Paid Growth Architect for AI-Driven Marketing Simulations

Mercor; San Francisco (CA); On-site; USD 110,000 - 170,000; Full time

Job summary

Mercor is building high-fidelity simulated work environments to evaluate AI agents on real marketing work in San Francisco, CA. You will design Paid Growth briefs, artifacts, and judgement criteria that reflect real-world tasks.

You should have hands-on paid acquisition experience, be fluent with Google Ads, Meta Ads, and GA4, and be able to explain why a decision is right. Prior work on AI training environments or RL simulations is strongly preferred.

Qualifications

• Hands-on paid acquisition experience with owned budgets.
• Experience with Google Ads, Meta Ads and GA4.
• Experience building AI training environments, RL environments, or simulated case studies preferred.
• Clear written reasoning—explaining why a decision is right.

Responsibilities

• Design task briefs drawn from paid acquisition work, including the tested issue and the correct decision.
• Specify required documents, dashboards, personas and tool states for realistic task scenarios.
• Write or review reference answers and evaluation criteria.
• Review AI agent attempts and judge them against your standard.

Skills

Paid acquisition

Budget ownership

Analytical thinking

Written reasoning

Tools

Google Ads

Meta Ads

Google Analytics 4

Job description

Mercor is building high-fidelity simulated work environments to evaluate AI agents on real marketing work in San Francisco, CA. You will design Paid Growth briefs, artifacts, and judgement criteria that reflect real-world tasks.

You should have hands-on paid acquisition experience, be fluent with Google Ads, Meta Ads, and GA4, and be able to explain why a decision is right. Prior work on AI training environments or RL simulations is strongly preferred.