Paid Growth Marketing Expert

Mercor; Mumbai; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Mercor is seeking a hands-on Paid Growth practitioner to design and pressure-test AI-driven marketing environments. You will craft briefs, define required documents and tool states, and establish reference answers with clear criteria.

You will evaluate AI agent attempts against your standards and drive diagnosis, prioritization, planning, QA, and cross-tool orchestration. The role focuses on paid acquisition strategies, budget ownership, and clear written reasoning to justify decisions, with an

Qualifications

• Hands-on practitioner experience running paid acquisition with ownership of budgets and results.
• Ability to explain decisions with clear written reasoning and justification.
• Experience building or evaluating AI training or RL environments is preferred.

Responsibilities

• Design task briefs drawn from real paid acquisition work, including the testing goal and decision to be reached.
• Specify the documents, dashboards, personas, and tool states required for each task.
• Write or review reference answers and the criteria distinguishing strong responses from plausible but incorrect ones.
• Review AI agent attempts and judge them against your own standards.
• Diagnose issues from messy data, prioritize tradeoffs, plan and execute, QA, reconcile, triage, and report across multiple tools.

Skills

Paid acquisition

Budget ownership

Data-driven decisions

Campaign optimization

Written reasoning

Tools

Google Ads

Meta Ads

Google Analytics 4

A/B testing

Job description

About the work

We are building high-fidelity simulated work environments used to evaluate and improve AI agents on real marketing work. Each environment reproduces a marketing org's actual tool surface — email, storage, CRM, project management, social media management, web analytics, AEO/SEO, ads, CMS, product analytics and support — populated with realistic documents, dashboards, personas and deliberately planted problems.

You will help design and pressure-test the Paid Growth environments: the briefs, the artifacts, the judgment calls a strong practitioner would make, and the errors a weaker one would miss.

What you will do

• Design task briefs drawn from work you have actually done in paid acquisition, including what the task is really testing — the planted issue and the decision a strong practitioner should reach
• Specify the documents, dashboards, personas and tool states a realistic version of that task requires
• Write or review the reference answer and the criteria that separate a strong response from a plausible-but-wrong one
• Review AI agent attempts and judge them against your own standard

Tasks span the capabilities we measure: diagnosing what happened from messy or conflicting data, prioritizing and making tradeoffs, planning and executing, QA and reconciliation, triage and escalation, research and evaluation, reporting, and orchestrating multi-step work across several tools.

Paid Growth scope

Campaign performance diagnosis, budget allocation, funnel and pipeline diagnosis, lead recovery, account-based marketing, and web and pricing journey optimization.

Who we are looking for

• Hands-on practitioner experience running paid acquisition — you have owned budget and results, not only managed people who do it
• Fluent in the tools of the domain: Google Ads, Meta Ads, and Google Analytics 4
• Prior experience building AI training environments, RL environments or simulated case studies is strongly preferred
• Rubric Academy or Rubric Bootcamp certification is strongly preferred
• Clear written reasoning — much of the value is in explaining why a decision is right

Screening

Applicants complete a short multiple-choice knowledge screener specific to this sub-domain before review.