Yield Manager

PatientPoint•New York City, NY

2d•Hybrid

About The Position

The Yield Manager, Precision is an individual contributor responsible for yield analysis and strategy for PatientPoint’s Precision product. Reporting to the VP, Campaign Management & Yield Optimization, the role builds and maintains dashboards for teams across the organization and designs frameworks for data elevation, ad delivery, campaign optimization, and supply partner management. The Yield Manager provides data-driven recommendations for business and operational decisions and supports the growth of the Precision business. The role owns yield strategy, including pricing guidance, alerting, ad delivery and conversion, and demand allocation. It designs packaging frameworks and end-to-end deal operations, runs structured experiments, and builds forecasting models to quantify revenue and margin impacts. It partners with Data & Analytics on dashboards and campaign and supply health standards, and collaborates with teams including AdOps, Sales, Partner Management, Measurement, and Ad Tech. The position is based in New York with a hybrid option or may be remote.

Requirements

At least 5 years of experience in yield management, publisher ad operations, or programmatic monetization, with direct deal optimization ownership.
At least 5 years of experience with Google Ad Manager, including key-value setup and reporting.
Hands-on SSP deal setup experience and deep knowledge of programmatic ecosystems, including RTB, PMP, and deal IDs, as well as publisher ad tech such as ad servers, SSPs, and OMS.
Proven portfolio-level yield experience with floors, rate cards, packaging, and prioritization—not only campaign optimization.
Strong analytical skills and proficiency in Excel or Sheets and BI tools; SQL is preferred.
Excellent executive communication and presentation abilities.
Willingness to learn and dig into data, ad server setup, and supply partner management.
A systems mindset that balances short-term yield with long-term network and client health.
Ability to simplify complexity and turn detailed targeting parameters into actionable insights.
Technical fluency with engineers and analysts, paired with strong storytelling for commercial and executive audiences.

Nice To Haves

Healthcare or pharma advertising background with compliance and regulatory awareness.
Work experience at a large AdTech company, SSP, or scaled premium publisher.
Experience with programmatic third-party monetization or wrapper companies.
Forecasting or revenue-planning model experience tied to inventory, pricing, and sales targets.

Responsibilities

Own yield strategy, including pricing guidance, alerting, ad delivery and conversion, and demand allocation.
Design packaging frameworks and define end-to-end deal operations from setup through optimization.
Run structured experiments, including A/B and multivariate tests, on priority rules and demand distribution.
Build forecasting models that quantify revenue and margin impacts.
Partner with Data & Analytics to build unified dashboards across channels.
Establish campaign and supply health KPIs and standards, and serve as an escalation point for systemic issue alerts.
Lead strategic collaboration across AdOps, Sales, Partner Management, Measurement, and other teams.
Support internal teams with data and analyses for day-to-day work and for internal and external presentations, including QBRs, roadmap discussions, and monetization opportunities.
Collaborate with Ad Tech on server and OMS configurations.