Growth 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, and professional skill sets. Manage campaign setup, budgets, bidding strategies, creative testing, and ongoing optimization. Translate marketplace demand, priority roles, talent requirements, and business timelines into effective acquisition plans. Adjust campaign priorities and strategies in response to changing marketplace demand and business objectives. Track the entire 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, and channels 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, and analytics teams to improve application journeys and conversion performance. Evaluate additional acquisition channels, including TikTok, X, job advertising networks, and other relevant platforms. Monitor advertising spend, acquisition costs, conversion rates, and funnel performance. Leverage spreadsheets, campaign dashboards, GA4, Google Tag Manager, UTMs, and attribution data to analyze performance and inform decisions. Communicate actionable insights and recommendations regarding campaign effectiveness, optimization opportunities, and future growth initiatives. Develop scalable acquisition strategies that can be replicated across different 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, targeting, budgeting, bidding, testing, and optimization. Proven track record of improving acquisition efficiency and conversion quality, supported by measurable campaign results. 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 campaign measurement and performance analysis. Ability to evaluate marketing performance beyond clicks and applications, focusing on qualification, selection, onboarding, and business outcomes. Strong operational ownership and ability to manage multiple campaigns while adapting quickly to changing priorities. 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 abilities and a commitment to experimentation and continuous improvement. Experience with TikTok Ads, X Ads, job advertising networks, or other acquisition channels is an advantage. Previous experience in talent marketplace growth, job platforms, or high-volume lead generation is preferred. Experience managing campaigns across multiple countries or targeting specialized professional audiences is a plus. Familiarity with advertising policies applicable to employment-related campaigns is beneficial. Candidates must demonstrate direct, hands-on ownership of Meta and Google Ads campaigns; experience limited to campaign reporting or coordination 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 bring frontier AI innovations into enterprise environments and solve real-world business challenges. Collaboration with exceptional colleagues with experience at leading technology companies, including Google, Meta, and Amazon. Fast-paced, startup-like environment offering ownership, autonomy, and meaningful professional impact. Opportunity to contribute to innovative projects within a rapidly evolving AI ecosystem. Inclusive and diverse workplace culture that values authenticity, collaboration, and individual contributions.