Media Operations Analyst, OpenAI Ads (Remote)

Forbes Advisor•Wilmington, DE

20d•Remote

About The Position

Forbes Advisor is seeking a Marketing Operations Analyst for its Performance Marketing team to support the emerging OpenAI Ads initiative. The role will help operate, test, measure, and scale a new advertising channel at the intersection of performance marketing, AI, experimentation, and data. It is intended as an entry-level opportunity for a recent graduate or early-career candidate, and begins as a contract-to-hire role. The analyst will work closely with the current ChatGPT Ads lead and partner with Analytics, Engineering, Creative, Product, category teams, Business Development, leadership, and external platform partners. The work spans campaign execution, experimentation, reporting, performance analysis, and growth. The candidate should be curious, analytical, technically comfortable, and interested in building marketing programs from the ground up in an evolving and ambiguous environment.

Requirements

Bachelor's degree required.
Recent graduate or early-career candidate with strong analytical fundamentals and interest in performance marketing, AI, data, or digital growth.
Strong Excel or Google Sheets skills.
Strong analytical and critical-thinking abilities; comfort working directly with data and using performance signals to make decisions.
Strong written and verbal communication skills, including the ability to work across technical and non-technical teams.
Ability to begin the workday around 7:00 a.m. Eastern Time to provide meaningful overlap across teams in the United States, Europe, and India.
Ability to manage multiple workflows with organization and attention to detail, and to operate amid ambiguity and changing priorities.

Nice To Haves

Experience with SQL, Python, or similar data tools.
Experience with reporting, analytics, automation tools such as Zapier, Tableau, or Looker, or digital analytics platforms.
Working knowledge of performance marketing concepts, conversion funnels, experimentation, and measurement.
Curiosity about AI, search behavior, digital advertising, and emerging marketing ecosystems.
Creative problem-solving ability to develop prompts, targeting concepts, messaging ideas, and test plans.
Commercial mindset and interest in revenue, quality, and profitable growth.
Growth mindset focused on continuous learning, experimentation, and innovation; willingness to challenge assumptions when data or market signals support it.

Responsibilities

Monitor campaign performance and identify issues, anomalies, risks, and opportunities.
Build, launch, quality-assure, and maintain campaigns across emerging AI advertising surfaces.
Develop audiences, personas, context hints, prompts, and targeting approaches to support scalable campaign growth.
Write, test, and refine ad creative, messaging, prompts, and landing-page concepts.
Adjust budgets, pacing, and campaigns based on performance signals and business priorities.
Support conversion tracking, measurement, tagging, and data quality checks.
Build, maintain, and improve reporting to help the team understand performance and identify opportunities.
Help design and analyze experiments across prompts, targeting, creative, landing experiences, audiences, and funnels.
Develop hypotheses based on performance data, platform behavior, user intent, and business needs.
Document learnings as the platform evolves and turn early observations into repeatable operating practices.
Identify opportunities for automation, process improvement, and faster execution; challenge existing approaches and propose new ideas.
Use data to diagnose performance changes, identify root causes, and recommend next steps.
Evaluate performance across revenue, conversion volume, efficiency, quality, and growth potential.
Partner with Analytics and Engineering to improve measurement, reporting, and campaign visibility.
Translate campaign observations into practical recommendations for category, product, and business stakeholders.
Collaborate with Analytics, Engineering, Creative, Product, category teams, leadership, Business Development, and external platform partners.
Communicate findings, risks, and opportunities clearly to technical and non-technical audiences.
Support new partner opportunities, platform tests, and business initiatives related to AI advertising growth.
Take on increasing autonomy as the channel matures and the role grows.
Build repeatable processes as the platform and operating model evolve, while working accurately, proactively, and with strong follow-through.