Manager, Advertising & Supply Strategy

Rockbot

Manager handling yield strategy and performance analysis for Rockbot's advertising inventory. Leading initiatives to leverage AI for optimization and revenue generation.

Posted 5/15/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $95,000 - $120,000 per yearWebsite

Tech Stack

Tools & technologies

Tableau

About the role

Key responsibilities & impact

Own yield strategy and fill analysis across Rockbot's advertising inventory, balancing campaigns, CPM performance, and partner goals.
Monitor impression delivery, pacing, and budget utilization across programmatic and direct campaigns.
Identify key areas for supply optimization, delivering vertical, regional, and seasonal insights to the programmatic and direct sales teams.
Forecast new revenue opportunities through supply data analysis, focusing on venue and vertical growth and expansion.
Develop and maintain dashboards and reporting systems that surface revenue trends, anomalies, and growth opportunities — leveraging AI-assisted tools to accelerate insight generation and anomaly detection.
Leverage LLMs and generative AI to streamline operational workflows, synthesize performance data, and surface actionable recommendations faster.
Apply AI-driven approaches to pricing optimization and yield modeling, helping Rockbot stay ahead of demand patterns and market shifts.
Partner with Product and Engineering to evaluate ad serving logic, targeting performance, and delivery efficiency.
Audit and refine transparency and compliance files (ads.txt, sellers.json, s-chain) to ensure monetization integrity.
Support pricing strategy, packaging, and forecasting for new advertising products and launches.
Identify operational bottlenecks and implement process improvements — including AI-enabled automation — that drive scalable yield performance.
Collaborate across commercial and technical teams to ensure advertising execution aligns with broader business goals.

Requirements

What you’ll need

5–8 years of experience in yield management, data evaluation/analysis, ad operations, revenue strategy, or ad tech analytics.
Deep fluency in media math — impressions, CPMs, pacing, budgets, forecasting, and delivery mechanics.
Expertise in aggregating and analyzing data into actionable insights for cross-departmental applications.
Strong understanding of the programmatic ecosystem, including DSPs, SSPs, ad servers, and supply-side optimization.
Experience working with DOOH, CTV, or multi-channel media inventory (bonus if both).
Hands-on experience using AI tools — including LLMs or gen AI platforms — to enhance reporting, streamline workflows, or accelerate operational decision-making.
Familiarity with AI-driven yield or pricing optimization concepts, with a curiosity to push further as the tooling evolves.
Proficiency in Excel and BI tools such as Looker, Tableau, or similar platforms.
Comfortability in crafting and articulating the data story at all levels of the company.
Extensive real-world experience developing and refining advanced AI prompts.
Exceptional communication skills — you can translate complex performance data into clear recommendations and action.
A high-horsepower, proactive mindset with a bias toward continuous improvement and operational excellence.

Benefits

Comp & perks

Equity and benefits for all team members

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

yield managementdata analysisad operationsrevenue strategymedia mathprogrammatic ecosystemAI-driven yield optimizationpricing optimizationforecastingsupply-side optimization

Soft Skills

communication skillscollaborationproactive mindsetcontinuous improvementanalytical thinkingproblem-solvingdata storytellingcuriosityoperational excellenceprocess improvement