Paid Growth Marketing Expert

Obsidian; San Francisco (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Obsidian is building high-fidelity simulated work environments to evaluate AI agents in marketing tasks. You will design Paid Growth experiments and pressure-test briefs, artifacts, and judgment criteria.

In this role you own paid acquisition tasks, work with Google Ads, Meta Ads, and GA4, and help shape reference answers and evaluation rubrics for AI agents. A hands-on practitioner with clear reasoning will thrive.

Qualifications

• Hands-on practitioner experience running paid acquisition with budget ownership.
• Proficient with Google Ads, Meta Ads, and GA4.
• Experience building AI training or RL environments is preferred.

Responsibilities

• Design task briefs for paid growth experiments.
• Specify required documents, dashboards, personas, and tool states.
• Write or review reference answers and criteria for strong responses.
• Review AI agent attempts and judge against standards.

Skills

Paid acquisition experience

Budget ownership

Written reasoning

Tools

Google Ads

Meta Ads

Google Analytics 4

AI training environments

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.