Machine Learning Manager - Ads Targeting Modeling
RedditSalary not specified
- Full Time
- Junior (1 to 2 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Advertising & Marketing, AI & Machine Learning, Data & AnalyticsIndustries
Requirements
Candidates should possess a Bachelor's degree in Computer Science, Engineering, Data Science, or a related field, with a Master's degree being a plus. They must have 3-5 years of technical product management experience in the advertising technology space, demonstrating a proven track record of delivering impactful projects. Strong proficiency in Ad servers, bidding, auctions, DSPs, SSPs, and MMPs is required, along with experience building CTR and CVR-type models. A deep understanding of ads infrastructure, including bidding and pacing, and experience with machine learning models (e.g., XGBoost, DNN) are also necessary.
Responsibilities
The Technical Product Manager will collaborate closely with data science and machine learning engineers to develop and implement advanced models and algorithms that optimize ad performance and user acquisition. They will integrate infrastructure with existing ad systems, communicate effectively with stakeholders across the organization, and utilize analytical skills to define key success metrics and make data-driven decisions. Furthermore, they will stay informed about industry trends and competitive landscape, aligning these insights with StackAdapt’s mission and vision, and contribute to the overall success of the product.
Skills
Product Management
Data Science
Machine Learning
Ad servers
Bidding
Auctions
DSPs
SSPs
MMPs
CTR modeling
CVR modeling
Analytical Skills
Stakeholder Communication
StackAdapt
Programmatic advertising and digital marketing platform
About StackAdapt
StackAdapt specializes in programmatic advertising, which uses software to automate the buying of digital ads. The company provides a platform that enables businesses to run display, video, and native advertising campaigns efficiently. Its main product is a Demand Side Platform (DSP) that allows advertisers to purchase digital ad space in real-time, ensuring that ads reach the right audience at the right moment. Unlike many competitors, StackAdapt does not require monthly minimum spending, giving clients flexibility in their advertising budgets. The company also offers a Creative Studio to help clients enhance their ad content for better results. StackAdapt is particularly recognized for its expertise in native advertising, boasting the largest scale in the industry with numerous integrations and partnerships. The goal of StackAdapt is to empower agencies and brands to maximize their digital advertising efforts through a comprehensive and flexible platform.
Key Metrics
Toronto, CanadaHeadquarters
2014Year Founded
$4.2MTotal Funding
SERIES_BCompany Stage
Consumer Software, EntertainmentIndustries
1,001-5,000Employees