research benchmarks. Exposure to cutting-edge AI research and opportunities to contribute to work presented at leading conferences such as ICLR, ICML, and NeurIPS. Opportunity to apply frontier AI innovations to real-world enterprise challenges. Collaboration with talented professionals from leading technology companies, including Google, Meta, and Amazon. Fast-paced, startup-like environment offering ownership, autonomy, and meaningful professional impact. Opportunity to work on innovative projects within a rapidly evolving AI ecosystem. Inclusive workplace culture that values diversity, authenticity, and individual contributions.