Director of Yield & Monetization (Hybrid/Remote)

PatientPoint; New York (NY); Hybrid; USD 147,000 - 241,000; Full time

Benefits offered by this job

Hybrid work options

401K plan

Mental and emotional wellness

Job summary

PatientPoint is seeking a Director of Yield Management to own portfolio-level revenue strategies across Direct and Programmatic channels for DOOH and Precision (mobile). This leadership role includes managing a direct report, designing floor policies, and partnering with Ad Ops, Sales, Data, and executives to maximize monetization while protecting client performance.

The candidate will design inventory frameworks, run pricing experiments, and build forecasting models to quantify revenue impact.

Qualifications

• 7+ years in yield management or programmatic monetization with ownership of revenue optimization.
• Hands-on Direct deal and SSP setup experience with programmatic ecosystems.
• Strong analytical skills with Excel/Sheets, SQL, and BI tools.

Responsibilities

• Own portfolio-level yield strategy across Direct and Programmatic channels for DOOH and mobile app.
• Design inventory packaging frameworks and end-to-end programmatic deal operations.
• Run experiments and build forecasting models on revenue and margin impact.
• Build dashboards with Data and maintain campaign health standards.
• Lead SSP partner management and collaborate on ad server configurations.
• Manage and develop a direct report and align with cross-functional teams.

Skills

Yield management

Excel/Sheets

SQL

BI tools

Executive communication

Team leadership

Tools

Ad servers

SSP platforms

GAM

Job description

PatientPoint is seeking a Director of Yield Management to own portfolio-level revenue strategies across Direct and Programmatic channels for DOOH and Precision (mobile). This leadership role includes managing a direct report, designing floor policies, and partnering with Ad Ops, Sales, Data, and executives to maximize monetization while protecting client performance.

The candidate will design inventory frameworks, run pricing experiments, and build forecasting models to quantify revenue impact.