Amazon Advertising LLC

Advertising Technology

PrincipalProductManagerTech-AdServer,PublisherDecisionEngine

$180–243k Seattle, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Principal candidates.

The Brief

“Principal Product Manager Tech - Ad Server, Publisher Decision Engine at Amazon Advertising LLC. Skills: Programmatic Guaranteed, Ad Server, Algorithm optimization. Create roadmap to improve PG Deal Delivery Rates. Design algorithm inputs and outputs”

What You'll Achieve.

Improve current PG Deal Delivery Rates; Drive team closer to delivery target

Industry & Context.

Advertising Technology
Problems you'll solve

Root cause analysis; Data-driven decision making; Troubleshooting

What They're Looking For.

Must Have

Bachelor's degree, Own/drive roadmap strategy and definition, Leader who can prioritize well, Communicate clearly and effectively influence, Directly working with engineering teams, Data analysis and leveraging analytics, Working with science teams influencing algorithm inputs and outputs

Nice to Have

Knowledge of data structures, Algorithm design knowledge, Statistics knowledge, System design knowledge, Formulating and solving predictive modeling problems, Machine learning problem solving, Forecasting problem solving, Statistical modeling problem solving, Programmatic advertising experience, Improving Pacing algorithms leveraging Controller Theory

What You'll Do.

Create roadmap to improve PG Deal Delivery Rates

Design algorithm inputs and outputs

Leverage controller theory to improve PG deal delivery

Define requirements for algorithms

Design experiments to improve PG Deal Delivery

Analyze Programmatic Guaranteed deal delivery metrics

Identify underperforming campaigns

Diagnose root causes across algorithms

Collaborate with TPMs on delivery program

Align stakeholder expectations

Troubleshoot critical delivery gaps

Define requirements to iterate on pacing algorithm implementation

Deep-dive data using analytics tools

Measure impact of algorithm changes

Prepare recommendations for next sprint's roadmap

How You'll Work.

Team & Collaboration

Cross-functional design reviews; Engineering teams; Applied science teams; Yield optimization; Sales teams; Publisher-facing teams

Communication Scope

Communicate clearly; Influence across teams

Process & Methodology

Roadmap planning

Full Job Description

We are seeking a Principal PMT for the Publisher Decision Engine - Ad Server team to own and improve Programmatic Guaranteed deal delivery, which is a key offering from Amazon Ads that enables publishers to monetize their inventory. PubTech (Publisher Technology) builds and operates extensible services that empower publishers (like Prime Video, Twitch, Tubi, and Paramount+) to improve the monetization of their customer experiences, along with the experiences themselves. PubTech offers various deal products that enable publishers to package inventory and sell it to advertisers. A key deal offering is the Programmatic Guaranteed (PG) deal, which allows publishers to sell an impression guarantee to advertisers for a given flight duration and price. PG deals are expected to deliver 100% of the impressions promised for all deals. Not meeting PG deal delivery targets could result in advertisers redistributing their budgets, which impacts revenue for both Amazon and the respective publishers. Key job responsibilities The Amazon Ads and PubTech Ad Server team owns and operates multiple algorithms that work together to optimize Programmatic Guaranteed (PG) deal delivery. These algorithms incorporate PG deal forecasts to determine how to pace deals toward their impression and spend targets, set appropriate impression goals, and select which PG deal(s) to serve for each incoming bid request. As a PM of PG deal deliver in the Ad server team, your key responsibilities will include: 1. Creating a roadmap to improve current PG Deal Delivery Rates across our advertisers. 2. Design current algorithm inputs and outputs and leverage controller theory to improve PG deal delivery. 3. Define requirements for algorithms that account for seasonality, trends, advertiser delivery expectations (even, front loaded, etc), revenue implications and others . 4. Design experiments and iterate to improve on PG Deal Delivery. A day in the life Your morning will begin with analyzing Programmatic Guara

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