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.