Paid Growth Marketing Expert

Obsidian; Toronto; On-site; CAD 70,000 - 110,000; Full time

Job summary

Obsidian is developing high-fidelity simulated work environments to evaluate AI agents across marketing tools and workflows. The role focuses on designing paid growth tasks, defining the required artifacts and criteria for strong responses, and judging AI attempts against a defined rubric.

The candidate should bring hands-on paid acquisition experience, familiarity with Google Ads, Meta Ads, GA4, and the ability to clearly explain reasoning behind decisions.

Qualifications

• Hands-on practitioner experience running paid acquisition campaigns with budget ownership.
• Ability to analyze campaigns and articulate tested decisions with clear reasoning.
• Familiarity with major ads platforms (Google Ads, Meta Ads) and GA4.

Responsibilities

• Design task briefs drawn from paid acquisition work, detailing what is tested and the correct decision.
• Specify documents, dashboards, personas and tool states required for each task.
• Write or review reference answers and criteria that differentiate strong vs plausible responses.
• Review AI agent attempts and judge them against your own standards.

Skills

Paid acquisition

Budget ownership

Written reasoning

Campaign analysis

Tools

Google Ads

Meta Ads

Google Analytics 4

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.